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Awesome List
The definitive list that answers "I want to do X in Python, which tool should I use?"
GitHub stars and default-branch commits for vinta/awesome-python.
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All Algorithms implemented in Python
Python tool for converting files and office documents to Markdown.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Robust Speech Recognition via Large-Scale Weak Supervision
Tensors and Dynamic neural networks in Python with strong GPU acceleration
FastAPI framework, high performance, easy to learn, fast to code, ready for production
TradingAgents: Multi-Agents LLM Financial Trading Framework
A high-throughput and memory-efficient inference and serving engine for LLMs
An extremely fast Python package and project manager, written in Rust.
The Web framework for perfectionists with deadlines.
Hunt down social media accounts by username across social networks
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.
The Python programming language
The Python micro framework for building web applications.
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
scikit-learn: machine learning in Python
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
Deep Learning for humans
Get your documents ready for gen AI
Scrapy, a fast high-level web crawling & scraping framework for Python.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
A programming framework for agentic AI
Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Open-Source Frontier Voice AI
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
An extremely fast Python linter and code formatter, written in Rust.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Streamlit — A faster way to build and share data apps.
C++ based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
A collection of design patterns/idioms in Python
The uncompromising Python code formatter
Build resilient agents.
Extremely fast Query Engine for DataFrames, written in Rust
General-purpose AI designed for knowledge workers — creators, strategists, and operators — and individuals seeking AI systems they can truly control to help them get work done, with full flexibility to extend and deploy anywhere (VPC, on-prem, or cloud).
DSPy: The framework for programming—not prompting—language models
A toolkit for developing and comparing reinforcement learning algorithms.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
A browser automation framework and ecosystem.
Python packaging and dependency management made easy
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
💫 Industrial-strength Natural Language Processing (NLP) in Python
The fundamental package for scientific computing with Python.
:zap: A Fast, Extensible Progress Bar for Python and CLI
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
SGLang is a high-performance serving framework for large language models and multimodal models.