PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.

A simple, correct Python build frontend

MyEtherWallet (our friends call us MEW) is a free, client-side interface helping you interact with the Ethereum blockchain.

🦄 Open source interfaces for the Uniswap protocol

A unified trading API with more than 100 crypto exchanges and prediction markets in JavaScript / TypeScript / Python / C# / PHP / Go / Java / Rust

A tool used to obfuscate python scripts, bind obfuscated scripts to fixed machine or expire obfuscated scripts.

a Valkey backend for django

Developer-friendly asynchrony for Django

Django Channels HTTP/WebSocket server

A flexible distributed key-value database that is optimized for caching and other realtime workloads.

Code base for the practitioner's guide to the ONC algorithm paper published with the Journal of Financial Data Science

Python code that takes a string input and returns code written in Piet that prints the input.

Portfolio and risk analytics in Python

Download market data from Yahoo! Finance's API

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

Anonymous peer-to-peer instant messaging

GTFOBins is a curated list of Unix-like executables that can be used to bypass local security restrictions in misconfigured systems.

Active Directory and Internal Pentest Cheatsheets

WebGoat is a deliberately insecure application

HFTFramework utilized for research on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

Compute fractional differentiation super-fast. Fork for Python 3.10+ with no torch support.

Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado.

Technical Analysis Library using Pandas and Numpy

Scikit-learn style cross-validation classes for time series data

An expansion of the Triple-Barrier Method by Marcos López de Prado