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47,133 repositories indexed
1,417–1,440 of 1,472 · Most stars
rath is an apollo-like graphql client that supports links, multipart uploads, websocket subscriptions with sync and async interface
Aggregates and enhances carpooling-offers and publishes them as GTFS(-RT)
A Python library built on pandas and geopandas for linearly referenced data management, engineering, and analysis using the DataFrame accessor pattern (.lr).
Unit test your 🐍 smart contracts
🎲 Dotflow turns an idea into flow! — Lightweight Python library for execution pipelines
LDAP authentication policy for Pyramid
Manipulate and extract envfiles in json format.
micropython esp32 IR Transceiver
Blazingly fast data comparison tool for Python, powered by Rust. Compare massive CSV/Parquet datasets instantly.
Open BTC 5-minute prediction market sandbox for AI agents — register with one API call, get 1,000 test credits, and place a live order
Decentralized agent memory for the Lightning economy. Nostr identity, L402 payments, MCP server.
Financial Market Intelligence MCP Server — stock quotes, technical analysis, crypto data, and portfolio insights for AI agents
Hackathon registration server.
Fetch and normalize parameterized URLs from the Wayback CDX API (OSINT, inspired by ParamSpider).
Algorand ARC-56 to MCP server converter
Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence
Teaches students Robot programming in python by having them create code that passes the unit tests
Conflict-free merge for DataFrames, JSON, ML models & distributed agents — powered by CRDTs. The first merge library where every operation is mathematically guaranteed to converge.
Test mypy plugins, stubs, custom types.
Simple python matrix bot based on Matrix-nio
Open-source simulation harness for testing AI agents. Simulate LLM and tool calls to test edge cases, failure paths, and agent logic without live API calls.
My collection of tools I've written for the graphtec MP2300 plotter. Demo:
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.