A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Details on how to get Binance public data
Home Assistant Presence Simulation
Download live and historical data for Indian stock market
This is Meta's fork of the CPython runtime. The name "cinder" here is historical, see https://github.com/facebookincubator/cinderx for the Python extension / JIT compiler.
A library of sklearn compatible categorical variable encoders
Patch bundle registry for ReVanced, Morphe, and Reseam, with searchable patches, app compatibility, historical releases, prereleases, and changelogs retrievable through a REST and GraphQL API plus a user friendly frontend.
Access and analyze historical weather and climate data with Python.
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Redshift-aware terminal, categorical, and sequential color palettes
A professional Python-based tool for analyzing and visualizing historical global temperature trends and climate anomalies.
[Public preview] An advanced AI Benchmark for math, produced by mathmo at St John's College, Cambridge.
During the July 2024 uprising, fake and manipulated images obscured the truth, making it difficult to verify evidence or track justice. Our AI powered platform authenticates images, preserves credible evidence & transparently tracks case progress, helping protect historical truth during crises and beyond.
Automated data preparation for machine learning. Load a dataset, clean, transform, encode, scale and split it, explore it with built-in analysis, and export model-ready data with a full report. Built with Python and Streamlit.
Kalshi trading bot for prediction markets β browse event contracts and watch the order book in real time, run market making and momentum/reversion strategies with paper trading, risk limits and position sizing. Educational toolkit β not financial advice. Unofficial community project, not affiliated with Kalshi.
A pure-Python system that automatically discovers, verifies, and applies relevant historical requirements for coding agents β no embeddings, no vector database, no LLM calls. Companion code for the Towards Data Science article on intent continuity.
εΊδΊ LLM ηη½ηζΌζ΄ζζ Agentγεζ‘ζζθ·―εΎοΌε―εεΌγεΏ«ιζ«ζ Sink εζΊ―γεε²ζΌζ΄η»θΏγζ ηΊ¦ζοΌ+ Docker ιΆεΊ / ε±ι¨ harness / ιζιͺθ―οΌζ―ζδΊθη½ε€η°δΈζ»ε»ιΎδΈ²θγ LLM-based white-box vuln mining agent. Four paths (heuristic, fast-scan sink backtrace, historical bypass, unconstrained) + Docker lab / harness / static verify; Internet retest and attack chains.