head to head · open source
Dify vs atmosphere
Dify has 156,215 GitHub stars, 24,668 forks, 1,067 open issues and last shipped today. atmosphere has 3,812 stars, 761 forks, 10 open issues and last shipped 4 days ago. Dify leads on adoption by 3,998% (156,215 vs 3,812 stars). Dify is written in TypeScript under a custom or non-standard licence; atmosphere is written in Java under Apache-2.0. Dify has attracted 16% as many forks as stars, atmosphere 20%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (agentic-ai, llm), 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 | atmosphere | |
|---|---|---|
| GitHub stars | ★ 156K | ★ 3.8K |
| License | Custom / other | Apache-2.0 |
| Written in | TypeScript | Java |
| Last push | 2026-09-18 | 2026-09-14 |
| Forks | ⑂ 25K | ⑂ 761 |
| 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 atmosphere if
- You want the atmosphere feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Java
- You evaluated both and atmosphere 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 atmosphere
Atmosphere The real time engine for AI agents on the JVM. Tokens flow from the LLM runtime to the client through a broadcaster you can filter, gate, and observe — over WebSocket, SSE, long polling, or gRPC, and out through MCP, A2A, and AG UI. A plain @Agent is a full deep agent, batteries included, and Atmosphere handles reconnect, authorization, and governance. Atmosphere is built for teams that need AI agents to behave like production services: streaming over real transports, guarded before every tool call, observable by tenant and run, and portable across AI frameworks without rewriting the endpoint. Why Atmo…
read the full atmosphere overview →
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Frequently asked questions
Is Dify or atmosphere more popular?
Dify has 156,215 GitHub stars and atmosphere has 3,812. Dify has the larger community by that measure.
Are Dify and atmosphere free?
Both are open source. Dify has no licence declared in this registry, and atmosphere is licensed under Apache-2.0. Both are free to self-host.
What is the difference between Dify and atmosphere?
Dify is written in TypeScript and atmosphere in Java. 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 atmosphere?
Choose Dify if you want the larger community (156,215 stars) or its Custom / other licence terms. Choose atmosphere if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.