head to head · open source

Dify vs open-science

Dify has 160,364 GitHub stars, 25,361 forks, 1,067 open issues and last shipped today. open-science has 5,435 stars, 551 forks, 40 open issues and last shipped today. Dify leads on adoption by 2,851% (160,364 vs 5,435 stars). Dify is written in Python under a custom or non-standard licence; open-science is written in TypeScript under Apache-2.0. Dify has attracted 16% as many forks as stars, open-science 10%. open-science 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.

Dify ★ 160K open-science ★ 5.4K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

Dify open-science
GitHub stars ★ 160K ★ 5.4K
License Custom / other Apache-2.0
Written in Python TypeScript
Last push 2026-11-04 2026-11-04
Forks ⑂ 25K ⑂ 551
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 open-science if

  • You want the open-science feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches TypeScript
  • You evaluated both and open-science fits your workflow better

full open-science 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 open-science

AIPOCH Open Science AI research workbench for reproducible science — open source, local first, and model agnostic. AIPOCH Open Science is an AI research workbench for scientists and researchers, developed by AIPOCH with an open source, local first, model agnostic approach. It enables reproducible, inspectable research with scientific AI agents, Python and R execution, scientific data connectors, and cross platform support for macOS, Windows, and Linux. Create a project, describe your research goal in plain language, and let the agents read files, search the web, run code, query scientific data sources, and…

read the full open-science 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 open-science more popular?

Dify has 160,364 GitHub stars and open-science has 5,435. Dify has the larger community by that measure.

Are Dify and open-science free?

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

What is the difference between Dify and open-science?

Dify is written in Python and open-science in TypeScript. 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 open-science?

Choose Dify if you want the larger community (160,364 stars) or its Custom / other licence terms. Choose open-science if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.