head to head · open source

faiss vs Helicone

faiss has 40,939 GitHub stars, 4,527 forks, 327 open issues and last shipped yesterday. Helicone has 6,165 stars, 672 forks, 156 open issues and last shipped 4 days ago. faiss leads on adoption by 564% (40,939 vs 6,165 stars). faiss is written in C++ under MIT; Helicone is written in TypeScript under Apache-2.0. faiss has attracted 11% as many forks as stars, Helicone 11%. faiss 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.

faiss ★ 41K Helicone ★ 6.2K category AI & Machine Learning

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Side by side

faiss Helicone
GitHub stars ★ 41K ★ 6.2K
License MIT Apache-2.0
Written in C++ TypeScript
Last push 2026-09-19 2026-09-16
Forks ⑂ 4.5K ⑂ 672
Self-hosting Yes Yes
Data ownership Your server Your server

pick faiss if

  • You weight community size — 41K stars and counting
  • You want the MIT license terms
  • Your stack matches C++
  • You value the larger contributor base for long-term maintenance

full faiss profile →

pick Helicone if

  • You want the Helicone 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 Helicone fits your workflow better

full Helicone profile →

About faiss

Faiss is an MIT licensed C++ library for efficient similarity search and clustering of dense vectors, with complete Python and NumPy wrappers, developed primarily at Meta's Fundamental AI Research group, and it is intended for engineers and researchers who need nearest neighbour search over vector sets that range from small collections to sets that possibly do not fit in RAM.

read the full faiss overview →

About Helicone

Helicone is an open source AI gateway and LLM observability platform for AI engineers who need to monitor, evaluate, and experiment with applications built on large language models.

read the full Helicone overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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More Machine Learning Infrastructure projects

Compare either of these against the rest of the Machine Learning Infrastructure field.

faiss vs Ollama faiss vs llama.cpp faiss vs vllm faiss vs GPT4All faiss vs llama_index faiss vs LocalAI faiss vs PageIndex faiss vs Langfuse faiss vs cognee faiss vs taipy faiss vs dagster faiss vs zvec

Frequently asked questions

Is faiss or Helicone more popular?

faiss has 40,939 GitHub stars and Helicone has 6,165. faiss has the larger community by that measure.

Are faiss and Helicone free?

Both are open source. faiss is licensed under MIT and Helicone under Apache-2.0. Neither carries a licence fee.

What is the difference between faiss and Helicone?

faiss is written in C++ and Helicone 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, faiss or Helicone?

Choose faiss if you want the larger community (40,939 stars) or its MIT licence terms. Choose Helicone if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.