head to head · open source

graphify vs open-science

graphify has 141,938 GitHub stars, 13,561 forks, 1,350 open issues and last shipped 2 days ago. open-science has 5,435 stars, 551 forks, 40 open issues and last shipped yesterday. graphify leads on adoption by 2,512% (141,938 vs 5,435 stars). graphify is written in Python under Apache-2.0; open-science is written in TypeScript under Apache-2.0. graphify has attracted 10% 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.

graphify ★ 142K open-science ★ 5.4K category AI & Machine Learning

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Side by side

graphify open-science
GitHub stars ★ 142K ★ 5.4K
License Apache-2.0 Apache-2.0
Written in Python TypeScript
Last push 2026-11-03 2026-11-04
Forks ⑂ 14K ⑂ 551
Self-hosting Yes Yes
Data ownership Your server Your server

pick graphify if

  • You weight community size — 142K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full graphify 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 graphify

Read this in other languages 🇺🇸 English 🇨🇳 简体中文 🇯🇵 日本語 🇰🇷 한국어 🇩🇪 Deutsch 🇫🇷 Français 🇪🇸 Español 🇮🇳 हिन्दी 🇧🇷 Português 🇷🇺 Русский 🇸🇦 العربية 🇮🇷 فارسی 🇮🇹 Italiano 🇵🇱 Polski 🇳🇱 Nederlands 🇹🇷 Türkçe 🇺🇦 Українська 🇻🇳 Tiếng Việt 🇮🇩 Bahasa Indonesia 🇸🇪 Svenska 🇬🇷 Ελληνικά 🇷🇴 Română 🇨🇿 Čeština 🇫🇮 Suomi 🇩🇰 Dansk 🇳🇴 Norsk 🇭🇺 Magyar 🇹🇭 ภาษาไทย 🇺🇿 Oʻzbekcha 🇹🇼 繁體中文 🇵🇭 Filipino 🇮🇱 עברית Early access to the graphify platform is open before the public v1 launch: app.graphify.com Type /graphify in your AI coding assistant and it maps your entire project (code…

read the full graphify 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 →

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Frequently asked questions

Is graphify or open-science more popular?

graphify has 141,938 GitHub stars and open-science has 5,435. graphify has the larger community by that measure.

Are graphify and open-science free?

Both are open source. graphify is licensed under Apache-2.0 and open-science under Apache-2.0. Neither carries a licence fee.

What is the difference between graphify and open-science?

graphify 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, graphify or open-science?

Choose graphify if you want the larger community (141,938 stars) or its Apache-2.0 licence terms. Choose open-science if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.