diff --git a/.github/workflows/deploy-docs.yml b/.github/workflows/deploy-docs.yml
index e8ff532..1931f36 100644
--- a/.github/workflows/deploy-docs.yml
+++ b/.github/workflows/deploy-docs.yml
@@ -1,9 +1,12 @@
 name: Docs
-# build the documentation whenever there are new commits on main
+# build the documentation on PRs to main and deploy on pushes to main
 on:
   push:
     branches:
       - main
+  pull_request:
+    branches:
+      - main
 
 # security: restrict permissions for CI jobs.
 permissions:
@@ -30,7 +33,9 @@ jobs:
 
   # Deploy the artifact to GitHub pages.
   # This is a separate job so that only actions/deploy-pages has the necessary permissions.
+  # Only deploy on pushes to main, not on pull requests.
   deploy:
+    if: github.event_name == 'push' && github.ref == 'refs/heads/main'
     needs: build
     runs-on: ubuntu-latest
     permissions:
diff --git a/README.md b/README.md
index c3fd463..17e36a8 100644
--- a/README.md
+++ b/README.md
@@ -84,6 +84,7 @@ Most actions can completed using the `Apparent` object, including the following
 4. _Compare Networks:_ Analyze pairwise distances between networks using metrics like Forman curvature and Ollivier-Ricci curvature.
 5. _Embed Networks:_ Reduce dimensionality for visualization and machine learning.
 6. _Cluster Networks:_ Group similar networks using clustering algorithms like `KMeans`, `DBSCAN`, and hierarchical clustering.
+7. _Local Database:_ Download the SQL database and launch a local Datasette instance for environments with limited connectivity or firewall restrictions.
 
 ### Quick Example
 
@@ -126,6 +127,51 @@ A.embed()
 A.cluster_networks()
 ```
 
+### Working with a Local Database
+
+If you're in an environment with connectivity issues, firewall restrictions, or need offline access, you can download the database and run a local Datasette instance.
+
+```python
+from apparent import Apparent
+from apparent.utils import download_and_launch_local_datasette, stop_local_datasette
+
+# Download the database and start a local Datasette server
+local_url = download_and_launch_local_datasette(verbose=True)
+
+print(f"Local Datasette server running at: {local_url}")
+# Now you can use Apparent as normal, it will automatically use the local URL
+app = Apparent(base_url=local_url)
+
+# Simple sample query that mirrors the test patterns
+# This gets basic network info for small networks from 2017
+query = """
+    SELECT
+    hospital_atlas_data.hsa,
+    hospital_atlas_data.year,
+    hospital_atlas_data.latitude,
+    hospital_atlas_data.longitude
+    FROM
+    hospital_atlas_data
+    WHERE
+    hospital_atlas_data.year = 2017
+    LIMIT
+    10;
+"""
+
+app.pull(query)
+print(f"Retrieved {len(app.data)} networks")
+print(app.data.head())
+
+# Stop the local Datasette server when done
+stop_local_datasette(port=8001)
+```
+
+> **Note**: If receiving a "sqlite3.DatabaseError: database disk image is malformed" error message, we recommend deleting the current version of the database. This can come from ungraceful shutdowns of python subprocesses. If this persists, consider launching the datasette directly with bash with the following command:
+
+```bash
+datasette /path/to/your/local/sqlFile.db --setting sql_time_limit_ms 500000 --setting max_returned_rows 200000 --setting allow_csv_stream off --reload`
+```
+
 ## 🤝 Contributing
 
 Contributions are welcome! To contribute:
@@ -163,6 +209,10 @@ pytest -m unit
 
 ### Integration Tests
 
+You can run integration tests in two ways:
+
+#### Option 1: Using the helper script
+
 A script is provided to simplify running the integration tests. This script handles:
 
 1. Downloading the raw dataset (under `data/us_physician_referral_networks.db`).
@@ -177,6 +227,28 @@ To execute the script, run the following command from the root directory:
 bash tests/run-integration-tests.sh
 ```
 
+#### Option 2: Using the Python API
+
+You can also use the new Python API to set up the local database and run tests:
+
+```python
+from apparent.utils import download_and_launch_local_datasette, stop_local_datasette
+import subprocess
+
+# Download DB and start Datasette
+local_url = download_and_launch_local_datasette(
+    db_path="data/us_physician_referral_networks.db",
+    port=8001,
+    update_env=True
+)
+
+# Run integration tests
+subprocess.run(["python", "-m", "pytest", "tests/", "-v", "-m", "integration"])
+
+# Stop the local Datasette server when done
+stop_local_datasette(port=8001)
+```
+
 ## 📝 License
 
 This project is licensed under the BSD-3 License. See the LICENSE file for details.
diff --git a/apparent/__init__.py b/apparent/__init__.py
index d7855c9..6292040 100644
--- a/apparent/__init__.py
+++ b/apparent/__init__.py
@@ -1,4 +1,4 @@
-version = "1.0.0"
+version = "0.1.3"
 
 from apparent.apparent import Apparent
 
diff --git a/apparent/apparent.py b/apparent/apparent.py
index 8104297..e12d9b1 100644
--- a/apparent/apparent.py
+++ b/apparent/apparent.py
@@ -1,5 +1,11 @@
-"Query and interact with our US Physician Referral Network Datasette."
-
+"""
+Apparent: A Comprehensive Interface for US Physician Referral Network Analysis
+
+The Apparent class provides a user-friendly interface to query, build, analyze,
+and visualize physician referral networks from the US healthcare system. It integrates
+various functionalities including data fetching, network construction, feature
+computation, network comparison, clustering, and embedding.
+"""
 import pandas as pd
 import urllib
 import os
@@ -235,7 +241,8 @@ def build_networks(self, build_method=None):
             graph = self.builder.build(group, hsa=hsa, year=year)
             self.networks[(hsa, year)] = graph
 
-        self.data["Networks"] = self.networks.values()
+        # Map networks to HSA/year pairs using helper
+        self.data["Networks"] = self._map_networks_to_hsa_year_pairs()
 
     def add_features(
         self,
@@ -305,7 +312,8 @@ def add_features(
             # Update the `updated_networks` dictionary with the modified graph
             self.networks[(hsanum, year)] = describer.G
 
-        self.data["Networks"] = self.networks.values()
+        # Map networks to HSA/year pairs using helper
+        self.data["Networks"] = self._map_networks_to_hsa_year_pairs()
 
     def compare(
         self,
@@ -530,6 +538,15 @@ def _load_base_url(self, base_url):
         else:
             load_dotenv()
             return os.getenv("APPARENT_URL")
+    
+    def _map_networks_to_hsa_year_pairs(self):
+        """
+        Map the networks in self.networks to the corresponding HSA/year pairs in self.data.
+        Returns a list of network graphs ordered to match the rows in self.data.
+        """
+        if self.data is None:
+            raise ValueError("self.data must be a valid DataFrame before mapping networks.")
+        return [self.networks.get((row["hsa"], row["year"])) for _, row in self.data.iterrows()]
 
     def _batch_interaction_queries(self):
         queries = []
diff --git a/apparent/utils.py b/apparent/utils.py
new file mode 100644
index 0000000..a1516a8
--- /dev/null
+++ b/apparent/utils.py
@@ -0,0 +1,551 @@
+"""
+Utilities for the Apparent package.
+
+This module provides utility functions for downloading and setting up local databases for
+the Apparent package, enabling local access to the physician referral network data.
+"""
+
+import time
+import subprocess
+from pathlib import Path
+import logging
+from typing import Optional, Union, Tuple, List, Dict, Any
+import requests
+import psutil
+
+
+# Configure logging
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+)
+logger = logging.getLogger(__name__)
+
+
+def download_and_launch_local_datasette(
+    db_url: str = "https://apparent.topology.rocks/us_physician_referral_networks.db",
+    db_path: Union[str, Path] = "data/us_physician_referral_networks.db",
+    port: int = 8001,
+    update_env: bool = True,
+    timeout: int = 60,
+    settings: Optional[dict] = None,
+    verbose: bool = False
+) -> Dict[str, Any]:
+    """
+    Downloads the SQL database from a remote URL and launches a local Datasette instance. If the database file already exists locally, this function will just launch Datasette.
+    
+
+    Parameters
+    ----------
+    db_url : str, optional
+        The URL to download the database from.
+        Default is "https://apparent.topology.rocks/us_physician_referral_networks.db"
+    db_path : str, optional
+        The local path to save the database file to.
+        Default is "data/us_physician_referral_networks.db"
+    port : int, optional
+        The port to run the Datasette server on.
+        Default is 8001.
+    update_env : bool, optional
+        Whether to update the .env file with the local URL.
+        Default is True.
+    timeout : int, optional
+        Maximum time to wait (in seconds) for Datasette to start.
+        Default is 60.
+    settings : dict, optional
+        Additional settings to pass to Datasette.
+        Default settings include:
+        - sql_time_limit_ms: 500000
+        - max_returned_rows: 200000
+        - allow_csv_stream: off
+    verbose : bool, optional
+        If True, enables detailed logging of subprocess output and connection attempts.
+        Default is False.
+
+    Returns
+    -------
+    Dict[str, Any]
+        A dictionary containing information about the running Datasette instance:
+        - 'url': The URL of the locally running Datasette instance
+        - 'pid': The process ID of the Datasette process
+        - 'port': The port number Datasette is running on
+        - 'csv_url': The URL for CSV export endpoint
+
+    Raises
+    ------
+    ImportError
+        If Datasette is not installed.
+    FileNotFoundError
+        If the database file cannot be downloaded.
+    TimeoutError
+        If Datasette fails to start within the timeout period.
+
+    Notes
+    -----
+    This function requires the Datasette package to be installed.
+    You can install it with: pip install datasette
+
+    Examples
+    --------
+    >>> from apparent.utils import download_and_launch_local_db
+    >>> result = download_and_launch_local_db(
+    ...     db_path="path/to/save/database.db",
+    ...     port=8080
+    ... )
+    >>> print(f"Datasette running at: {result['url']}")
+    >>> print(f"Process ID: {result['pid']}")
+    """
+    # Check if datasette is installed
+    try:
+        import importlib.util
+        if importlib.util.find_spec("datasette") is None:
+            raise ImportError("Datasette module not found")
+    except ImportError:
+        msg = (
+            "Datasette is required for this function but it's not installed. "
+            "You can install it with: pip install datasette"
+        )
+        logger.error(msg)
+        raise ImportError(msg)
+
+    # Ensure the directory exists
+    db_path = Path(db_path)
+    db_path.parent.mkdir(parents=True, exist_ok=True)
+
+    # Download the database if it doesn't exist
+    if not db_path.exists():
+        logger.info(f"Downloading database...")
+        try:
+            download_file(db_url, db_path)
+            logger.info(f"Database ready at {db_path}")
+        except Exception as e:
+            logger.error(f"Failed to download database: {e}")
+            raise FileNotFoundError(f"Failed to download database: {e}")
+    elif verbose:
+        logger.info(f"Database file already exists at {db_path}")
+
+    # Default settings for Datasette
+    default_settings = {
+        "sql_time_limit_ms": 500000,
+        "max_returned_rows": 200000,
+        "allow_csv_stream": "off",
+    }
+
+    # Merge with user-provided settings, if any
+    datasette_settings = default_settings.copy()
+    if settings:
+        datasette_settings.update(settings)
+
+    # Build command for Datasette
+    cmd = ["datasette", str(db_path), f"--port={port}"]
+    
+    # Add settings to command
+    for key, value in datasette_settings.items():
+        cmd.append(f"--setting={key}")
+        cmd.append(str(value))
+    
+    logger.info(f"Starting Datasette on port {port}...")
+    if verbose:
+        logger.info(f"Command: {' '.join(cmd)}")
+    
+    # Start Datasette process
+    process = subprocess.Popen(
+        cmd,
+        stdout=subprocess.PIPE,
+        stderr=subprocess.PIPE,
+        universal_newlines=True,
+    )
+
+    if verbose:
+        logger.info(f"Process started with PID: {process.pid}")
+    
+    # Wait for Datasette to start
+    local_url = f"http://127.0.0.1:{port}"
+    csv_url = f"{local_url}/us_physician_referral_networks.csv"
+    
+    start_time = time.time()
+    while time.time() - start_time < timeout:
+        # Check if process is still running and capture any output
+        if process.poll() is not None:
+            # Process has terminated, capture all remaining output
+            stdout, stderr = process.communicate()
+            if verbose:
+                if stdout:
+                    for line in stdout.strip().split('\n'):
+                        if line.strip():
+                            logger.info(f"[stdout] {line}")
+                if stderr:
+                    for line in stderr.strip().split('\n'):
+                        if line.strip():
+                            logger.error(f"[stderr] {line}")
+            
+            error_message = f"Datasette process exited unexpectedly (return code {process.returncode})"
+            logger.error(error_message)
+            raise RuntimeError(error_message)
+        
+        # Try to read any available output without blocking (only in verbose mode)
+        if verbose:
+            try:
+                import select
+                
+                # Check if there's data available to read (Unix-like systems)
+                if hasattr(select, 'select'):
+                    ready, _, _ = select.select([process.stdout, process.stderr], [], [], 0)
+                    
+                    for stream in ready:
+                        line = stream.readline()
+                        if line:
+                            if stream == process.stdout:
+                                logger.info(f"[stdout] {line.strip()}")
+                            else:
+                                logger.error(f"[stderr] {line.strip()}")
+            except (ImportError, OSError):
+                # select not available or not working, skip non-blocking read
+                pass
+        
+        # Check if Datasette is responding
+        try:
+            if verbose:
+                logger.debug(f"Testing connection to {local_url}")
+            response = requests.get(local_url, timeout=3)
+            
+            if response.status_code == 200:
+                logger.info("Datasette is ready!")
+                break
+            elif verbose:
+                logger.warning(f"Unexpected status: {response.status_code}")
+                
+        except requests.RequestException as e:
+            if verbose:
+                logger.debug(f"Connection failed: {e}")
+        
+        elapsed = int(time.time() - start_time)
+        if elapsed % 10 == 0 or verbose:  # Log every 10 seconds normally, or every 2 seconds in verbose mode
+            logger.info(f"Waiting for Datasette... ({elapsed}s)")
+        time.sleep(2)
+    
+    # Check if we timed out
+    if time.time() - start_time >= timeout:
+        logger.error(f"Datasette failed to start after {timeout} seconds")
+        
+        # Capture any remaining output before terminating
+        if process.poll() is None:
+            # Process is still running, terminate and capture output
+            process.terminate()
+            try:
+                stdout, stderr = process.communicate(timeout=5)
+                if stdout:
+                    for line in stdout.strip().split('\n'):
+                        if line.strip():
+                            logger.info(f"[Datasette stdout] {line}")
+                if stderr:
+                    for line in stderr.strip().split('\n'):
+                        if line.strip():
+                            logger.error(f"[Datasette stderr] {line}")
+            except subprocess.TimeoutExpired:
+                logger.error("Process did not terminate gracefully, killing it")
+                process.kill()
+                stdout, stderr = process.communicate()
+        
+        raise TimeoutError(f"Datasette failed to start after {timeout} seconds")
+    
+    # Final check if Datasette started successfully
+    try:
+        response = requests.get(local_url, timeout=1)
+        if response.status_code != 200:
+            raise TimeoutError(f"Datasette responded with status code {response.status_code}")
+    except requests.RequestException as e:
+        # Kill the process if it's still running
+        if process.poll() is None:
+            process.terminate()
+            
+        error_message = f"Datasette failed to respond properly: {e}"
+        logger.error(error_message)
+        raise TimeoutError(error_message)
+    
+    # Update .env file if requested
+    if update_env:
+        update_env_file(csv_url)
+    
+    # Return process information
+    result = {
+        'url': local_url,
+        'pid': process.pid,
+        'port': port,
+        'csv_url': csv_url
+    }
+    
+    logger.info(f"Datasette running at {local_url}")
+    return result
+
+
+def download_file(url: str, destination: Union[str, Path], chunk_size: int = 8192) -> None:
+    """
+    Download a file from a URL to a local destination with progress reporting.
+    
+    Parameters
+    ----------
+    url : str
+        The URL to download from.
+    destination : str or Path
+        The local path where the file will be saved.
+    chunk_size : int, optional
+        Size of chunks to download at a time, in bytes.
+        Default is 8192.
+    
+    Returns
+    -------
+    None
+    
+    Raises
+    ------
+    Exception
+        If the download fails for any reason.
+    """
+    destination = Path(destination)
+    
+    try:
+        with requests.get(url, stream=True) as r:
+            r.raise_for_status()
+            total_size = int(r.headers.get('content-length', 0))
+            
+            # Format total size in MB
+            total_size_mb = total_size / (1024 * 1024)
+            logger.info(f"Downloading {total_size_mb:.1f} MB file...")
+            
+            downloaded = 0
+            with open(destination, 'wb') as f:
+                for chunk in r.iter_content(chunk_size=chunk_size):
+                    if chunk:
+                        f.write(chunk)
+                        downloaded += len(chunk)
+                        
+                        # Update progress every ~5% or at least every MB
+                        progress_pct = (downloaded / total_size) * 100 if total_size else 0
+                        if total_size and downloaded % (max(1, int(total_size * 0.05))) < chunk_size:
+                            downloaded_mb = downloaded / (1024 * 1024)
+                            logger.info(f"Downloaded {downloaded_mb:.1f} MB of {total_size_mb:.1f} MB ({progress_pct:.1f}%)")
+                            
+    except requests.exceptions.RequestException as e:
+        logger.error(f"Error downloading file: {e}")
+        # Remove partial file if it exists
+        if destination.exists():
+            destination.unlink()
+        raise
+
+
+def update_env_file(local_url: str) -> None:
+    """
+    Update the .env file with the LOCAL_URL environment variable.
+    
+    Parameters
+    ----------
+    local_url : str
+        The URL of the locally running Datasette instance.
+    
+    Returns
+    -------
+    None
+    """
+    env_path = Path(".env")
+    
+    # Read existing environment variables if file exists
+    env_vars = {}
+    if env_path.exists():
+        with open(env_path, "r") as f:
+            for line in f:
+                if "=" in line:
+                    key, value = line.strip().split("=", 1)
+                    env_vars[key] = value
+    
+    # Update or add LOCAL_URL
+    env_vars["LOCAL_URL"] = local_url
+    
+    # Make sure APPARENT_URL is set
+    if "APPARENT_URL" not in env_vars:
+        env_vars["APPARENT_URL"] = "https://apparent.topology.rocks/us_physician_referral_networks.csv"
+    
+    # Write updated environment variables back to file
+    with open(env_path, "w") as f:
+        for key, value in env_vars.items():
+            f.write(f"{key}={value}\n")
+    
+    logger.info(f"Updated .env file with LOCAL_URL={local_url}")
+
+
+def stop_local_datasette(port: Optional[int] = None, pid: Optional[int] = None, verbose: bool = False) -> bool:
+    """
+    Stop a running Datasette instance by port or process ID.
+    
+    Parameters
+    ----------
+    port : int, optional
+        The port number where Datasette is running. If provided, will find and stop
+        the process listening on this port.
+    pid : int, optional
+        The process ID of the Datasette instance to stop.
+    verbose : bool, optional
+        If True, provides detailed logging of the stop process.
+        Default is False.
+    
+    Returns
+    -------
+    bool
+        True if a process was found and stopped, False otherwise.
+    
+    Raises
+    ------
+    ValueError
+        If neither port nor pid is provided.
+    ImportError
+        If psutil is not installed.
+    
+    Notes
+    -----
+    This function requires the psutil package to be installed.
+    You can install it with: pip install psutil
+    
+    Examples
+    --------
+    >>> from apparent.utils import stop_datasette
+    >>> # Stop by port
+    >>> stopped = stop_datasette(port=8001)
+    >>> # Stop by process ID  
+    >>> stopped = stop_datasette(pid=12345)
+    """
+    if port is None and pid is None:
+        raise ValueError("Either port or pid must be provided")
+
+    
+    processes_to_stop = []
+    
+    if port is not None:
+        # Find processes listening on the specified port
+        if verbose:
+            logger.info(f"Looking for processes listening on port {port}")
+        
+        for proc in psutil.process_iter(['pid', 'name', 'cmdline']):
+            try:
+                connections = proc.connections()
+                for conn in connections:
+                    if conn.laddr.port == port and conn.status == psutil.CONN_LISTEN:
+                        processes_to_stop.append(proc)
+                        if verbose:
+                            logger.info(f"Found process {proc.pid} ({proc.name()}) listening on port {port}")
+                        break
+            except (psutil.NoSuchProcess, psutil.AccessDenied, psutil.ZombieProcess):
+                continue
+    
+    if pid is not None:
+        # Find the specific process by PID
+        try:
+            proc = psutil.Process(pid)
+            processes_to_stop.append(proc)
+            if verbose:
+                logger.info(f"Found process {pid} ({proc.name()})")
+        except psutil.NoSuchProcess:
+            if verbose:
+                logger.warning(f"No process found with PID {pid}")
+    
+    if not processes_to_stop:
+        if verbose:
+            logger.info("No matching processes found")
+        return False
+    
+    # Stop the processes
+    stopped_any = False
+    for proc in processes_to_stop:
+        try:
+            if verbose:
+                logger.info(f"Stopping process {proc.pid} ({proc.name()})")
+            
+            # First try graceful termination
+            proc.terminate()
+            
+            # Wait up to 5 seconds for graceful shutdown
+            try:
+                proc.wait(timeout=5)
+                logger.info(f"Successfully stopped Datasette process {proc.pid}")
+                stopped_any = True
+            except psutil.TimeoutExpired:
+                # Force kill if it doesn't terminate gracefully
+                if verbose:
+                    logger.warning(f"Process {proc.pid} did not terminate gracefully, forcing kill")
+                proc.kill()
+                proc.wait()
+                logger.info(f"Force stopped Datasette process {proc.pid}")
+                stopped_any = True
+                
+        except psutil.NoSuchProcess:
+            if verbose:
+                logger.info(f"Process {proc.pid} already stopped")
+            stopped_any = True
+        except psutil.AccessDenied:
+            logger.error(f"Access denied when trying to stop process {proc.pid}")
+        except Exception as e:
+            logger.error(f"Error stopping process {proc.pid}: {e}")
+    
+    return stopped_any
+
+
+def list_datasette_processes(verbose: bool = False) -> List[dict]:
+    """
+    List all running Datasette processes.
+    
+    Parameters
+    ----------
+    verbose : bool, optional
+        If True, provides detailed information about each process.
+        Default is False.
+    
+    Returns
+    -------
+    List[dict]
+        A list of dictionaries containing process information.
+        Each dictionary has keys: 'pid', 'name', 'cmdline', 'ports'
+    
+    Raises
+    ------
+    ImportError
+        If psutil is not installed.
+    
+    Examples
+    --------
+    >>> from apparent.utils import list_datasette_processes
+    >>> processes = list_datasette_processes()
+    >>> for proc in processes:
+    ...     print(f"PID: {proc['pid']}, Ports: {proc['ports']}")
+    """
+    datasette_processes = []
+    
+    for proc in psutil.process_iter(['pid', 'name', 'cmdline']):
+        try:
+            # Check if this is a Datasette process
+            cmdline = proc.cmdline()
+            if cmdline and len(cmdline) > 0 and 'datasette' in cmdline[0].lower():
+                # Get ports this process is listening on
+                ports = []
+                try:
+                    connections = proc.connections()
+                    for conn in connections:
+                        if conn.status == psutil.CONN_LISTEN:
+                            ports.append(conn.laddr.port)
+                except (psutil.AccessDenied, psutil.NoSuchProcess):
+                    ports = ['unknown']
+                
+                process_info = {
+                    'pid': proc.pid,
+                    'name': proc.name(),
+                    'cmdline': cmdline,
+                    'ports': sorted(set(ports)) if ports != ['unknown'] else ports
+                }
+                
+                datasette_processes.append(process_info)
+                
+                if verbose:
+                    logger.info(f"Found Datasette process: PID={proc.pid}, Ports={ports}")
+                    
+        except (psutil.NoSuchProcess, psutil.AccessDenied, psutil.ZombieProcess):
+            continue
+    
+    return datasette_processes
diff --git a/docs/images/before_after_sampling.png b/docs/images/before_after_sampling.png
new file mode 100644
index 0000000..d4d4b5a
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diff --git a/docs/images/network_clusters.png b/docs/images/network_clusters.png
new file mode 100644
index 0000000..f2736be
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diff --git a/docs/images/network_embedding.png b/docs/images/network_embedding.png
new file mode 100644
index 0000000..69c82d9
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diff --git a/docs/images/power_law_fitting.png b/docs/images/power_law_fitting.png
new file mode 100644
index 0000000..cabb6d1
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diff --git a/docs/images/shared_patients_distribution.png b/docs/images/shared_patients_distribution.png
new file mode 100644
index 0000000..e680af7
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diff --git a/docs/source/index.rst b/docs/source/index.rst
index 87ba1ca..30bf2a0 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -121,6 +121,56 @@ Here's a quick example for how you can pull specific Physician Referral Networks
     # Cluster networks based on structural similarity
     A.cluster_networks()
 
+Working with a Local Database
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+If you're in an environment with connectivity issues, firewall restrictions, or need offline access, you can download the database and run a local Datasette instance:
+
+.. code-block:: python
+
+    from apparent import Apparent
+    from apparent.utils import download_and_launch_local_datasette, stop_local_datasette
+
+    # Download the database and start a local Datasette server
+    local_url = download_and_launch_local_datasette(verbose=True)
+
+    print(f"Local Datasette server running at: {local_url}")
+    # Now you can use Apparent as normal, it will automatically use the local URL
+    app = Apparent(base_url=local_url)
+
+    # Simple sample query that mirrors the test patterns
+    # This gets basic network info for small networks from 2017
+    query = """
+    SELECT
+        hospital_atlas_data.hsa,
+        hospital_atlas_data.year,
+        hospital_atlas_data.latitude,
+        hospital_atlas_data.longitude,
+        referral_network_features.nnodes,
+        referral_network_features.nedges,
+        referral_network_features.forman_mean
+    FROM
+        hospital_atlas_data
+        JOIN referral_network_features ON hospital_atlas_data.hsa = referral_network_features.hsa
+        AND hospital_atlas_data.year = referral_network_features.year
+    WHERE
+        hospital_atlas_data.year = 2017
+        AND referral_network_features.nnodes > 10
+        AND referral_network_features.nnodes < 50
+        AND referral_network_features.nedges < 200
+    ORDER BY
+        referral_network_features.nnodes
+    LIMIT 5;
+    """
+
+    app.pull(query)
+    print(f"Retrieved {len(app.data)} networks")
+    print(app.data.head())
+
+    # Stop the local Datasette server when done
+    stop_local_datasette(port=8001)
+ 
+
 Contributing
 ------------
 
@@ -163,6 +213,10 @@ Then, you can run the unit tests:
 Integration Tests
 ~~~~~~~~~~~~~~~~~~~
 
+You can run integration tests in two ways:
+
+**Option 1: Using the helper script**
+
 A script is provided to simplify running the integration tests. This script handles:
 
 1. Downloading the raw dataset (under ``data/us_physician_referral_networks.db``).
@@ -178,6 +232,28 @@ To execute the script, run the following command from the root directory:
 
     bash tests/run-integration-tests.sh
 
+**Option 2: Using the Python API**
+
+You can also use the Python API to set up the local database and run tests:
+
+.. code-block:: python
+
+    from apparent.utils import download_and_launch_local_datasette, stop_local_datasette
+    import subprocess
+
+    # Download DB and start Datasette
+    local_url = download_and_launch_local_datasette(
+        db_path="data/us_physician_referral_networks.db",
+        port=8001,
+        update_env=True
+    )
+
+    # Run integration tests
+    subprocess.run(["python", "-m", "pytest", "tests/", "-v", "-m", "integration"])
+
+    # Stop the local Datasette server when done
+    stop_local_datasette(port=8001)
+
 
 
 
diff --git a/pyproject.toml b/pyproject.toml
index 2d200ae..d0ddaf4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "apparently"
-version = "0.1.1"
+version = "0.1.10"
 description = "Analyzing Physician-Patient Referral Network TopoLogY"
 authors = [
   { name = "Jeremy Wayland", email = "jeremy.don.wayland@gmail.com" },
@@ -11,12 +11,15 @@ requires-python = ">=3.10"
 readme = "README.md"
 license = { text = "BSD 3-Clause License" }
 dependencies = [
-  "curvature-filtrations>=0.1.0",
-  "pandas>=2.2.3,<3",
-  "python-dotenv>=1.0.1,<2",
-  "matplotlib>=3.9.2,<4",
-  "tqdm>=4.67.1,<5",
-  "swifter>=1.4.0,<2",
+  "curvature-filtrations>=0.1.1",
+  "datasette>=0.65.1",
+  "pandas>=2.2.3",
+  "python-dotenv>=1.0.1",
+  "tqdm>=4.67.1",
+  "swifter>=1.4.0",
+  "requests>=2.32.0",
+  "psutil>=7.0.0",
+  "matplotlib>=3.10.3",
 ]
 
 [project.urls]
@@ -27,11 +30,12 @@ Dashboard = "https://apparent.topology.rocks/"
 
 [dependency-groups]
 dev = [
-  "datasette>=0.65.1",
   "furo>=2024.8.6",
   "ipykernel>=6.29.5",
+  "jupyter>=1.1.1",
   "pytest>=8.3.3,<9",
-    "pytest-cov>=6.2.1",
+  "pytest-cov>=6.2.1",
+  "seaborn>=0.13.2",
   "sphinx>=8.1.3",
 ]
 
diff --git a/tests/run-integration-tests.sh b/tests/run-integration-tests.sh
index 4f55445..da03047 100755
--- a/tests/run-integration-tests.sh
+++ b/tests/run-integration-tests.sh
@@ -9,6 +9,14 @@ source .venv/bin/activate
 DB_URL="https://apparent.topology.rocks/us_physician_referral_networks.db"
 DB_FILE="data/us_physician_referral_networks.db"
 
+# Check if the destination folder exists, create it if not
+DIR_NAME=$(dirname "$DB_FILE")
+if [ ! -d "$DIR_NAME" ]; then
+  echo "Directory '$DIR_NAME' does not exist. Creating it..."
+  mkdir -p "$DIR_NAME"
+fi
+
+# Check if the file exists, create it if not
 if [ ! -f "$DB_FILE" ]; then
   echo "Downloading database from $DB_URL..."
   curl -L -o "$DB_FILE" "$DB_URL"
diff --git a/tests/test_utils.py b/tests/test_utils.py
new file mode 100644
index 0000000..8400ec3
--- /dev/null
+++ b/tests/test_utils.py
@@ -0,0 +1,419 @@
+"""Tests for the utils module."""
+
+import os
+import tempfile
+import pytest
+import shutil
+from pathlib import Path
+import requests
+import subprocess
+import time
+from unittest import mock
+
+from apparent.utils import download_and_launch_local_datasette, download_file, update_env_file, stop_local_datasette, list_datasette_processes
+
+
+class MockResponse:
+    def __init__(self, status_code=200, content=b"mock content", headers=None):
+        self.status_code = status_code
+        self.content = content
+        self.headers = headers or {"content-length": str(len(content))}
+        self._content = content
+        
+    def raise_for_status(self):
+        if self.status_code >= 400:
+            raise requests.HTTPError(f"HTTP Error: {self.status_code}")
+    
+    def iter_content(self, chunk_size=1):
+        for i in range(0, len(self.content), chunk_size):
+            yield self.content[i:i+chunk_size]
+
+    def __enter__(self):
+        return self
+    
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        pass
+
+
+@pytest.mark.unit
+class TestUtils:
+    """Test suite for the utils module."""
+    
+    @pytest.fixture
+    def temp_dir(self):
+        """Create a temporary directory for tests."""
+        tmp_dir = tempfile.mkdtemp()
+        yield tmp_dir
+        shutil.rmtree(tmp_dir)
+    
+    @pytest.fixture
+    def mock_env_file(self, temp_dir):
+        """Create a temporary .env file for testing."""
+        env_path = Path(temp_dir) / ".env"
+        with open(env_path, "w") as f:
+            f.write("APPARENT_URL=https://example.com/data.csv\n")
+        
+        # Mock os.getcwd to return the temp dir
+        with mock.patch("os.getcwd", return_value=temp_dir):
+            yield env_path
+    
+    @mock.patch("apparent.utils.requests.get")
+    def test_download_file(self, mock_get, temp_dir):
+        """Test downloading a file."""
+        mock_content = b"test database content"
+        mock_get.return_value = MockResponse(content=mock_content)
+        
+        # Create a destination path
+        dest_path = Path(temp_dir) / "test.db"
+        
+        # Call the function
+        download_file("https://example.com/test.db", dest_path)
+        
+        # Check that the file was created with the correct content
+        assert dest_path.exists()
+        with open(dest_path, "rb") as f:
+            content = f.read()
+            assert content == mock_content
+    
+    def test_update_env_file(self, temp_dir):
+        """Test updating the .env file."""
+        import os
+        
+        # Create a real .env file in temp directory
+        env_path = Path(temp_dir) / ".env"
+        with open(env_path, "w") as f:
+            f.write("APPARENT_URL=https://example.com/data.csv\n")
+        
+        # Change to temp directory and call function
+        original_cwd = os.getcwd()
+        try:
+            os.chdir(temp_dir)
+            update_env_file("http://localhost:8001/data.csv")
+        finally:
+            os.chdir(original_cwd)
+        
+        # Read the file and check contents
+        with open(env_path, "r") as f:
+            content = f.read()
+            
+        # Should contain both URLs
+        assert "LOCAL_URL=http://localhost:8001/data.csv" in content
+        assert "APPARENT_URL=https://example.com/data.csv" in content
+    
+    @mock.patch("apparent.utils.requests.get")
+    @mock.patch("apparent.utils.subprocess.Popen")
+    @mock.patch("apparent.utils.update_env_file")
+    def test_download_and_launch_local_datasette_existing_file(self, mock_update_env, mock_popen, mock_get, temp_dir):
+        """Test downloading and launching when the DB already exists."""
+        # Create a mock DB file
+        db_path = Path(temp_dir) / "test.db"
+        with open(db_path, "wb") as f:
+            f.write(b"test database content")
+        
+        # Setup mocks
+        mock_process = mock.MagicMock()
+        mock_process.poll.return_value = None
+        mock_process.communicate.return_value = ("output", "")
+        mock_process.pid = 12345
+        mock_popen.return_value = mock_process
+        
+        mock_get.return_value = MockResponse()
+        
+        # Call function with existing DB
+        result = download_and_launch_local_datasette(
+            db_path=db_path,
+            port=9999,
+            update_env=True,
+            timeout=1
+        )
+        
+        # Verify Datasette was launched correctly
+        assert result['url'] == "http://127.0.0.1:9999"
+        assert result['port'] == 9999
+        assert result['csv_url'] == "http://127.0.0.1:9999/us_physician_referral_networks.csv"
+        assert 'pid' in result
+        mock_popen.assert_called_once()
+        
+        # Check that download wasn't attempted
+        assert not any("download" in str(call).lower() for call in mock_get.call_args_list)
+        
+        # Check env file was updated
+        mock_update_env.assert_called_once()
+    
+    @mock.patch("apparent.utils.download_file")
+    @mock.patch("apparent.utils.requests.get")
+    @mock.patch("apparent.utils.subprocess.Popen")
+    @mock.patch("apparent.utils.update_env_file")
+    def test_download_and_launch_local_datasette_new_file(self, mock_update_env, mock_popen, mock_get, mock_download, temp_dir):
+        """Test downloading and launching when the DB doesn't exist."""
+        # Setup path to a non-existent file
+        db_path = Path(temp_dir) / "new.db"
+        
+        # Setup mocks
+        mock_process = mock.MagicMock()
+        mock_process.poll.return_value = None
+        mock_process.communicate.return_value = ("output", "")
+        mock_process.pid = 12345
+        mock_popen.return_value = mock_process
+        
+        mock_get.return_value = MockResponse()
+        
+        # Call function with non-existent DB
+        result = download_and_launch_local_datasette(
+            db_url="https://example.com/test.db",
+            db_path=db_path,
+            port=9999,
+            update_env=True,
+            timeout=1
+        )
+        
+        # Verify Datasette was launched correctly
+        assert result['url'] == "http://127.0.0.1:9999"
+        assert result['port'] == 9999
+        assert result['csv_url'] == "http://127.0.0.1:9999/us_physician_referral_networks.csv"
+        assert 'pid' in result
+        
+        # Check that download was attempted
+        mock_download.assert_called_once_with("https://example.com/test.db", db_path)
+        
+        # Check env file was updated
+        mock_update_env.assert_called_once()
+        
+    @mock.patch("apparent.utils.requests.get")
+    @mock.patch("apparent.utils.subprocess.Popen")
+    def test_download_and_launch_local_datasette_timeout(self, mock_popen, mock_get, temp_dir):
+        """Test timeout handling when Datasette fails to start."""
+        # Create a mock DB file
+        db_path = Path(temp_dir) / "test.db"
+        with open(db_path, "wb") as f:
+            f.write(b"test database content")
+        
+        # Setup mocks
+        mock_process = mock.MagicMock()
+        mock_process.poll.return_value = None
+        mock_process.communicate.return_value = ("output", "error message")
+        mock_process.pid = 12345
+        mock_popen.return_value = mock_process
+        
+        # Mock requests to simulate Datasette not starting
+        mock_get.side_effect = requests.RequestException("Connection refused")
+        
+        # Test that a timeout exception is raised
+        with pytest.raises(TimeoutError):
+            download_and_launch_local_datasette(
+                db_path=db_path,
+                port=9999,
+                update_env=False,
+                timeout=1
+            )
+    
+    @mock.patch("importlib.util.find_spec")
+    def test_download_and_launch_local_datasette_missing_datasette(self, mock_find_spec):
+        """Test handling when Datasette is not installed."""
+        # Setup mock to simulate datasette not being installed
+        mock_find_spec.return_value = None
+        
+        # Test that an ImportError is raised with a helpful message
+        with pytest.raises(ImportError) as e:
+            download_and_launch_local_datasette()
+        
+        assert "Datasette is required" in str(e.value)
+    
+    @mock.patch("apparent.utils.requests.get")
+    @mock.patch("apparent.utils.subprocess.Popen")
+    @mock.patch("apparent.utils.update_env_file")
+    @mock.patch("select.select")  # Mock select module directly
+    def test_download_and_launch_local_datasette_verbose_mode(self, mock_select, mock_update_env, mock_popen, mock_get, temp_dir):
+        """Test that verbose mode provides additional logging."""
+        # Create a mock DB file
+        db_path = Path(temp_dir) / "test.db"
+        with open(db_path, "wb") as f:
+            f.write(b"test database content")
+        
+        # Setup mocks
+        mock_process = mock.MagicMock()
+        mock_process.poll.return_value = None
+        mock_process.communicate.return_value = ("output", "")
+        mock_process.pid = 12345
+        mock_popen.return_value = mock_process
+        
+        # Mock select to return empty (no data available)
+        mock_select.return_value = ([], [], [])
+        
+        mock_get.return_value = MockResponse()
+        
+        # Call function with verbose=True
+        with mock.patch("apparent.utils.logger") as mock_logger:
+            result = download_and_launch_local_datasette(
+                db_path=db_path,
+                port=9999,
+                update_env=False,
+                timeout=1,
+                verbose=True
+            )
+            
+            # Check that verbose logging was used
+            mock_logger.info.assert_any_call("Command: datasette %s --port=9999 --setting=sql_time_limit_ms 500000 --setting=max_returned_rows 200000 --setting=allow_csv_stream off" % str(db_path))
+            mock_logger.info.assert_any_call("Process started with PID: 12345")
+    
+    
+    def test_stop_local_datasette_no_port_or_pid(self):
+        """Test stop_local_datasette when neither port nor pid is provided."""
+        with pytest.raises(ValueError) as e:
+            stop_local_datasette()
+        
+        assert "Either port or pid must be provided" in str(e.value)
+    
+    @mock.patch("apparent.utils.psutil")
+    def test_stop_local_datasette_by_port(self, mock_psutil):
+        """Test stopping Datasette by port number."""
+        # Setup mock process
+        mock_proc = mock.MagicMock()
+        mock_proc.pid = 12345
+        mock_proc.name.return_value = "datasette"
+        
+        # Create mock connection object
+        mock_conn = mock.MagicMock()
+        mock_conn.laddr.port = 8001
+        mock_conn.status = "LISTEN"
+        mock_proc.connections.return_value = [mock_conn]
+        
+        mock_psutil.process_iter.return_value = [mock_proc]
+        mock_psutil.CONN_LISTEN = "LISTEN"
+        
+        # Call function
+        result = stop_local_datasette(port=8001, verbose=True)
+        
+        # Verify process was terminated
+        assert result is True
+        mock_proc.terminate.assert_called_once()
+        mock_proc.wait.assert_called_once()
+    
+    @mock.patch("apparent.utils.psutil")
+    def test_stop_local_datasette_by_pid(self, mock_psutil):
+        """Test stopping Datasette by process ID."""
+        # Setup mock process
+        mock_proc = mock.MagicMock()
+        mock_proc.pid = 12345
+        mock_proc.name.return_value = "datasette"
+        
+        mock_psutil.Process.return_value = mock_proc
+        
+        # Call function
+        result = stop_local_datasette(pid=12345)
+        
+        # Verify process was found and terminated
+        assert result is True
+        mock_psutil.Process.assert_called_once_with(12345)
+        mock_proc.terminate.assert_called_once()
+        mock_proc.wait.assert_called_once()
+    
+    @mock.patch("apparent.utils.psutil")
+    def test_stop_local_datasette_process_not_found(self, mock_psutil):
+        """Test stopping Datasette when no matching process is found."""
+        # Setup empty process list
+        mock_psutil.process_iter.return_value = []
+        
+        # Call function
+        result = stop_local_datasette(port=8001)
+        
+        # Verify no process was stopped
+        assert result is False
+    
+    @mock.patch("apparent.utils.psutil")
+    def test_stop_local_datasette_force_kill(self, mock_psutil):
+        """Test force killing when graceful termination fails."""
+        # Setup mock process that doesn't terminate gracefully
+        mock_proc = mock.MagicMock()
+        mock_proc.pid = 12345
+        mock_proc.name.return_value = "datasette"
+        
+        # Create mock connection object
+        mock_conn = mock.MagicMock()
+        mock_conn.laddr.port = 8001
+        mock_conn.status = "LISTEN"
+        mock_proc.connections.return_value = [mock_conn]
+        
+        # Setup TimeoutExpired exception
+        timeout_exception = Exception("timeout")  # Simple exception for testing
+        mock_proc.wait.side_effect = [timeout_exception, None]
+        
+        mock_psutil.process_iter.return_value = [mock_proc]
+        mock_psutil.CONN_LISTEN = "LISTEN"
+        mock_psutil.TimeoutExpired = Exception
+        
+        # Call function
+        result = stop_local_datasette(port=8001, verbose=True)
+        
+        # Verify process was force killed
+        assert result is True
+        mock_proc.terminate.assert_called_once()
+        mock_proc.kill.assert_called_once()
+        assert mock_proc.wait.call_count == 2
+    
+
+    
+    @mock.patch("apparent.utils.psutil")
+    def test_list_datasette_processes(self, mock_psutil):
+        """Test listing Datasette processes."""
+        # Setup mock processes
+        mock_datasette_proc = mock.MagicMock()
+        mock_datasette_proc.pid = 12345
+        mock_datasette_proc.name.return_value = "python"
+        mock_datasette_proc.cmdline.return_value = ["datasette", "test.db"]  # Direct datasette command
+        
+        # Create mock connection object
+        mock_conn = mock.MagicMock()
+        mock_conn.laddr.port = 8001
+        mock_conn.status = "LISTEN"
+        mock_datasette_proc.connections.return_value = [mock_conn]
+        
+        mock_other_proc = mock.MagicMock()
+        mock_other_proc.cmdline.return_value = ["python", "other_script.py"]
+        
+        mock_psutil.process_iter.return_value = [mock_datasette_proc, mock_other_proc]
+        mock_psutil.CONN_LISTEN = "LISTEN"
+        
+        # Call function
+        processes = list_datasette_processes(verbose=True)
+        
+        # Verify only Datasette process is returned
+        assert len(processes) == 1
+        proc_info = processes[0]
+        assert proc_info['pid'] == 12345
+        assert proc_info['name'] == "python"
+        assert proc_info['ports'] == [8001]
+        assert "datasette" in " ".join(proc_info['cmdline']).lower()
+    
+    @mock.patch("apparent.utils.psutil")
+    def test_list_datasette_processes_empty(self, mock_psutil):
+        """Test listing Datasette processes when none are running."""
+        # Setup empty process list
+        mock_psutil.process_iter.return_value = []
+        
+        # Call function
+        processes = list_datasette_processes()
+        
+        # Verify empty list is returned
+        assert processes == []
+    
+    @mock.patch("apparent.utils.psutil")
+    def test_list_datasette_processes_access_denied(self, mock_psutil):
+        """Test listing processes when access is denied to some processes."""
+        # Setup mock process that raises AccessDenied
+        mock_proc = mock.MagicMock()
+        mock_proc.cmdline.return_value = ["datasette", "test.db"]
+        mock_proc.connections.side_effect = Exception("Access denied")  # Simulate AccessDenied
+        mock_proc.pid = 12345
+        mock_proc.name.return_value = "datasette"
+        
+        mock_psutil.process_iter.return_value = [mock_proc]
+        mock_psutil.AccessDenied = Exception
+        mock_psutil.NoSuchProcess = Exception
+        
+        # Call function
+        processes = list_datasette_processes()
+        
+        # Verify process is still listed but with unknown ports
+        assert len(processes) == 1
+        assert processes[0]['ports'] == ['unknown']
diff --git a/uv.lock b/uv.lock
index b66de81..28c00a7 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2,7 +2,8 @@ version = 1
 revision = 2
 requires-python = ">=3.10"
 resolution-markers = [
-    "python_full_version >= '3.12'",
+    "python_full_version >= '3.14'",
+    "python_full_version >= '3.12' and python_full_version < '3.14'",
     "python_full_version == '3.11.*'",
     "python_full_version < '3.11'",
 ]
@@ -41,46 +42,54 @@ wheels = [
 ]
 
 [[package]]
-name = "apparent"
-version = "0.1.0"
+name = "apparently"
+version = "0.1.9"
 source = { editable = "." }
 dependencies = [
     { name = "curvature-filtrations" },
+    { name = "datasette" },
     { name = "matplotlib" },
     { name = "pandas" },
+    { name = "psutil" },
     { name = "python-dotenv" },
+    { name = "requests" },
     { name = "swifter" },
     { name = "tqdm" },
 ]
 
 [package.dev-dependencies]
 dev = [
-    { name = "datasette" },
     { name = "furo" },
     { name = "ipykernel" },
+    { name = "jupyter" },
     { name = "pytest" },
     { name = "pytest-cov" },
+    { name = "seaborn" },
     { name = "sphinx", version = "8.1.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
     { name = "sphinx", version = "8.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
 ]
 
 [package.metadata]
 requires-dist = [
-    { name = "curvature-filtrations", specifier = ">=0.1.0,<0.2" },
-    { name = "matplotlib", specifier = ">=3.9.2,<4" },
-    { name = "pandas", specifier = ">=2.2.3,<3" },
-    { name = "python-dotenv", specifier = ">=1.0.1,<2" },
-    { name = "swifter", specifier = ">=1.4.0,<2" },
-    { name = "tqdm", specifier = ">=4.67.1,<5" },
+    { name = "curvature-filtrations", specifier = ">=0.1.1" },
+    { name = "datasette", specifier = ">=0.65.1" },
+    { name = "matplotlib", specifier = ">=3.10.3" },
+    { name = "pandas", specifier = ">=2.2.3" },
+    { name = "psutil", specifier = ">=7.0.0" },
+    { name = "python-dotenv", specifier = ">=1.0.1" },
+    { name = "requests", specifier = ">=2.32.0" },
+    { name = "swifter", specifier = ">=1.4.0" },
+    { name = "tqdm", specifier = ">=4.67.1" },
 ]
 
 [package.metadata.requires-dev]
 dev = [
-    { name = "datasette", specifier = ">=0.65.1" },
     { name = "furo", specifier = ">=2024.8.6" },
     { name = "ipykernel", specifier = ">=6.29.5" },
+    { name = "jupyter", specifier = ">=1.1.1" },
     { name = "pytest", specifier = ">=8.3.3,<9" },
     { name = "pytest-cov", specifier = ">=6.2.1" },
+    { name = "seaborn", specifier = ">=0.13.2" },
     { name = "sphinx", specifier = ">=8.1.3" },
 ]
 
@@ -93,6 +102,52 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/81/29/5ecc3a15d5a33e31b26c11426c45c501e439cb865d0bff96315d86443b78/appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c", size = 4321, upload-time = "2024-02-06T09:43:09.663Z" },
 ]
 
+[[package]]
+name = "argon2-cffi"
+version = "25.1.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "argon2-cffi-bindings" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/0e/89/ce5af8a7d472a67cc819d5d998aa8c82c5d860608c4db9f46f1162d7dab9/argon2_cffi-25.1.0.tar.gz", hash = "sha256:694ae5cc8a42f4c4e2bf2ca0e64e51e23a040c6a517a85074683d3959e1346c1", size = 45706, upload-time = "2025-06-03T06:55:32.073Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/4f/d3/a8b22fa575b297cd6e3e3b0155c7e25db170edf1c74783d6a31a2490b8d9/argon2_cffi-25.1.0-py3-none-any.whl", hash = "sha256:fdc8b074db390fccb6eb4a3604ae7231f219aa669a2652e0f20e16ba513d5741", size = 14657, upload-time = "2025-06-03T06:55:30.804Z" },
+]
+
+[[package]]
+name = "argon2-cffi-bindings"
+version = "21.2.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cffi" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/b9/e9/184b8ccce6683b0aa2fbb7ba5683ea4b9c5763f1356347f1312c32e3c66e/argon2-cffi-bindings-21.2.0.tar.gz", hash = "sha256:bb89ceffa6c791807d1305ceb77dbfacc5aa499891d2c55661c6459651fc39e3", size = 1779911, upload-time = "2021-12-01T08:52:55.68Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d4/13/838ce2620025e9666aa8f686431f67a29052241692a3dd1ae9d3692a89d3/argon2_cffi_bindings-21.2.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ccb949252cb2ab3a08c02024acb77cfb179492d5701c7cbdbfd776124d4d2367", size = 29658, upload-time = "2021-12-01T09:09:17.016Z" },
+    { url = "https://files.pythonhosted.org/packages/b3/02/f7f7bb6b6af6031edb11037639c697b912e1dea2db94d436e681aea2f495/argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9524464572e12979364b7d600abf96181d3541da11e23ddf565a32e70bd4dc0d", size = 80583, upload-time = "2021-12-01T09:09:19.546Z" },
+    { url = "https://files.pythonhosted.org/packages/ec/f7/378254e6dd7ae6f31fe40c8649eea7d4832a42243acaf0f1fff9083b2bed/argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b746dba803a79238e925d9046a63aa26bf86ab2a2fe74ce6b009a1c3f5c8f2ae", size = 86168, upload-time = "2021-12-01T09:09:21.445Z" },
+    { url = "https://files.pythonhosted.org/packages/74/f6/4a34a37a98311ed73bb80efe422fed95f2ac25a4cacc5ae1d7ae6a144505/argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:58ed19212051f49a523abb1dbe954337dc82d947fb6e5a0da60f7c8471a8476c", size = 82709, upload-time = "2021-12-01T09:09:18.182Z" },
+    { url = "https://files.pythonhosted.org/packages/74/2b/73d767bfdaab25484f7e7901379d5f8793cccbb86c6e0cbc4c1b96f63896/argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:bd46088725ef7f58b5a1ef7ca06647ebaf0eb4baff7d1d0d177c6cc8744abd86", size = 83613, upload-time = "2021-12-01T09:09:22.741Z" },
+    { url = "https://files.pythonhosted.org/packages/4f/fd/37f86deef67ff57c76f137a67181949c2d408077e2e3dd70c6c42912c9bf/argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_i686.whl", hash = "sha256:8cd69c07dd875537a824deec19f978e0f2078fdda07fd5c42ac29668dda5f40f", size = 84583, upload-time = "2021-12-01T09:09:24.177Z" },
+    { url = "https://files.pythonhosted.org/packages/6f/52/5a60085a3dae8fded8327a4f564223029f5f54b0cb0455a31131b5363a01/argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:f1152ac548bd5b8bcecfb0b0371f082037e47128653df2e8ba6e914d384f3c3e", size = 88475, upload-time = "2021-12-01T09:09:26.673Z" },
+    { url = "https://files.pythonhosted.org/packages/8b/95/143cd64feb24a15fa4b189a3e1e7efbaeeb00f39a51e99b26fc62fbacabd/argon2_cffi_bindings-21.2.0-cp36-abi3-win32.whl", hash = "sha256:603ca0aba86b1349b147cab91ae970c63118a0f30444d4bc80355937c950c082", size = 27698, upload-time = "2021-12-01T09:09:27.87Z" },
+    { url = "https://files.pythonhosted.org/packages/37/2c/e34e47c7dee97ba6f01a6203e0383e15b60fb85d78ac9a15cd066f6fe28b/argon2_cffi_bindings-21.2.0-cp36-abi3-win_amd64.whl", hash = "sha256:b2ef1c30440dbbcba7a5dc3e319408b59676e2e039e2ae11a8775ecf482b192f", size = 30817, upload-time = "2021-12-01T09:09:30.267Z" },
+    { url = "https://files.pythonhosted.org/packages/5a/e4/bf8034d25edaa495da3c8a3405627d2e35758e44ff6eaa7948092646fdcc/argon2_cffi_bindings-21.2.0-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:e415e3f62c8d124ee16018e491a009937f8cf7ebf5eb430ffc5de21b900dad93", size = 53104, upload-time = "2021-12-01T09:09:31.335Z" },
+]
+
+[[package]]
+name = "arrow"
+version = "1.3.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "python-dateutil" },
+    { name = "types-python-dateutil" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/2e/00/0f6e8fcdb23ea632c866620cc872729ff43ed91d284c866b515c6342b173/arrow-1.3.0.tar.gz", hash = "sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85", size = 131960, upload-time = "2023-09-30T22:11:18.25Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/f8/ed/e97229a566617f2ae958a6b13e7cc0f585470eac730a73e9e82c32a3cdd2/arrow-1.3.0-py3-none-any.whl", hash = "sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80", size = 66419, upload-time = "2023-09-30T22:11:16.072Z" },
+]
+
 [[package]]
 name = "asgi-csrf"
 version = "0.11"
@@ -127,6 +182,27 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/25/8a/c46dcc25341b5bce5472c718902eb3d38600a903b14fa6aeecef3f21a46f/asttokens-3.0.0-py3-none-any.whl", hash = "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2", size = 26918, upload-time = "2024-11-30T04:30:10.946Z" },
 ]
 
+[[package]]
+name = "async-lru"
+version = "2.0.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "typing-extensions", marker = "python_full_version < '3.11'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/b2/4d/71ec4d3939dc755264f680f6c2b4906423a304c3d18e96853f0a595dfe97/async_lru-2.0.5.tar.gz", hash = "sha256:481d52ccdd27275f42c43a928b4a50c3bfb2d67af4e78b170e3e0bb39c66e5bb", size = 10380, upload-time = "2025-03-16T17:25:36.919Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/03/49/d10027df9fce941cb8184e78a02857af36360d33e1721df81c5ed2179a1a/async_lru-2.0.5-py3-none-any.whl", hash = "sha256:ab95404d8d2605310d345932697371a5f40def0487c03d6d0ad9138de52c9943", size = 6069, upload-time = "2025-03-16T17:25:35.422Z" },
+]
+
+[[package]]
+name = "attrs"
+version = "25.3.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/5a/b0/1367933a8532ee6ff8d63537de4f1177af4bff9f3e829baf7331f595bb24/attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b", size = 812032, upload-time = "2025-03-13T11:10:22.779Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/77/06/bb80f5f86020c4551da315d78b3ab75e8228f89f0162f2c3a819e407941a/attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3", size = 63815, upload-time = "2025-03-13T11:10:21.14Z" },
+]
+
 [[package]]
 name = "babel"
 version = "2.17.0"
@@ -149,6 +225,23 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/50/cd/30110dc0ffcf3b131156077b90e9f60ed75711223f306da4db08eff8403b/beautifulsoup4-4.13.4-py3-none-any.whl", hash = "sha256:9bbbb14bfde9d79f38b8cd5f8c7c85f4b8f2523190ebed90e950a8dea4cb1c4b", size = 187285, upload-time = "2025-04-15T17:05:12.221Z" },
 ]
 
+[[package]]
+name = "bleach"
+version = "6.2.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "webencodings" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/76/9a/0e33f5054c54d349ea62c277191c020c2d6ef1d65ab2cb1993f91ec846d1/bleach-6.2.0.tar.gz", hash = "sha256:123e894118b8a599fd80d3ec1a6d4cc7ce4e5882b1317a7e1ba69b56e95f991f", size = 203083, upload-time = "2024-10-29T18:30:40.477Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/fc/55/96142937f66150805c25c4d0f31ee4132fd33497753400734f9dfdcbdc66/bleach-6.2.0-py3-none-any.whl", hash = "sha256:117d9c6097a7c3d22fd578fcd8d35ff1e125df6736f554da4e432fdd63f31e5e", size = 163406, upload-time = "2024-10-29T18:30:38.186Z" },
+]
+
+[package.optional-dependencies]
+css = [
+    { name = "tinycss2" },
+]
+
 [[package]]
 name = "certifi"
 version = "2025.6.15"
@@ -584,6 +677,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/4e/8c/f3147f5c4b73e7550fe5f9352eaa956ae838d5c51eb58e7a25b9f3e2643b/decorator-5.2.1-py3-none-any.whl", hash = "sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a", size = 9190, upload-time = "2025-02-24T04:41:32.565Z" },
 ]
 
+[[package]]
+name = "defusedxml"
+version = "0.7.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/0f/d5/c66da9b79e5bdb124974bfe172b4daf3c984ebd9c2a06e2b8a4dc7331c72/defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69", size = 75520, upload-time = "2021-03-08T10:59:26.269Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/07/6c/aa3f2f849e01cb6a001cd8554a88d4c77c5c1a31c95bdf1cf9301e6d9ef4/defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61", size = 25604, upload-time = "2021-03-08T10:59:24.45Z" },
+]
+
 [[package]]
 name = "docutils"
 version = "0.21.2"
@@ -614,6 +716,15 @@ wheels = [
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 ]
 
+[[package]]
+name = "fastjsonschema"
+version = "2.21.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/8b/50/4b769ce1ac4071a1ef6d86b1a3fb56cdc3a37615e8c5519e1af96cdac366/fastjsonschema-2.21.1.tar.gz", hash = "sha256:794d4f0a58f848961ba16af7b9c85a3e88cd360df008c59aac6fc5ae9323b5d4", size = 373939, upload-time = "2024-12-02T10:55:15.133Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/90/2b/0817a2b257fe88725c25589d89aec060581aabf668707a8d03b2e9e0cb2a/fastjsonschema-2.21.1-py3-none-any.whl", hash = "sha256:c9e5b7e908310918cf494a434eeb31384dd84a98b57a30bcb1f535015b554667", size = 23924, upload-time = "2024-12-02T10:55:07.599Z" },
+]
+
 [[package]]
 name = "flexcache"
 version = "0.3"
@@ -679,6 +790,15 @@ wheels = [
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 ]
 
+[[package]]
+name = "fqdn"
+version = "1.5.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/30/3e/a80a8c077fd798951169626cde3e239adeba7dab75deb3555716415bd9b0/fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f", size = 6015, upload-time = "2021-03-11T07:16:29.08Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/cf/58/8acf1b3e91c58313ce5cb67df61001fc9dcd21be4fadb76c1a2d540e09ed/fqdn-1.5.1-py3-none-any.whl", hash = "sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014", size = 9121, upload-time = "2021-03-11T07:16:28.351Z" },
+]
+
 [[package]]
 name = "fsspec"
 version = "2025.5.1"
@@ -867,7 +987,8 @@ name = "ipython"
 version = "9.4.0"
 source = { registry = "https://pypi.org/simple" }
 resolution-markers = [
-    "python_full_version >= '3.12'",
+    "python_full_version >= '3.14'",
+    "python_full_version >= '3.12' and python_full_version < '3.14'",
     "python_full_version == '3.11.*'",
 ]
 dependencies = [
@@ -900,6 +1021,35 @@ wheels = [
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 ]
 
+[[package]]
+name = "ipywidgets"
+version = "8.1.7"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
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