The official Python SDK for Sentry.io
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The official Python SDK for Sentry.io
Python trading framework with AI agents that actually place the trade. Backtest, paper and live trade on 12 brokers: stocks, options, futures, forex, crypto and prediction markets.
IAM Least Privilege Policy Generator
Python MUD/MUX/MUSH/MU* development system
MessagePack serializer implementation for Python msgpack.org[Python]
Python support for Godot 🐍🐍🐍
CLI task management & automation tool
QuTiP: Quantum Toolbox in Python
Crossbar.io - WAMP application router
A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators.
A curated list of resources related to Industrial Control System (ICS) security.
Mentalist is a graphical tool for custom wordlist generation. It utilizes common human paradigms for constructing passwords and can output the full wordlist as well as rules compatible with Hashcat and John the Ripper.
Elyra extends JupyterLab with an AI centric approach.
Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
Nix User Repository: User contributed nix packages [maintainer=@Pandapip1]
PEP-484 stubs for Django
A fast, user friendly ORM and query builder which supports asyncio.
Battle-tested agent skills mapping the footguns of Kotlin, Compose Multiplatform and the desktop JVM — mined from a production music app, not from documentation.
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
A tool for automating cracking methodologies through Hashcat from the TrustedSec team.
A self-hosted habit tracking app without "Goals"
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
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