Python

Build web applications with Anvil using Python and a drag-and-drop editor.

ML_Forgex trains, evaluates, and predicts with machine learning models on cleaned datasets.

Build APIs with FastAPI, a Python framework described as easy to learn and ready for production.

Matplotlib provides Python tools for creating plots and visualizations from data.

PyQtGraph provides Python graphics, data visualization, and GUI tools for scientific and engineering applications.

Ultralytics YOLOv5 supports object detection, instance segmentation, classification, training, and export in PyTorch.

Lyrics-In-Terminal displays lyrics for the current song in a terminal and supports several MPRIS-compatible players.

toot provides command-line and text-interface tools for interacting with Mastodon instances.

CSS2RSS creates RSS feeds for websites using CSS selectors as a post-processing script for RSS Guard.

dodo provides a graphical email client built on notmuch, with its project describing the client as hackable.

This repository contains Manim-generated scenes used in 3Blue1Brown explanatory math videos.

Shap-E generates 3D objects conditioned on text or images; this repository contains its code and model release.

H2O AutoML automatically generates features and selections, with a no code AutoML offering.

Browse and edit biological pathway diagrams and related knowledge through the WikiPathways open science platform.

Data Science IPython Notebooks collects notebooks about data science, including TensorFlow deep learning.

Explore tabular data with VisiData, an interactive command-line multitool that combines spreadsheet-like clarity with terminal and Python workflows.

Spektral provides a Python framework for creating graph neural networks with Keras and TensorFlow.

AutoGen provides a programming framework for developing agentic AI systems.

Joystick Gremlin configures and manages joystick devices, helping users map inputs for games and applications.

mempalace offers an open-source memory system designed for use with AI agents.

Use LLM, a command-line utility and Python library, to interact with large language models.

Vaex provides out-of-core DataFrames for Python to explore and visualize large tabular datasets, with support for machine learning workflows.

This repository provides an open source framework for self evolving language agents.

BabyCommandAGI explores combining command-line interfaces with language model agents for task execution.