head to head · open source
Skill_Seekers vs nebula
Skill_Seekers has 15,009 GitHub stars, 1,530 forks, 59 open issues and last shipped 4 days ago. nebula has 12,398 stars, 1,329 forks, 678 open issues and last shipped 12 days ago. Skill_Seekers leads on adoption by 21% (15,009 vs 12,398 stars). Skill_Seekers is written in Python under MIT; nebula is written in C++ under Apache-2.0. Skill_Seekers has attracted 10% as many forks as stars, nebula 11%. Skill_Seekers 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
| Skill_Seekers | nebula | |
|---|---|---|
| GitHub stars | ★ 15K | ★ 12K |
| License | MIT | Apache-2.0 |
| Written in | Python | C++ |
| Last push | 2026-09-16 | 2026-09-08 |
| Forks | ⑂ 1.5K | ⑂ 1.3K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Skill_Seekers if
- You weight community size — 15K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick nebula if
- You want the nebula feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches C++
- You evaluated both and nebula fits your workflow better
About Skill_Seekers
Skill Seekers is a Python 3.10+ command line tool and MCP server that turns 18 source types — documentation sites, GitHub repositories, PDFs, Word and EPUB files, notebooks, OpenAPI specs, man pages, and video — into structured knowledge assets packaged for Claude AI skills, RAG pipelines such as LangChain, LlamaIndex, and Pinecone, and AI coding assistants including Cursor, Windsurf, and Cline.
read the full Skill_Seekers overview →
About nebula
NebulaGraph is an open source, distributed graph database written in C++ and released under the Apache 2.0 license. It lives in the graph database ecosystem and appears in the CNCF Database Landscape. The project describes itself as symmetrically distributed, with storage and computing separated into distinct layers, horizontal scalability across nodes, strong data consistency enforced through the RAFT protocol, an OpenCypher compatible query language, role based access control, and a set of graph analytics algorithms. It has been developed for roughly eight years and carries 12,387 stars, 1,330 forks, and 678 op…
read the full nebula overview →
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Frequently asked questions
Is Skill_Seekers or nebula more popular?
Skill_Seekers has 15,009 GitHub stars and nebula has 12,398. Skill_Seekers has the larger community by that measure.
Are Skill_Seekers and nebula free?
Both are open source. Skill_Seekers is licensed under MIT and nebula under Apache-2.0. Neither carries a licence fee.
What is the difference between Skill_Seekers and nebula?
Skill_Seekers is written in Python and nebula in C++. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Skill_Seekers or nebula?
Choose Skill_Seekers if you want the larger community (15,009 stars) or its MIT licence terms. Choose nebula if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.