head to head · open source

mikro-orm vs learn-agentic-ai

mikro-orm has 9,229 GitHub stars, 673 forks, 20 open issues and last shipped yesterday. learn-agentic-ai has 4,375 stars, 1,010 forks, 59 open issues and last shipped 11 months ago. mikro-orm leads on adoption by 111% (9,229 vs 4,375 stars). mikro-orm is written in TypeScript under MIT; learn-agentic-ai is written in Jupyter Notebook under MIT. mikro-orm has attracted 7% as many forks as stars, learn-agentic-ai 23%. mikro-orm 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.

mikro-orm ★ 9.2K learn-agentic-ai ★ 4.4K category Infrastructure & Operations

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Side by side

mikro-orm learn-agentic-ai
GitHub stars ★ 9.2K ★ 4.4K
License MIT MIT
Written in TypeScript Jupyter Notebook
Last push 2026-09-19 2025-10-26
Forks ⑂ 673 ⑂ 1.0K
Self-hosting Yes Yes
Data ownership Your server Your server

pick mikro-orm if

  • You weight community size — 9.2K stars and counting
  • You want the MIT license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full mikro-orm profile →

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

full learn-agentic-ai profile →

About mikro-orm

MikroORM is a TypeScript ORM for Node.js built on the Data Mapper, Unit of Work and Identity Map patterns, aimed at TypeScript teams that want typed, entity based persistence across MongoDB, MySQL, MariaDB, MS SQL Server, PostgreSQL, Oracle and SQLite/libSQL databases.

read the full mikro-orm 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 →

More in Infrastructure & Operations

kubernetes ★ 128K Immich ★ 115K frp ★ 110K Uptime Kuma ★ 92K worldmonitor ★ 87K mall ★ 85K

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Compare either of these against the rest of the Databases field.

mikro-orm vs mall mikro-orm vs Prometheus mikro-orm vs NocoDB mikro-orm vs etcd mikro-orm vs DBeaver mikro-orm vs orm mikro-orm vs Milvus mikro-orm vs TiDB mikro-orm vs drawDB mikro-orm vs typeorm mikro-orm vs AnotherRedisDesktopManager mikro-orm vs Qdrant

Frequently asked questions

Is mikro-orm or learn-agentic-ai more popular?

mikro-orm has 9,229 GitHub stars and learn-agentic-ai has 4,375. mikro-orm has the larger community by that measure.

Are mikro-orm and learn-agentic-ai free?

Both are open source. mikro-orm is licensed under MIT and learn-agentic-ai under MIT. Neither carries a licence fee.

What is the difference between mikro-orm and learn-agentic-ai?

mikro-orm is written in TypeScript 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, mikro-orm or learn-agentic-ai?

Choose mikro-orm if you want the larger community (9,229 stars) or its MIT licence terms. Choose learn-agentic-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.