head to head · open source
Dify vs J-Space-Cognition-Suite
Dify has 156,215 GitHub stars, 24,668 forks, 1,067 open issues and last shipped yesterday. J-Space-Cognition-Suite has 3,009 stars, 222 forks, 0 open issues and last shipped 5 days ago. Dify leads on adoption by 5,092% (156,215 vs 3,009 stars). Dify is written in TypeScript under a custom or non-standard licence; J-Space-Cognition-Suite is written in Python under Apache-2.0. Dify has attracted 16% as many forks as stars, J-Space-Cognition-Suite 7%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, deepseek), so they are genuine substitutes rather than adjacent tools.
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
| Dify | J-Space-Cognition-Suite | |
|---|---|---|
| GitHub stars | ★ 156K | ★ 3.0K |
| License | Custom / other | Apache-2.0 |
| Written in | TypeScript | Python |
| Last push | 2026-09-18 | 2026-09-14 |
| Forks | ⑂ 25K | ⑂ 222 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Dify if
- You weight community size — 156K stars and counting
- You want the Custom / other license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick J-Space-Cognition-Suite if
- You want the J-Space-Cognition-Suite 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 J-Space-Cognition-Suite fits your workflow better
About Dify
Dify is an open source LLM application development platform built in TypeScript. It provides a visual interface for designing, testing, and deploying AI workflows, RAG pipelines, and agentic systems without writing extensive code. The platform lives in the generative AI development ecosystem and targets teams needing to move from prototype to production using consistent tooling across environments.
About J-Space-Cognition-Suite
J Space Cognition Suite is a model agnostic, inference time control suite for deep reasoning, long horizon work, verification, and recovery, delivered as one installable skill for a host agent and built for engineers running serious multi step projects.
read the full J-Space-Cognition-Suite overview →
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Frequently asked questions
Is Dify or J-Space-Cognition-Suite more popular?
Dify has 156,215 GitHub stars and J-Space-Cognition-Suite has 3,009. Dify has the larger community by that measure.
Are Dify and J-Space-Cognition-Suite free?
Both are open source. Dify has no licence declared in this registry, and J-Space-Cognition-Suite is licensed under Apache-2.0. Both are free to self-host.
What is the difference between Dify and J-Space-Cognition-Suite?
Dify is written in TypeScript and J-Space-Cognition-Suite 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, Dify or J-Space-Cognition-Suite?
Choose Dify if you want the larger community (156,215 stars) or its Custom / other licence terms. Choose J-Space-Cognition-Suite if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.