head to head · open source
DBeaver vs learn-agentic-ai
DBeaver has 52,273 GitHub stars, 4,442 forks, 3,334 open issues and last shipped yesterday. learn-agentic-ai has 4,394 stars, 1,006 forks, 59 open issues and last shipped 1.0 years ago. DBeaver leads on adoption by 1,090% (52,273 vs 4,394 stars). DBeaver is written in Java under Apache-2.0; learn-agentic-ai is written in Jupyter Notebook under MIT. DBeaver has attracted 8% as many forks as stars, learn-agentic-ai 23%. DBeaver was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| DBeaver | learn-agentic-ai | |
|---|---|---|
| GitHub stars | ★ 52K | ★ 4.4K |
| License | Apache-2.0 | MIT |
| Written in | Java | Jupyter Notebook |
| Last push | 2026-11-02 | 2025-10-26 |
| Forks | ⑂ 4.4K | ⑂ 1.0K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick DBeaver if
- You weight community size — 52K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Java
- You value the larger contributor base for long-term maintenance
pick learn-agentic-ai if
- You want the learn-agentic-ai feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Jupyter Notebook
- You evaluated both and learn-agentic-ai fits your workflow better
About DBeaver
DBeaver Free multi platform database tool for developers, SQL programmers, database administrators and analysts. Has a lot of features including schema editor, SQL editor, data editor, AI chat, ER diagrams, data export/import/migration, SQL execution plans, database administration tools, database dashboards, Spatial data viewer, proxy and SSH tunnelling, custom database drivers editor, etc. Out of the box supports more than 100 database drivers . Supports any database which has JDBC or ODBC driver (basically almost all existing databases). Integrates AI tools for work with data, SQL and database structure…
read the full DBeaver overview →
About learn-agentic-ai
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern: From Start to Scale This repo is part of the Panaversity Certified Agentic & Robotic AI Engineer program. You can also review the certification and course details in the program guide. This repo provides learning material for Agentic AI and Cloud courses. Here’s a polished, professional rewrite you can use as a one pager or slide—tight on wording, clear on stakes, and just a touch playful so it doesn’t read like it was written by a committee (no offense to committees 😄). Our Agentic Strategy for Pakistan: Four Working Hypotheses Pakistan…
read the full learn-agentic-ai overview →
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Frequently asked questions
Is DBeaver or learn-agentic-ai more popular?
DBeaver has 52,273 GitHub stars and learn-agentic-ai has 4,394. DBeaver has the larger community by that measure.
Are DBeaver and learn-agentic-ai free?
Both are open source. DBeaver is licensed under Apache-2.0 and learn-agentic-ai under MIT. Neither carries a licence fee.
What is the difference between DBeaver and learn-agentic-ai?
DBeaver is written in Java and learn-agentic-ai in Jupyter Notebook. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, DBeaver or learn-agentic-ai?
Choose DBeaver if you want the larger community (52,273 stars) or its Apache-2.0 licence terms. Choose learn-agentic-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.