head to head · open source
HeidiSQL vs learn-agentic-ai
HeidiSQL has 6,274 GitHub stars, 587 forks, 324 open issues and last shipped 2 days ago. learn-agentic-ai has 4,375 stars, 1,010 forks, 59 open issues and last shipped 11 months ago. HeidiSQL leads on adoption by 43% (6,274 vs 4,375 stars). HeidiSQL is written in Pascal under GPL-2.0; learn-agentic-ai is written in Jupyter Notebook under MIT. HeidiSQL has attracted 9% as many forks as stars, learn-agentic-ai 23%. HeidiSQL 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
| HeidiSQL | learn-agentic-ai | |
|---|---|---|
| GitHub stars | ★ 6.3K | ★ 4.4K |
| License | GPL-2.0 | MIT |
| Written in | Pascal | Jupyter Notebook |
| Last push | 2026-09-18 | 2025-10-26 |
| Forks | ⑂ 587 | ⑂ 1.0K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick HeidiSQL if
- You weight community size — 6.3K stars and counting
- You want the GPL-2.0 license terms
- Your stack matches Pascal
- 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 HeidiSQL
HeidiSQL is a free, GPL 2.0 licensed graphical client for managing MariaDB, MySQL, Microsoft SQL Server, PostgreSQL, SQLite, Interbase and Firebird databases, aimed at developers and database administrators who need to browse, edit and export data without working from a command line.
read the full HeidiSQL overview →
About learn-agentic-ai
learn agentic ai is an MIT licensed Jupyter Notebook learning repository from Panaversity that teaches developers how to design and scale agentic AI systems using the Dapr Agentic Cloud Ascent (DACA) design pattern and agent native cloud technologies.
read the full learn-agentic-ai overview →
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Frequently asked questions
Is HeidiSQL or learn-agentic-ai more popular?
HeidiSQL has 6,274 GitHub stars and learn-agentic-ai has 4,375. HeidiSQL has the larger community by that measure.
Are HeidiSQL and learn-agentic-ai free?
Both are open source. HeidiSQL is licensed under GPL-2.0 and learn-agentic-ai under MIT. Neither carries a licence fee.
What is the difference between HeidiSQL and learn-agentic-ai?
HeidiSQL is written in Pascal 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, HeidiSQL or learn-agentic-ai?
Choose HeidiSQL if you want the larger community (6,274 stars) or its GPL-2.0 licence terms. Choose learn-agentic-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.