head to head · open source

Ollama vs Helicone

Ollama has 181,290 GitHub stars, 17,939 forks, 3,957 open issues and last shipped yesterday. Helicone has 6,165 stars, 672 forks, 156 open issues and last shipped 4 days ago. Ollama leads on adoption by 2,841% (181,290 vs 6,165 stars). Ollama is written in Go under MIT; Helicone is written in TypeScript under Apache-2.0. Ollama has attracted 10% as many forks as stars, Helicone 11%. Ollama was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

Ollama ★ 181K Helicone ★ 6.2K category AI & Machine Learning

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Side by side

Ollama Helicone
GitHub stars ★ 181K ★ 6.2K
License MIT Apache-2.0
Written in Go TypeScript
Last push 2026-09-19 2026-09-16
Forks ⑂ 18K ⑂ 672
Self-hosting Yes Yes
Data ownership Your server Your server

pick Ollama if

  • You weight community size — 181K stars and counting
  • You want the MIT license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full Ollama 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 Ollama

Ollama is a Go based, MIT licensed runtime that downloads and runs open source large language models such as DeepSeek, Qwen, Gemma, GLM, MiniMax and gpt oss locally on a user's own machine, and it is aimed at developers and teams that want model inference without routing prompts through a hosted API.

read the full Ollama 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 Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K ponytail ★ 143K

Related comparisons

openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs odysseus ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs comfyui openclaw vs odysseus openclaw vs lobechat openclaw vs anythingllm openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail

More Machine Learning Infrastructure projects

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

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

Frequently asked questions

Is Ollama or Helicone more popular?

Ollama has 181,290 GitHub stars and Helicone has 6,165. Ollama has the larger community by that measure.

Are Ollama and Helicone free?

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

What is the difference between Ollama and Helicone?

Ollama is written in Go 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, Ollama or Helicone?

Choose Ollama if you want the larger community (181,290 stars) or its MIT licence terms. Choose Helicone if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.