head to head · open source
HeidiSQL vs learn-agentic-ai
HeidiSQL has 6,315 GitHub stars, 600 forks, 324 open issues and last shipped 2 days ago. learn-agentic-ai has 4,396 stars, 1,006 forks, 59 open issues and last shipped 1.0 years ago. HeidiSQL leads on adoption by 44% (6,315 vs 4,396 stars). HeidiSQL is written in Pascal under GPL-2.0; learn-agentic-ai is written in Jupyter Notebook under MIT. HeidiSQL has attracted 10% 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 | 2026-11-03 | 2025-10-26 |
| Forks | ⑂ 600 | ⑂ 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 HeidiSQL is a graphical interface for managing MariaDB or MySQL servers, Microsoft SQL databases, PostgreSQL, SQLite, Interbase or Firebird. "Heidi" lets you browse and edit data, create and edit tables, views, procedures, triggers and scheduled events. Also, you can export structure and data, either to SQL file, clipboard or to other servers. Read about features or see some screenshots. Need help? Look at the online help page to learn how to use HeidiSQL. The forum is meant to ask questions. The issue tracker is the place to report bugs or request new features. Building For compiling on platforms other…
read the full HeidiSQL 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 HeidiSQL or learn-agentic-ai more popular?
HeidiSQL has 6,315 GitHub stars and learn-agentic-ai has 4,396. 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 (6,315 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.