openbq-org/OpenBB

Open Data Platform for analysts, quants and AI agents.

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Summary Information

Updated 2 hours ago
Added to GitGenius on September 30th, 2026
Created on December 20th, 2020
Open Issues & Pull Requests: 88 (+0)
GitHub issues: Enabled
Number of forks: 7,640
Total Stargazers: 73,985 (+2)
Total Subscribers: 467 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 12.3 hours
Mean response time: 20.3 days
90th percentile: 10.6 days
Tracked items: 295

How this project is maintained

About 12% of issues opened in the past year have never received a reply. 98% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "bug" is answered fastest, typically in about 9 hours, while "platform" waits about 7 days. 72% of issues opened in the past year have been closed, leaving a working backlog. Three people close 83% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 42
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 387 days
Stale 30+ days: 35
Stale 90+ days: 27

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (28)
  • platform (15)
  • 🕹️ 300 points (14)
  • v4 (9)
  • cli (6)
  • enhancement (6)
  • extensions (4)
  • Terminal (2)

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Detailed Description

OpenBB is an open-source data integration platform that consolidates proprietary, licensed, and public financial data sources for downstream applications including AI copilots, research dashboards, and quantitative analysis tools.

The platform solves the fragmentation problem of working with multiple financial data providers by operating as a "connect once, consume everywhere" infrastructure layer. It standardizes data access across equities, options, derivatives, crypto, fixed-income, and economic data, then exposes this unified data through multiple surfaces simultaneously: Python environments for quantitative work, Excel and OpenBB Workspace for analysts, MCP servers for AI agents, and REST APIs for other applications. Users install the tool via pip and can launch a FastAPI server to make data available locally or integrate it with downstream systems.

Adoption suits data engineers and teams building financial applications who need to consolidate multiple data sources without rebuilding integrations for each consumer. The tool is particularly valuable for organizations deploying AI agents or analyst dashboards that require consistent data access patterns. It works alongside OpenBB Workspace, an enterprise UI layer for visualization and AI agent orchestration, though the open-source platform itself provides the foundational data integration without requiring that commercial product. The README does not compare this tool to alternative data integration frameworks.

Development activity shows consistent engagement with the codebase through regular updates and maintenance of the data integration layer. The project maintains active documentation covering both the Python API and integration patterns with downstream systems. Community contribution pathways are established, with separate open-source repositories available for extending the platform with additional data backends and AI agent integrations.