head to head · open source

generative-ai-for-beginners vs holmesgpt

generative-ai-for-beginners has 119,956 GitHub stars, 63,149 forks, 23 open issues and last shipped yesterday. holmesgpt has 3,397 stars, 494 forks, 432 open issues and last shipped yesterday. generative-ai-for-beginners leads on adoption by 3,431% (119,956 vs 3,397 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; holmesgpt is written in Python under Apache-2.0. generative-ai-for-beginners has attracted 53% as many forks as stars, holmesgpt 15%. holmesgpt 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.

generative-ai-for-beginners ★ 120K holmesgpt ★ 3.4K category AI & Machine Learning

← all 8884 open source comparisons

Side by side

	generative-ai-for-beginners	holmesgpt
GitHub stars	★ 120K	★ 3.4K
License	MIT	Apache-2.0
Written in	Jupyter Notebook	Python
Last push	2026-09-17	2026-09-17
Forks	⑂ 63K	⑂ 494
Self-hosting	Yes	Yes
Data ownership	Your server	Your server

pick generative-ai-for-beginners if

You weight community size — 120K stars and counting
You want the MIT license terms
Your stack matches Jupyter Notebook
You value the larger contributor base for long-term maintenance

full generative-ai-for-beginners profile →

pick holmesgpt if

You want the holmesgpt feature set and don't need the biggest community
You prefer the Apache-2.0 license terms
Your stack matches Python
You evaluated both and holmesgpt fits your workflow better

full holmesgpt profile →

About generative-ai-for-beginners

Generative AI for Beginners is Microsoft's free, MIT licensed curriculum of 21 Jupyter Notebook lessons that teaches developers how to start building generative AI applications, aimed at newcomers who want a structured, self paced path instead of scattered documentation.

read the full generative-ai-for-beginners overview →

About holmesgpt

HolmesGPT is an open source site reliability engineering agent for production incident investigation. It is a CNCF Sandbox project written in Python under Apache 2.0. It lives in the cloud native DevOps and observability ecosystem, and it works with Kubernetes, VMs, cloud providers, databases, and SaaS platforms.

read the full holmesgpt overview →

More in AI & Machine Learning

Related comparisons

More AI Development Platforms projects

Compare either of these against the rest of the AI Development Platforms field.

generative-ai-for-beginners vs Dify generative-ai-for-beginners vs langchain generative-ai-for-beginners vs ponytail generative-ai-for-beginners vs graphify generative-ai-for-beginners vs claude-mem generative-ai-for-beginners vs ragflow generative-ai-for-beginners vs PaddleOCR generative-ai-for-beginners vs Agent-Reach generative-ai-for-beginners vs headroom generative-ai-for-beginners vs Mem0 generative-ai-for-beginners vs daily_stock_analysis generative-ai-for-beginners vs LiteLLM

Frequently asked questions

Is generative-ai-for-beginners or holmesgpt more popular?

generative-ai-for-beginners has 119,956 GitHub stars and holmesgpt has 3,397. generative-ai-for-beginners has the larger community by that measure.

Are generative-ai-for-beginners and holmesgpt free?

Both are open source. generative-ai-for-beginners is licensed under MIT and holmesgpt under Apache-2.0. Neither carries a licence fee.

What is the difference between generative-ai-for-beginners and holmesgpt?

generative-ai-for-beginners is written in Jupyter Notebook and holmesgpt in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, generative-ai-for-beginners or holmesgpt?

Choose generative-ai-for-beginners if you want the larger community (119,956 stars) or its MIT licence terms. Choose holmesgpt if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.