head to head · open source

Dify vs loopy

Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. loopy has 3,216 stars, 285 forks, 5 open issues and last shipped 2 months ago. Dify leads on adoption by 4,883% (160,251 vs 3,216 stars). Dify is written in Python under a custom or non-standard licence; loopy is written in JavaScript under MIT. Dify has attracted 16% as many forks as stars, loopy 9%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (automation), 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 loopy ★ 3.2K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

Dify loopy
GitHub stars ★ 160K ★ 3.2K
License Custom / other MIT
Written in Python JavaScript
Last push 2026-11-02 2026-09-11
Forks ⑂ 25K ⑂ 285
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 loopy if

  • You want the loopy feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches JavaScript
  • You evaluated both and loopy fits your workflow better

full loopy 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 loopy

Loop Library Loop Library has two separate but related parts in this repository: The website is the library; Loopy is a companion way to work with it. You can browse or give an agent the website without installing Loopy. Installing Loopy adds the guided workflow, but it does not install or host the website. Agents that do not have Loopy can use the published agent guide, agent instructions, JSON catalog, or plain text catalog directly. Each published loop tells an agent what to do, how to check its work, what to try next, and when to stop. What is a loop? Most prompts ask an agent to do something once. A loop…

read the full loopy 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.

Frequently asked questions

Is Dify or loopy more popular?

Dify has 160,251 GitHub stars and loopy has 3,216. Dify has the larger community by that measure.

Are Dify and loopy free?

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

What is the difference between Dify and loopy?

Dify is written in Python and loopy in JavaScript. 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 loopy?

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