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Browse a curated registry of open source AI repositories across models, tooling, infrastructure, evaluation, and interfaces.
Website, pricing, platforms and company facts side by side.
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| Website | codegres.org | awesomeosai.com |
| Pricing | — | |
| Company | — | 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Codegres.org yet.
A curated directory of 200+ open source AI and ML projects, organized by category for developers to discover the best tools. Finding the right open source AI tool is harder than ever. GitHub stars don't tell the full story, and discovery is scattered across Reddit threads, Twitter posts, and blog...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Codegres.org and Awesome Open Source AI.
Awesome Open Source AI's answer:
A curated directory exclusively for open source AI — no paid tools, no SaaS, just freely available code you can self-host and modify.
Awesome Open Source AI's answer:
Next.js, React, Tailwind CSS
Awesome Open Source AI's answer:
Built out of frustration trying to find quality open source AI tools buried under endless "Top 50 AI Tools" lists that were 90% paid SaaS products.
Awesome Open Source AI's answer:
AI developers, ML engineers, indie hackers, and technical teams who want to build with open source rather than rely on proprietary services.
Awesome Open Source AI's answer:
Unlike general AI directories that mix free and paid tools, we filter everything by open source license. You get self-hostable alternatives to expensive APIs, full code transparency, and no vendor lock-in.
Awesome Open Source AI's answer:
Individual developers, open source contributors, and small technical teams building AI-powered applications without enterprise budgets.
Share your experience with using Codegres.org and Awesome Open Source AI. For example, how are they different and which one is better?