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Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.
WebApps in pure Python. No JavaScript, HTML and CSS needed
FuturePool is a package that introduce known concept of multiprocessing Pool to the async/await world. It allows for easy translation from multiprocessing to async/await, while keeping the core pri…
Sample FastAPI server with JWT auth and Beanie ODM
Cookiecutter template to create a new FastAPI project
Backend of stocknear - Open Source Stock Analysis
A modern cookiecutter template for Python projects that use uv for dependency management
Hands-on tutorial and Automation stack for an operations-ready DigitalOcean Kubernetes (DOKS) cluster.
Easy to use stem (e.g. instrumental/vocals) separation from CLI or as a python package, using a variety of amazing pre-trained models (primarily from UVR)
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
Portfolio analytics for quants, written in Python
Financial Markets Data Visualization using Matplotlib
Instant voice cloning by MIT and MyShell. Audio foundation model.
ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.
📰 Newspaper4k a fork of the beloved Newspaper3k. Extraction of articles, titles, and metadata from news websites.
A fully customizable toast notification library for PyQt and PySide
alpacahq / awesome-quant
Forked from wilsonfreitas/awesome-quantA curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…
Transparent and Efficient Financial Analysis
Algorithmic Trading in Python with Machine Learning
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Collection of notebooks about quantitative finance, with interactive python code.
An Interview Primer for Quantitative Finance
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.