7,363 open-source and SaaS tools, with GitHub stats refreshed every day.

168 tools · 86 open-source · 82 SaaS

The best AI infrastructure tools. Ranked by real activity.

Every AI infrastructure tool on Enlisted, ordered by GitHub stars, growth and recent releases. Open-source and SaaS options side by side.

The top-ranked open-source AI infrastructure tool on Enlisted is Ollama (182k GitHub stars), followed by Dify and Langflow. Among SaaS products, other tools on Enlisted are most often compared with Weights & Biases, Amazon SageMaker and LangSmith.

Enlisted lists 168 AI infrastructure tools: 86 open source and 82 SaaS. 74 of the open-source ones can be self-hosted on your own server or computer. The most common open-source licences here are Apache-2.0 (42 tools), MIT (22) and AGPL-3.0 (6). The open-source ones are most often listed as alternatives to Weights & Biases, LangSmith and Pinecone.

Last updated October 3, 2026 · ranked by GitHub stars, growth and recent commits

The top 48 of 168 AI infrastructure tools

AI infrastructure tools: questions

What is the best open-source AI infrastructure tool?
Ollama is the top-ranked open-source AI infrastructure tool on Enlisted, with 182k GitHub stars. It is followed by Dify, Langflow and llama.cpp.
What are the best free AI infrastructure tools?
The top-ranked open-source AI infrastructure tools with a standard licence are Ollama (MIT), Langflow (MIT) and llama.cpp (MIT), so their code is free to use. 37 of the 82 SaaS products here have a free plan, including Weights & Biases, LangSmith and Portkey.
Which AI infrastructure tools can be self-hosted?
74 of the 86 open-source AI infrastructure tools on Enlisted can be self-hosted on your own server or computer; the top-ranked are Ollama, Dify and Langflow.
How are these AI infrastructure tools ranked?
Open-source tools are ordered by a score built from GitHub stars, star growth over the last 30 days and how recently the code changed; 65 of the 86 had new commits or a release in the last 30 days. SaaS products have no public repository, so they get a fixed baseline score. GitHub data is refreshed daily, and nobody can pay to move up.