fix(python-sdk): Remove long framework intros and replace by a simple…

… line with a link to the website of the particular framework

docs/frameworks.md

@@ -4,15 +4,10 @@ The Numerous SDK supports a number of popular Python web frameworks.
 
 The `frameworks` package provides framework-specific implementations of Numerous features. Currently, the main framework-specific function is `get_session()`, which handles user authentication by accessing session information through cookies in a way that's compatible with each framework's request handling.
 
-## Dash
-
-Plotly Dash lets you build interactive data dashboards using Python. Common uses include:
-- Creating charts and graphs that users can filter and explore
-- Building business dashboards to monitor KPIs and metrics
-- Sharing data analysis results with non-technical team members
-- Developing internal tools for data exploration
+You need to add the frameworks to your project's requirements directly, since they are not part of or installed with the Numerous SDK.
 
-No JavaScript or HTML knowledge is needed - everything can be built in Python. Dash applications can be easily shared via web browsers, making them perfect for teams that need to collaborate around data.
+## Dash
+[Dash](https://dash.plotly.com/) is supported by the `numerous.frameworks.dash` module.
 
 ### ::: numerous.frameworks.dash.get_session
     options:
@@ -21,17 +16,7 @@ No JavaScript or HTML knowledge is needed - everything can be built in Python. D
 ###
 ## FastAPI
 
-FastAPI is a modern web framework for building APIs with Python. It's known for being:
-- Fast to code: Write APIs with less code and fewer bugs
-- Easy to use: Clear error messages and built-in documentation
-- Production-ready: Used by companies of all sizes
-- Automatic API documentation: Interactive docs are created automatically
-
-Common uses include:
-- Building backend services for web and mobile apps
-- Creating microservices that need to handle many requests
-- Developing data APIs that connect to databases
-- Setting up internal tools and services
+[FastAPI](https://fastapi.tiangolo.com/) is supported by the `numerous.frameworks.fastapi` module.
 
 ### ::: numerous.frameworks.fastapi.get_session
     options:
@@ -40,17 +25,7 @@ Common uses include:
 ###
 ## Flask
 
-Flask is a lightweight and flexible web framework that's perfect for both small projects and large applications. Key features include:
-- Simple to learn and use: Great for beginners
-- Highly customizable: Add only what you need
-- Large ecosystem of extensions
-- Works well for both websites and APIs
-
-Common uses include:
-- Building web applications of any size
-- Creating REST APIs
-- Prototyping new ideas quickly
-- Adding web interfaces to existing Python projects
+[Flask](https://flask.palletsprojects.com/) is supported by the `numerous.frameworks.flask` module.
 
 ### ::: numerous.frameworks.flask.get_session
     options:
@@ -59,17 +34,7 @@ Common uses include:
 ###
 ## Marimo
 
-Marimo is a modern Python notebook that turns your data analysis into interactive web apps. Features include:
-- Interactive elements that update in real-time
-- Clean, reproducible code execution
-- Easy sharing of notebooks as web apps
-- Better version control than traditional notebooks
-
-Perfect for:
-- Data analysis and exploration
-- Creating interactive reports
-- Teaching and learning Python
-- Sharing research findings
+[Marimo](https://marimo.io/) is supported by the `numerous.frameworks.marimo` module.
 
 ### ::: numerous.frameworks.marimo.get_session
     options:
@@ -78,17 +43,7 @@ Perfect for:
 ###
 ## Panel
 
-Panel is a powerful framework for creating custom data dashboards and apps. Highlights include:
-- Works with multiple plotting libraries (Plotly, Bokeh, Matplotlib)
-- Easy to convert existing visualizations into interactive dashboards
-- Supports both simple and complex layouts
-- Can be used with Jupyter notebooks or as standalone apps
-
-Ideal for:
-- Data scientists who need to share interactive visualizations
-- Creating complex dashboards with multiple data sources
-- Building data-driven web applications
-- Turning analysis notebooks into deployed applications
+[Panel](https://panel.holoviz.org/) is supported by the `numerous.frameworks.panel` module.
 
 ### ::: numerous.frameworks.panel.get_session
     options:
@@ -97,17 +52,7 @@ Ideal for:
 ###
 ## Streamlit
 
-Streamlit turns data scripts into shareable web apps in minutes. Key benefits include:
-- Extremely easy to learn and use
-- Fast development of data apps
-- Built-in widgets for interaction
-- Simple deployment process
-
-Popular uses include:
-- Creating data science demos
-- Building machine learning model interfaces
-- Sharing data insights with stakeholders
-- Rapid prototyping of data applications
+[Streamlit](https://streamlit.io/) is supported by the `numerous.frameworks.streamlit` module.
 
 ### ::: numerous.frameworks.streamlit.get_session
     options: