Awesome AI in Finance
Section: Market Data · 11 MCP tools for SEC EDGAR — every filing type (10-K, 10-Q, 8-K, S-1), no API key required; 1,800+ Smithery installs.
FreshScore 87
Entry
edgartools
Appears in 5 awesome lists
|Python| - SEC EDGAR data for quant strategies — fundamentals, institutional holdings (13F), insider transactions, and corporate events (8-K). Includes MCP server for AI workflows.
Open github.comdgunning/edgartools
Found in these lists
Awesome Quant
Section: Market Data & Data Sources · Python - AI-native SEC EDGAR library with XBRL financials, clean text extraction, 17+ typed forms, and pandas DataFrames.
FreshScore 91
Libraries and packages
Section: General · SEC EDGAR filings in Python: XBRL fundamentals, 13F institutional holdings, insider transactions (Forms 3/4/5) and 8-K events
FreshScore 86
Awesome Python
Section: Data Ingestion / ETL · Library for downloading structured data from SEC EDGAR filings and XBRL financial statements.
FreshScore 94
Awesome Systematic Trading
Section: Alternative · |Python| - SEC EDGAR data for quant strategies — fundamentals, institutional holdings (13F), insider transactions, and corporate events (8-K). Includes MCP server for AI workflows.
FreshScore 89
Often listed next to it
OpenChainBench
Open benchmarks of crypto infrastructure (RPC providers, bridges, oracles, L1 finality, prediction-market data, Hyperliquid builders) refreshed every minute via a JSON feed, with daily Parquet snapshots on Hugging Face (CC-BY-4.0) archived on Zenodo. [DOI]
In 6 listsDetails
yfinance
|Python| - yfinance offers a threaded and Pythonic way to download market data from Yahoo!Ⓡ finance.
In 5 listsDetails
akshare
Python - AkShare is an elegant and simple financial data interface library for Python, built for human beings! https://akshare.readthedocs.io.
In 5 listsDetails
OpenBB
Financial data platform for analysts, quants and AI agents. Open-source investment research infrastructure with extensive data integrations. AGPL-3.0 licensed.
In 5 listsDetails
pandas-datareader
Python - Python module to get data from various sources (Google Finance, Yahoo Finance, FRED, OECD, Fama/French, World Bank, Eurostat...) into Pandas datastructures such as DataFrame, Panel with a caching mechanism.
In 5 listsDetails
FinanceDatabase
Python - This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
In 4 listsDetails
FinanceToolkit
Python - Toolkit with 200+ financial metrics including 80+ financial ratios, 30+ technical indicators, 20+ risk and performance metrics and 50+ macro indicators which pulls from Financial Modeling Prep, Yahoo Finance, OECD, GMBD and more.
In 4 listsDetails