head to head · open source

Dify vs E2B

Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. E2B has 14,676 stars, 1,148 forks, 59 open issues and last shipped yesterday. Dify leads on adoption by 992% (160,251 vs 14,676 stars). Dify is written in Python under a custom or non-standard licence; E2B is written in Python under Apache-2.0. Dify has attracted 16% as many forks as stars, E2B 8%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (agent, ai, gpt, 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.

Dify ★ 160K E2B ★ 15K category AI & Machine Learning

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Side by side

Dify E2B
GitHub stars ★ 160K ★ 15K
License Custom / other Apache-2.0
Written in Python Python
Last push 2026-11-02 2026-11-02
Forks ⑂ 25K ⑂ 1.1K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Dify if

  • You weight community size — 160K stars and counting
  • You want the Custom / other license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Dify profile →

pick E2B if

  • You want the E2B 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 E2B fits your workflow better

full E2B profile →

About Dify

Dify Cloud · Self hosting · Documentation · Dify edition overview Dify is an open source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features (including Opik, Langfuse, and Arize Phoenix) and more, letting you quickly go from prototype to production. Here's a list of the core features: Quick start Before installing Dify, make sure your machine meets the following minimum system requirements: CPU = 2 Core RAM = 4 GiB The easiest way to start the Dify server is through Docker Compose. Before running Dify with the…

read the full Dify overview →

About E2B

What is E2B? E2B is an open source infrastructure that allows you to run AI generated code in secure isolated sandboxes in the cloud. To start and control sandboxes, use our JavaScript SDK or Python SDK. Run your first Sandbox 1. Install SDK JavaScript / TypeScript Python 2. Get your E2B API key 1. Sign up to E2B here. 2. Get your API key here. 3. Set environment variable with your API key 3. Start a sandbox and run commands JavaScript / TypeScript Python 4. Code execution with Code Interpreter If you need to execute code with runCode() / run code() , install the Code Interpreter SDK (JavaScript / Python): 5…

read the full E2B overview →

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Frequently asked questions

Is Dify or E2B more popular?

Dify has 160,251 GitHub stars and E2B has 14,676. Dify has the larger community by that measure.

Are Dify and E2B free?

Both are open source. Dify has no licence declared in this registry, and E2B is licensed under Apache-2.0. Both are free to self-host.

What is the difference between Dify and E2B?

Dify is written in Python and E2B 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 E2B?

Choose Dify if you want the larger community (160,251 stars) or its Custom / other licence terms. Choose E2B if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.