A Python package for aggregating and normalizing historical data from popular and free financial APIs.

Functions to convert (WRDS) SAS data to PostgreSQL, parquet, and CSV

Fork of GitHub Desktop to support various Linux distributions

An interactive cheatsheet tool for the command-line

A modern desktop interface for Linux. Improve your user experience and get rid of the anarchy of traditional desktop workflows. Designed to simplify navigation and reduce the need to manipulate win…

Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...

Come join the best place on the internet to learn AI skills. Use code "buildwareai" for an extra 20% off.

AI chat client

Source and description files for individual bank data analysis

Turns Data and AI algorithms into production-ready web applications in no time.

A tool for converting FERC filings published in XBRL into SQLite databases

Transparent and Efficient Financial Analysis

An open-source XBRL processor for business rules, rendering and custom data reporting. See https://xbrl.us/xule for documentation and https://xbrl.us/xule-editor for a VS Code syntax highlighter.

SECDatabase.com produced this dataset with the text and detailed numeric information of all financial statements. The Dataset is extracted from corporate annual and quarterly reports filed with the…

Explore XBRL with R

Python-based parser for parsing XBRL and iXBRL files

The first real AI developer

OpenEDGAR (openedgar.io)

A list of Free Software network services and web applications which can be hosted on your own servers

XBRL.US Webinar: How to download and process SEC XBRL Data Directly from EDGAR

Building a financial reporting SQLite database from the SEC's EDGAR XBRL filings

This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by st…

This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.

Extract data from a wide range of Internet sources into a pandas DataFrame.

A curated list of practical financial machine learning tools and applications.

Performant financial charts built with HTML5 canvas

Data Apps & Dashboards for Python. No JavaScript Required.

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)