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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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The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
C++ based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
SGLang is a high-performance serving framework for large language models and multimodal models.
Search infrastructure for AI
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
Software to automate the management and configuration of infrastructure and applications at scale.
Polyglot document intelligence with a Rust core: extract text, metadata, images, tables, and structured data from 106 formats across 140 file extensions, plus code intelligence for 371 languages. Fifteen bindings, with CLI, REST API, and MCP server.
A polyglot document intelligence framework with a Rust core. Extract text, metadata, images, and structured information from PDFs, Office documents, images, and 97+ formats. Available for Rust, Python, Ruby, Java, Go, PHP, Elixir, C#, R, C, TypeScript (Node/Bun/Wasm/Deno)- or use via CLI, REST API, or MCP server.
cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.
Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
The fastest PDF library for Python and Rust. Text extraction, image extraction, markdown conversion, PDF creation & editing. 0.8ms mean, 5× faster than industry leaders, 100% pass rate on 3,830 PDFs. MIT/Apache-2.0.
Add logfmt structured logging using the stdlib logging module and without changing a single log call.