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GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.

frameworkPythonNOASSERTION
GitHubCompare
Refreshed 5h ago
OverviewActivity52wAlternativesDocs
Stars17.1k
Forks1.9k
HF Downloads30d
Last commit16h ago
Refreshed5h ago
Project healthActiveLast commit 16h ago.
Production readinessMVP-readySuitable for non-critical production use.
Risk notesNOASSERTIONVerify license before production use.
AgentHub Score
82 / 100
Composite score from 6 signals. How we score →
Active project
82Score
Growth
98A+
Activity
96A+
Documentation
70C+
Maturity
94A+
Community
95A+
Production
58C
GitHub stars · 0 days observed17.1k not enough history
snapshots
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Repository activity · 0 days observednot enough history from pushed_at
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Practical assessment
Should you use it?

✓ Best for

  • Multi-agent orchestration
  • Production agentic workflows
  • Stateful long-running tasks

◎ Strengths

  • Stable API
  • Active release cadence
  • Strong GitHub community

✕ Not ideal for

  • Simple single-step automation
  • Teams without Python/ML expertise

⚠ Watch-outs

  • Breaking changes between minor versions
  • Ecosystem lock-in if tightly coupled
Technical details
What's inside
LanguagePython
LicenseNOASSERTION
Sourcegithub
Open source✗ No
Commercial use
Docs
Demo
Paper

AgentHub Score

82
Score 82/100
Top performer

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Recent activity

Latest commit 16h ago16h ago
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