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docs: reorganize AI, Data Visualization, GUI, and Scientific Computing into subcategories
Group flat lists into labeled subcategories to improve scannability and navigation. Also remove entries that don't meet curation standards and fix the toga repo URL. Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Vinta Chen
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README.md
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@@ -100,24 +100,18 @@ _Libraries for administrative interfaces._
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_Libraries for building AI applications, LLM integrations, and autonomous agents._
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- [agno](https://github.com/agno-agi/agno) - Open-source Python library for building AI agents and agentic systems.
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- [autogen](https://github.com/microsoft/autogen) - A programming framework for building agentic AI applications.
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- [autoresearch](https://github.com/karpathy/autoresearch) - AI agents running autonomous research experiments on single-GPU LLM training.
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- [crewai](https://github.com/crewAIInc/crewAI) - A framework for orchestrating role-playing autonomous AI agents for collaborative task solving.
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- [dspy](https://github.com/stanfordnlp/dspy) - A framework for programming, not prompting, language models.
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- [instructor](https://github.com/567-labs/instructor) - A library for extracting structured data from LLMs, powered by Pydantic.
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- [langchain](https://github.com/langchain-ai/langchain) - Building applications with LLMs through composability.
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- [llama_index](https://github.com/run-llama/llama_index) - A data framework for your LLM application.
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- [praisonai](https://github.com/MervinPraison/PraisonAI) - Production-ready Multi-AI Agents framework with self-reflection, 100+ LLM support, MCP integration, and agentic workflows.
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- [pydantic-ai](https://github.com/pydantic/pydantic-ai) - A Python agent framework for building generative AI applications with structured schemas.
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- [ragflow](https://github.com/infiniflow/ragflow) - An open-source RAG engine for document understanding and question answering with LLMs.
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- [ccb](https://github.com/bfly123/claude_code_bridge) - A CLI tool to orchestrate multiple LLMs (Claude, Gemini, etc.) in Tmux panes with cross-agent interaction.
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- [code-graph-rag](https://github.com/vitali87/code-graph-rag) - Builds knowledge graphs from multi-language codebases using Tree-sitter and Memgraph, enabling natural language querying of code structure.
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- [diffusers](https://github.com/huggingface/diffusers) - A library that provides pretrained diffusion models for generating and editing images, audio, and video.
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- [rasa](https://github.com/RasaHQ/rasa) - An open-source machine learning framework for automated text and voice-based conversations.
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- [smolagents](https://github.com/huggingface/smolagents) - A lightweight library for building agents that reason and act through code.
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- [transformers](https://github.com/huggingface/transformers) - A framework that lets you easily use pretrained transformer models for NLP, vision, and audio tasks.
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- [vllm](https://github.com/vllm-project/vllm) - A high-throughput and memory-efficient inference and serving engine for LLMs.
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- Frameworks
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- [autogen](https://github.com/microsoft/autogen) - A programming framework for building agentic AI applications.
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- [crewai](https://github.com/crewAIInc/crewAI) - A framework for orchestrating role-playing autonomous AI agents for collaborative task solving.
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- [dspy](https://github.com/stanfordnlp/dspy) - A framework for programming, not prompting, language models.
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- [instructor](https://github.com/567-labs/instructor) - A library for extracting structured data from LLMs, powered by Pydantic.
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- [langchain](https://github.com/langchain-ai/langchain) - Building applications with LLMs through composability.
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- [llama_index](https://github.com/run-llama/llama_index) - A data framework for your LLM application.
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- [pydantic-ai](https://github.com/pydantic/pydantic-ai) - A Python agent framework for building generative AI applications with structured schemas.
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- Pretrained Models and Inference
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- [diffusers](https://github.com/huggingface/diffusers) - A library that provides pretrained diffusion models for generating and editing images, audio, and video.
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- [transformers](https://github.com/huggingface/transformers) - A framework that lets you easily use pretrained transformer models for NLP, vision, and audio tasks.
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- [vllm](https://github.com/vllm-project/vllm) - A high-throughput and memory-efficient inference and serving engine for LLMs.
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## Algorithms and Design Patterns
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@@ -368,21 +362,24 @@ _Libraries for validating data. Used for forms in many cases._
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_Libraries for visualizing data. Also see [awesome-javascript](https://github.com/sorrycc/awesome-javascript#data-visualization)._
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- [altair](https://github.com/altair-viz/altair) - Declarative statistical visualization library for Python.
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- [bokeh](https://github.com/bokeh/bokeh) - Interactive Web Plotting for Python.
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- [bqplot](https://github.com/bloomberg/bqplot) - Interactive Plotting Library for the Jupyter Notebook.
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- [cartopy](https://github.com/SciTools/cartopy) - A cartographic python library with matplotlib support.
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- [gradio](https://github.com/gradio-app/gradio) - Build and share machine learning apps, all in Python.
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- [matplotlib](https://github.com/matplotlib/matplotlib) - A Python 2D plotting library.
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- [plotly](https://github.com/plotly/plotly.py) - Interactive graphing library for Python.
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- [plotnine](https://github.com/has2k1/plotnine) - A grammar of graphics for Python based on ggplot2.
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- [pygal](https://github.com/Kozea/pygal) - A Python SVG Charts Creator.
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- [pygraphviz](https://github.com/pygraphviz/pygraphviz/) - Python interface to [Graphviz](http://www.graphviz.org/).
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- [pyqtgraph](https://github.com/pyqtgraph/pyqtgraph) - Interactive and realtime 2D/3D/Image plotting and science/engineering widgets.
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- [seaborn](https://github.com/mwaskom/seaborn) - Statistical data visualization using Matplotlib.
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- [streamlit](https://github.com/streamlit/streamlit) - A framework which lets you build dashboards, generate reports, or create chat apps in minutes.
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- [ultraplot](https://github.com/ultraplot/UltraPlot) - Matplotlib wrapper for publication-ready scientific figures with minimal code. Includes advanced subplot management, panel layouts, and batteries-included geoscience plotting.
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- [vispy](https://github.com/vispy/vispy) - High-performance scientific visualization based on OpenGL.
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- Plotting
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- [altair](https://github.com/altair-viz/altair) - Declarative statistical visualization library for Python.
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- [bokeh](https://github.com/bokeh/bokeh) - Interactive Web Plotting for Python.
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- [bqplot](https://github.com/bloomberg/bqplot) - Interactive Plotting Library for the Jupyter Notebook.
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- [matplotlib](https://github.com/matplotlib/matplotlib) - A Python 2D plotting library.
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- [plotly](https://github.com/plotly/plotly.py) - Interactive graphing library for Python.
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- [plotnine](https://github.com/has2k1/plotnine) - A grammar of graphics for Python based on ggplot2.
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- [pygal](https://github.com/Kozea/pygal) - A Python SVG Charts Creator.
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- [pyqtgraph](https://github.com/pyqtgraph/pyqtgraph) - Interactive and realtime 2D/3D/Image plotting and science/engineering widgets.
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- [seaborn](https://github.com/mwaskom/seaborn) - Statistical data visualization using Matplotlib.
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- [ultraplot](https://github.com/ultraplot/UltraPlot) - Matplotlib wrapper for publication-ready scientific figures with minimal code. Includes advanced subplot management, panel layouts, and batteries-included geoscience plotting.
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- [vispy](https://github.com/vispy/vispy) - High-performance scientific visualization based on OpenGL.
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- Specialized
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- [cartopy](https://github.com/SciTools/cartopy) - A cartographic python library with matplotlib support.
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- [pygraphviz](https://github.com/pygraphviz/pygraphviz/) - Python interface to [Graphviz](http://www.graphviz.org/).
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- Dashboards and Apps
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- [gradio](https://github.com/gradio-app/gradio) - Build and share machine learning apps, all in Python.
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- [streamlit](https://github.com/streamlit/streamlit) - A framework which lets you build dashboards, generate reports, or create chat apps in minutes.
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## Database
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@@ -584,24 +581,27 @@ _Functional Programming with Python._
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_Libraries for working with graphical user interface applications._
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- [curses](https://docs.python.org/3/library/curses.html) - Built-in wrapper for [ncurses](http://www.gnu.org/software/ncurses/) used to create terminal GUI applications.
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- [customtkinter](https://github.com/tomschimansky/customtkinter) - A modern and customizable python UI-library based on Tkinter.
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- [dearpygui](https://github.com/RaylockLLC/DearPyGui/) - A Simple GPU accelerated Python GUI framework
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- [enaml](https://github.com/nucleic/enaml) - Creating beautiful user-interfaces with Declarative Syntax like QML.
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- [flet](https://github.com/flet-dev/flet) - Cross-platform GUI framework for building modern apps in pure Python.
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- [flexx](https://github.com/zoofIO/flexx) - Flexx is a pure Python toolkit for creating GUI's, that uses web technology for its rendering.
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- [gooey](https://github.com/chriskiehl/Gooey) - Turn command line programs into a full GUI application with one line.
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- [kivy](https://github.com/kivy/kivy) - A library for creating NUI applications, running on Windows, Linux, Mac OS X, Android and iOS.
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- [nicegui](https://github.com/zauberzeug/nicegui) - An easy-to-use, Python-based UI framework, which shows up in your web browser.
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- [pyglet](https://github.com/pyglet/pyglet) - A cross-platform windowing and multimedia library for Python.
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- [pygobject](https://github.com/GNOME/pygobject) - Python Bindings for GLib/GObject/GIO/GTK+ (GTK+3).
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- [PyQt](https://www.riverbankcomputing.com/static/Docs/PyQt6/) - Python bindings for the [Qt](https://www.qt.io/) cross-platform application and UI framework.
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- [pyside](https://github.com/pyside/pyside-setup) - Qt for Python offers the official Python bindings for [Qt](https://www.qt.io/), this is same as PyQt but it's the official binding with different licensing.
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- [pywebview](https://github.com/r0x0r/pywebview/) - A lightweight cross-platform native wrapper around a webview component.
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- [tkinter](https://docs.python.org/3/library/tkinter.html) - (Python standard library) The standard Python interface to the Tcl/Tk GUI toolkit.
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- [toga](https://github.com/pybee/toga) - A Python native, OS native GUI toolkit.
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- [urwid](https://github.com/urwid/urwid) - A library for creating terminal GUI applications with strong support for widgets, events, rich colors, etc.
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- [wxPython](https://github.com/wxWidgets/Phoenix) - A blending of the wxWidgets C++ class library with the Python.
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- Desktop
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- [customtkinter](https://github.com/tomschimansky/customtkinter) - A modern and customizable python UI-library based on Tkinter.
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- [dearpygui](https://github.com/RaylockLLC/DearPyGui/) - A Simple GPU accelerated Python GUI framework
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- [enaml](https://github.com/nucleic/enaml) - Creating beautiful user-interfaces with Declarative Syntax like QML.
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- [kivy](https://github.com/kivy/kivy) - A library for creating NUI applications, running on Windows, Linux, Mac OS X, Android and iOS.
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- [pyglet](https://github.com/pyglet/pyglet) - A cross-platform windowing and multimedia library for Python.
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- [pygobject](https://github.com/GNOME/pygobject) - Python Bindings for GLib/GObject/GIO/GTK+ (GTK+3).
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- [PyQt](https://www.riverbankcomputing.com/static/Docs/PyQt6/) - Python bindings for the [Qt](https://www.qt.io/) cross-platform application and UI framework.
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- [pyside](https://github.com/pyside/pyside-setup) - Qt for Python offers the official Python bindings for [Qt](https://www.qt.io/), this is same as PyQt but it's the official binding with different licensing.
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- [tkinter](https://docs.python.org/3/library/tkinter.html) - (Python standard library) The standard Python interface to the Tcl/Tk GUI toolkit.
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- [toga](https://github.com/beeware/toga) - A Python native, OS native GUI toolkit.
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- [wxPython](https://github.com/wxWidgets/Phoenix) - A blending of the wxWidgets C++ class library with the Python.
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- Web-based
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- [flet](https://github.com/flet-dev/flet) - Cross-platform GUI framework for building modern apps in pure Python.
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- [nicegui](https://github.com/zauberzeug/nicegui) - An easy-to-use, Python-based UI framework, which shows up in your web browser.
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- [pywebview](https://github.com/r0x0r/pywebview/) - A lightweight cross-platform native wrapper around a webview component.
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- Terminal
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- [curses](https://docs.python.org/3/library/curses.html) - Built-in wrapper for [ncurses](http://www.gnu.org/software/ncurses/) used to create terminal GUI applications.
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- [urwid](https://github.com/urwid/urwid) - A library for creating terminal GUI applications with strong support for widgets, events, rich colors, etc.
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- Wrappers
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- [gooey](https://github.com/chriskiehl/Gooey) - Turn command line programs into a full GUI application with one line.
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## Game Development
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@@ -885,28 +885,31 @@ _RPC-compatible servers._
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_Libraries for scientific computing. Also see [Python-for-Scientists](https://github.com/TomNicholas/Python-for-Scientists)._
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- [astropy](https://github.com/astropy/astropy) - A community Python library for Astronomy.
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- [bcbb](https://github.com/chapmanb/bcbb) - Collection of useful code related to biological analysis.
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- [biopython](https://github.com/biopython/biopython) - Biopython is a set of freely available tools for biological computation.
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- [cclib](https://github.com/cclib/cclib) - A library for parsing and interpreting the results of computational chemistry packages.
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- [colour](https://github.com/colour-science/colour) - Implementing a comprehensive number of colour theory transformations and algorithms.
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- [manim](https://github.com/ManimCommunity/manim) - An animation engine for explanatory math videos.
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- [networkx](https://github.com/networkx/networkx) - A high-productivity software for complex networks.
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- [numba](https://github.com/numba/numba) - Python JIT compiler to LLVM aimed at scientific Python.
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- [nipy](https://github.com/nipy/nipy) - A collection of neuroimaging toolkits.
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- [numpy](https://github.com/numpy/numpy) - A fundamental package for scientific computing with Python.
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- [obspy](https://github.com/obspy/obspy) - A Python toolbox for seismology.
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- [openbabel](https://github.com/openbabel/openbabel) - A chemical toolbox designed to speak the many languages of chemical data.
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- [pathsim](https://github.com/pathsim/pathsim) - A block-based system modeling and simulation framework with a browser-based visual editor.
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- [pydy](https://github.com/pydy/pydy) - Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion.
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- [pymc](https://github.com/pymc-devs/pymc3) - Markov Chain Monte Carlo sampling toolkit.
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- [PythonRobotics](https://github.com/AtsushiSakai/PythonRobotics) - This is a compilation of various robotics algorithms with visualizations.
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- [rdkit](https://github.com/rdkit/rdkit) - Cheminformatics and Machine Learning Software.
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- [scipy](https://github.com/scipy/scipy) - A Python-based ecosystem of open-source software for mathematics, science, and engineering.
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- [shapely](https://github.com/shapely/shapely) - Manipulation and analysis of geometric objects in the Cartesian plane.
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- [simpy](https://gitlab.com/team-simpy/simpy) - A process-based discrete-event simulation framework.
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- [statsmodels](https://github.com/statsmodels/statsmodels) - Statistical modeling and econometrics in Python.
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- [sympy](https://github.com/sympy/sympy) - A Python library for symbolic mathematics.
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- Core
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- [numba](https://github.com/numba/numba) - Python JIT compiler to LLVM aimed at scientific Python.
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- [numpy](https://github.com/numpy/numpy) - A fundamental package for scientific computing with Python.
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- [scipy](https://github.com/scipy/scipy) - A Python-based ecosystem of open-source software for mathematics, science, and engineering.
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- [statsmodels](https://github.com/statsmodels/statsmodels) - Statistical modeling and econometrics in Python.
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- [sympy](https://github.com/sympy/sympy) - A Python library for symbolic mathematics.
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- Biology and Chemistry
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- [biopython](https://github.com/biopython/biopython) - Biopython is a set of freely available tools for biological computation.
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- [cclib](https://github.com/cclib/cclib) - A library for parsing and interpreting the results of computational chemistry packages.
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- [openbabel](https://github.com/openbabel/openbabel) - A chemical toolbox designed to speak the many languages of chemical data.
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- [rdkit](https://github.com/rdkit/rdkit) - Cheminformatics and Machine Learning Software.
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- Physics and Engineering
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- [astropy](https://github.com/astropy/astropy) - A community Python library for Astronomy.
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- [obspy](https://github.com/obspy/obspy) - A Python toolbox for seismology.
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- [pydy](https://github.com/pydy/pydy) - Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion.
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- [PythonRobotics](https://github.com/AtsushiSakai/PythonRobotics) - This is a compilation of various robotics algorithms with visualizations.
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- Simulation and Modeling
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- [pathsim](https://github.com/pathsim/pathsim) - A block-based system modeling and simulation framework with a browser-based visual editor.
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- [pymc](https://github.com/pymc-devs/pymc3) - Markov Chain Monte Carlo sampling toolkit.
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- [simpy](https://gitlab.com/team-simpy/simpy) - A process-based discrete-event simulation framework.
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- Other
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- [colour](https://github.com/colour-science/colour) - Implementing a comprehensive number of colour theory transformations and algorithms.
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- [manim](https://github.com/ManimCommunity/manim) - An animation engine for explanatory math videos.
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- [networkx](https://github.com/networkx/networkx) - A high-productivity software for complex networks.
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- [shapely](https://github.com/shapely/shapely) - Manipulation and analysis of geometric objects in the Cartesian plane.
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## Search
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