openbb
Investment research for everyone, anywhere.
Decision gist · record as of 2026-08-14
Yes, if you need unified access to diverse financial data sources and can accept the AGPL-3.0 license terms. Install friction is low and maintenance is active. The 30-dependency footprint is substantial but unavoidable given the breadth of providers. Not suitable for proprietary closed-source applications without license review. Verify that your intended data providers are included or available as optional extensions before committing.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Most data providers require API keys configured in ~/.openbb_platform/user_settings.json or set at runtime via obb.user.credentials.
- Low install friction with a pure-Python wheel.
License · maintenance · safety
AGPL-3.0-only (agpl) — Licensed under AGPL-3.0-only. Any derivative work or networked deployment must make source code available under the same license; proprietary or closed-source applications should review compatibility before use.
last release 2026-05-26 (80 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 117,136 downloads/mo, #12,177 on PyPI
Alternatives
Verify before relying
pip install openbb
from openbb import obb
output = obb.equity.price.historical("AAPL")
df = output.to_dataframe()- Whether all 30 runtime dependencies are installed by default or if selective installation is recommended for production use.
- Performance characteristics and rate limits when querying across multiple data providers in a single session.
- Whether the REST API (via FastAPI/uvicorn) is production-ready or intended for development only.
What it is and what it does
OpenBB Platform is a Python library that centralizes access to financial market data across multiple public and commercial data sources. Instead of writing separate connectors for each provider (Yahoo Finance, FRED, SEC, Polygon, Benzinga, etc.), you import a single module and call methods like obb.equity.price.historical() to fetch data. The library handles authentication, data normalization, and error handling across providers.
It ships with a REST API built on FastAPI, allowing developers in any language to query financial data over HTTP. The core package installs with a selection of free data providers; additional paid sources and features (charting, MCP server integration) are available as optional extensions. Configuration uses a JSON settings file or runtime credential assignment.
Use it for
- Fetch historical stock prices, crypto data, or commodity prices for backtesting trading strategies.
- Build a financial dashboard or reporting tool that aggregates data from multiple free and paid sources.
- Query economic indicators (FRED, IMF, OECD) for macroeconomic analysis without writing separate API clients.
- Deploy a REST API server to serve financial data to web or mobile applications written in any language.
- Integrate SEC filings, congressional data, or regulatory reports into compliance or research workflows.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need unified access to diverse financial data sources and can accept the AGPL-3.0 license terms.
Install friction is low and maintenance is active. The 30-dependency footprint is substantial but unavoidable given the breadth of providers. Not suitable for proprietary closed-source applications without license review. Verify that your intended data providers are included or available as optional extensions before committing.
Install
openbb on PyPI
Before you install
Low install friction with a pure-Python wheel. Actively maintained (80 days since last release). Requires Python 3.10–3.13 and pulls in 30 runtime dependencies covering data providers; installation is straightforward but the dependency tree is substantial.
Requires Python 3.10 or later. Most data providers require API keys configured in ~/.openbb_platform/user_settings.json or set at runtime via obb.user.credentials.
License in practice
Licensed under AGPL-3.0-only. Any derivative work or networked deployment must make source code available under the same license; proprietary or closed-source applications should review compatibility before use.
Quickstart
pip install openbb
from openbb import obb
output = obb.equity.price.historical("AAPL")
df = output.to_dataframe()Verify before relying
- Whether all 30 runtime dependencies are installed by default or if selective installation is recommended for production use.
- Performance characteristics and rate limits when querying across multiple data providers in a single session.
- Whether the REST API (via FastAPI/uvicorn) is production-ready or intended for development only.
Package facts
| License | AGPL-3.0-only agpl |
| Python support | Supports the current Python release <4,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 30 packagesopenbb-benzingaopenbb-blsopenbb-cftcopenbb-commodityopenbb-congress-govopenbb-coreopenbb-cryptoopenbb-currencyopenbb-derivativesopenbb-econdbopenbb-economyopenbb-equityopenbb-etfopenbb-federal-reserveopenbb-fixedincomeopenbb-fmpopenbb-fredopenbb-government-usopenbb-imfopenbb-indexopenbb-intrinioopenbb-newsopenbb-oecdopenbb-platform-apiopenbb-regulatorsopenbb-secopenbb-tiingoopenbb-tradingeconomicsopenbb-us-eiaopenbb-yfinance |
| Maintenance | Actively maintained 80 days since the last release |
| First released | |
| Downloads | 117,136 / month, #12,177 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: GNU Affero General Public License v3Programming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: openbb-4.7.2-py3-none-any.whl
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See also openbb-benzinga · openbb-congress-gov · openbb-tiingo · openbb-tradingeconomics · shioaji · openbb-fmp · openbb-yfinance · openbb-intrinio · tradingeconomics · Quandl