scikit-learn
scikit-learn developers · Mathematical & statistical computing
BSD-licensed Python machine-learning library for classification, regression, clustering, dimensionality reduction, preprocessing and model selection on NumPy and SciPy
89 tools
scikit-learn developers · Mathematical & statistical computing
BSD-licensed Python machine-learning library for classification, regression, clustering, dimensionality reduction, preprocessing and model selection on NumPy and SciPy
SciPy developers (NumFOCUS) · Mathematical & statistical computing
Core open-source Python library for scientific computing on NumPy arrays: optimization, integration, interpolation, linear algebra, sparse matrices, statistics, signal processing
Scrapy developers (maintained with Zyte) · Data collection & crawling
Mature open-source Python framework for writing crawlers (spiders) that fetch pages asynchronously, extract structured items and export them through pipelines
Hugging Face · Embeddings, reranking & retrieval
Python library for computing and training embedding, cross-encoder reranker, sparse and multi-vector retrieval models, maintained by Hugging Face with thousands of pretrained models on the Hub
Sphinx team · Documentation tooling
Python documentation generator using reStructuredText or MyST Markdown with cross-referencing, API autodoc and output to HTML, PDF via LaTeX, ePub and man pages
statsmodels developers (NumFOCUS) · Econometrics & causal inference
Python library for estimating statistical and econometric models with R-style formulas, rich result summaries and tests: OLS, GLM, discrete choice, ARIMA, state space, VAR and more
SymPy Development Team · Mathematical & statistical computing
Pure-Python computer algebra system for symbolic algebra, calculus, equation solving, matrices, physics modules, code generation and LaTeX output
Hugging Face · Training & fine-tuning
Hugging Face's model-definition library for text, vision, audio, video and multimodal models, with Pipeline, Trainer and generate APIs used as the reference by training and inference engines
Unsloth AI · Training & fine-tuning
Open-source framework for fine-tuning and running LLMs with reduced memory, covering LoRA, QLoRA, full fine-tuning and RL, GGUF export, Dynamic quantizations and a local Studio/Desktop UI
Astral · Programming languages & runtimes
Rust-based Python package and project manager from Astral that replaces pip, venv, pip-tools and pyenv with one command-line tool
Oleg Polakow · Financial analysis & investing
Python library for vectorized backtesting and portfolio analysis built on pandas, NumPy and Numba, with a commercial PRO edition
Vega-Altair developers (Vega project) · Data visualization
Declarative Python visualization library that compiles concise chart specifications to Vega-Lite JSON for interactive, grammar-of-graphics plots
vLLM project (originated at UC Berkeley Sky Computing Lab) · Local LLM inference & serving
High-throughput LLM inference and serving engine with PagedAttention, continuous batching, quantization and an OpenAI-compatible server for GPU and accelerator clusters
CoreWeave · Training & fine-tuning
ML experiment tracking, sweeps, artifacts and model registry plus Weave for LLM tracing and evaluation, now sold by CoreWeave within its Forge platform with a free academic tier
OpenAI · Voice, vision & multimodal AI
OpenAI's open-source multilingual speech recognition model family with MIT-licensed code and weights, a Python package and CLI for transcription, translation and language identification
Ran Aroussi and contributors · Market & fundamentals data
Open-source Python library that downloads price history, fundamentals, options chains and fund data from Yahoo Finance's unofficial endpoints for research and education
Stefan Jansen (ML4Trading) · Financial analysis & investing
Community-maintained fork of Quantopian's Zipline, an event-driven Python backtester with data bundles and the Pipeline API
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