# OpenBB-finance/OpenBB

Open Data Platform for analysts, quants and AI agents.

Repository: https://github.com/OpenBB-finance/OpenBB
Canonical: https://ross.abutalabs.com/products/openbb
Homepage: https://openbb.co
Language: Python
License: NOASSERTION
License Family: other
Topics: python, machine-learning, finance, stocks, quantitative-finance, economics, crypto, openbb, ai, derivatives, equity, fixed-income, options
Last push: 2026-07-30T17:33:42+00:00

## Health v2 (maintenance only)
Score: 91/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 81, longevity 100
- inputs: {"age_days": 2082, "days_push": 34, "days_rel": 130, "gap_med": 28, "n_releases_24m": 16}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 72337, forks 7461 (observed 2026-08-28T04:12:21.168202+00:00)

## What it is
OpenBB's Open Data Platform (ODP) is an open-source Python toolset that integrates proprietary, licensed, and public financial data sources into a unified API consumable via Python, REST, Excel, Jupyter, CLI, and MCP servers for AI agents. It serves as the 'connect once, consume everywhere' data infrastructure layer for analysts, quants, and AI applications.

## Use cases
- fetch historical stock prices in python
- integrate market data vendors into one api
- expose financial data to ai agents via mcp
- build quantitative research dashboards
- pull options and crypto data into jupyter
- serve financial data over rest api
- automate data collection from the terminal

## When to choose
- you need a unified python interface to many financial data providers
- you want to feed governed market data to AI agents or copilots
- you're a quant building research workflows in Python or Jupyter
- you want to avoid rebuilding data integrations for every downstream app

## When to avoid
- you need a polished end-user UI - that's the commercial OpenBB Workspace, not this repo
- you only need a simple charting or backtesting library rather than a data platform
- you require a permissively licensed dependency - the license is custom (NOASSERTION)
- your use case is non-financial general data integration

## Facets
- artifact type: library
- maturity: active
- function: data-science, sdk, api-framework, cli, machine-learning, mcp, analytics
- domain: fintech, data-science, apis, large-language-models, developer-tools
- platform: python, cli, cross-platform
- tags: finance, stocks, quantitative-finance, market-data, financial-analysis, data-integration, rest-api, excel, jupyter, crypto, options, economics, web-server

## Member repositories
- OpenBB-finance/OpenBB (main) score 91

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:21.168202+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:15:25.271543+00:00, confidence not recorded.
  - readme: https://github.com/OpenBB-finance/OpenBB (fetched 2026-08-28T04:12:21.168202+00:00, sha 372257151923)
  - homepage: https://openbb.co (fetched 2026-08-28T17:49:25.135018+00:00, sha 7e202493e53f)
  - site_page: https://openbb.co/company/about (fetched 2026-08-28T17:49:25.144117+00:00, sha 88b89ec169a7)
  - site_page: https://docs.openbb.co/ (fetched 2026-08-28T17:49:25.146173+00:00, sha 667e82ab7cce)
  - site_page: https://openbb.co/pricing (fetched 2026-08-28T17:49:25.147535+00:00, sha ed88fad3d538)
- Data as of 2026-08-30T08:39:29.467469+00:00.