Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Awesome Quant | 14,931 | 3 months ago | 11 | Python | ||||||
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance) | ||||||||||
Akshare | 8,269 | 33 | 16 days ago | 2,049 | December 05, 2023 | mit | Python | |||
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 | ||||||||||
Alpha_vantage | 4,107 | 10 | 22 | 4 months ago | 34 | December 21, 2020 | 9 | mit | Python | |
A python wrapper for Alpha Vantage API for financial data. | ||||||||||
Pandas Datareader | 2,733 | 703 | 152 | 6 months ago | 22 | July 13, 2021 | 139 | other | Python | |
Extract data from a wide range of Internet sources into a pandas DataFrame. | ||||||||||
Rotki | 2,481 | 3 months ago | 326 | agpl-3.0 | Python | |||||
A portfolio tracking, analytics, accounting and management application that protects your privacy | ||||||||||
Financetoolkit | 2,321 | 3 | 21 days ago | 4 | September 20, 2023 | 4 | mit | Python | ||
Transparent and Efficient Financial Analysis | ||||||||||
Finmind | 2,003 | 3 months ago | 130 | December 06, 2023 | 45 | apache-2.0 | Jupyter Notebook | |||
Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主),每天更新 https://finmind.github.io/ | ||||||||||
Tda Api | 1,174 | 2 | a year ago | 53 | June 07, 2022 | 35 | mit | Python | ||
A TD Ameritrade API client for Python. Includes historical data for equities and ETFs, options chains, streaming order book data, complex order construction, and more. | ||||||||||
Py4fi | 1,130 | 4 years ago | 2 | Jupyter Notebook | ||||||
Python for Finance (O'Reilly) | ||||||||||
Yahoofinancials | 839 | 4 | 13 | 3 months ago | 29 | December 09, 2023 | 59 | mit | Python | |
A powerful financial data module used for pulling data from Yahoo Finance. This module can pull fundamental and technical data for stocks, indexes, currencies, cryptos, ETFs, Mutual Funds, U.S. Treasuries, and commodity futures. |