Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today. Learn more →
Top 22 Python Quant Projects
-
-
Scout Monitoring
Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
-
-
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
No, it looks more like a Rust equivalent of libraries like ffn (financial functions for python) or many of the other ones listed here https://github.com/wilsonfreitas/awesome-quant
Using rust to do exploratory analysis in python seems like a misguided idea. But using rust to productize models that have performance and accuracy sensitivities, the things that C/C++ is still used for, indeed sounds like a good idea.
Most of the python libraries used in finance, like numpy/pandas, call out to C for performance reasons; the libraries are essentially python bindings + syntax to C functions. It would be interesting to think about replacing that backend with rust.
-
qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
Project mention: Open-source AI-oriented quantitative investment platform | news.ycombinator.com | 2023-11-03 -
akshare
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库 (by akfamily)
-
-
financial-machine-learning
A curated list of practical financial machine learning tools and applications.
Project mention: financial-machine-learning: NEW Other Models - star count:5115.0 | /r/algoprojects | 2023-12-10 -
InfluxDB
Purpose built for real-time analytics at any scale. InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.
-
quant-trading
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
Project mention: quant-trading: NEW Derivatives and Hedging - star count:4620.0 | /r/algoprojects | 2023-10-28 -
-
awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading. (by paperswithbacktest)
-
-
-
Empyrial
AI and data-driven quantitative portfolio management library for portfolio risk and performance analysis 投资组合管理
-
-
howtrader
Howtrader: A crypto quant framework for developing, backtesting, and executing your own trading strategies. Seamlessly integrates with TradingView and other third-party signals. Simply send a post request to automate trading and order placement. Supports Binance and Okex exchanges.
-
-
qf-lib
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.
-
py-market-profile
A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.
-
-
quantclean
🧹 Quantclean is a program that reformats financial dataset to US Equity TradeBar (Quantconnect format)
-
cipher-bt
Trading strategy backtesting framework with focus on position adjustment in a session scope.
-
FinceptTerminal
Fincept Investments is a comprehensive CLI tool that provides financial insights, market analysis, and a host of other financial services such as technical analysis, fundamental analysis, sentiment analysis, quantitative analysis, and economic data services.
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python Quant discussion
Python Quant related posts
-
Ask HN: How to Get into Quantitative Trading?
-
financial-machine-learning: NEW Other Models - star count:5115.0
-
Open source backtesting software
-
financial-machine-learning: NEW Other Models - star count:4862.0
-
financial-machine-learning: NEW Other Models - star count:4862.0
-
financial-machine-learning: NEW Other Models - star count:4862.0
-
akshare: NEW Derivatives and Hedging - star count:7338.0
-
A note from our sponsor - Scout Monitoring
www.scoutapm.com | 8 Sep 2024
Index
What are some of the best open-source Quant projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | vnpy | 24,398 |
| 2 | zipline | 17,471 |
| 3 | awesome-quant | 17,527 |
| 4 | qlib | 15,137 |
| 5 | akshare | 8,942 |
| 6 | QUANTAXIS | 8,062 |
| 7 | financial-machine-learning | 6,918 |
| 8 | quant-trading | 5,671 |
| 9 | quantstats | 4,720 |
| 10 | awesome-systematic-trading | 3,559 |
| 11 | zvt | 3,126 |
| 12 | fooltrader | 1,133 |
| 13 | Empyrial | 914 |
| 14 | wtpy | 869 |
| 15 | howtrader | 694 |
| 16 | alpaca-py | 536 |
| 17 | qf-lib | 530 |
| 18 | py-market-profile | 353 |
| 19 | Beibo | 82 |
| 20 | quantclean | 17 |
| 21 | cipher-bt | 13 |
| 22 | FinceptTerminal | 8 |
Sponsored
Free Django app performance insights with Scout Monitoring
Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
www.scoutapm.com