
Awesome Open Source AI
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React Complex Tree
Pagedraw - Beta release
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 roundups. We solve this by hand-curating projects across 8 key categories: Core Frameworks & Libraries, Open Foundation Models, Inference Engines & Serving, Agentic AI & Multi-Agent Systems, RAG & Knowledge, Generative Media Tools, Training & Fine-tuning, and MLOps/LLMOps.
Each project includes GitHub stats, license info, and concise descriptions. Discover open source alternatives to commercial AI tools without digging through scattered repos.
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Awesome Open Source AI
React Complex TreeAwesome Open Source AI's answer
A curated directory exclusively for open source AI โ 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.
Based on our record, React Complex Tree seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
You can find the source code for it at https://github.com/lukasbach/react-complex-tree, and documentation and examples at https://rct.lukasbach.com. Source: over 3 years ago
More examples on the customizability, in-depth documentation and a typing API is available at the documentation homepage: https://rct.lukasbach.com/. Source: about 5 years ago
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