head to head · open source

Ollama vs pegainfer

Ollama has 181,161 GitHub stars, 17,917 forks, 3,957 open issues and last shipped yesterday. pegainfer has 704 stars, 107 forks, 89 open issues and last shipped yesterday. Ollama leads on adoption by 25,633% (181,161 vs 704 stars). Ollama is written in Go under MIT; pegainfer is written in Rust under Apache-2.0. Ollama has attracted 10% as many forks as stars, pegainfer 15%. pegainfer was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (deepseek, 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 pegainfer ★ 704 category AI & Machine Learning

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Side by side

Ollama pegainfer
GitHub stars ★ 181K ★ 704
License MIT Apache-2.0
Written in Go Rust
Last push 2026-09-17 2026-09-17
Forks ⑂ 18K ⑂ 107
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 pegainfer if

  • You want the pegainfer feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Rust
  • You evaluated both and pegainfer fits your workflow better

full pegainfer 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 pegainfer

PegaInfer is a pure Rust and CUDA large language model inference engine that serves models ranging from Qwen3 to Kimi K2 behind an OpenAI compatible API, with no PyTorch or Python runtime in the default serving path.

read the full pegainfer overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K ponytail ★ 141K

Related comparisons

ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai ollama vs pageindex ollama vs langfuse llama-cpp vs vllm openclaw vs hermes-agent openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm openclaw vs cherry-studio openclaw vs nanobot openclaw vs jan openclaw vs librechat dify vs langchain dify vs ponytail langchain vs ponytail dify vs graphify langchain vs graphify ponytail vs graphify dify vs claude-mem dify vs ragflow

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 PageIndex Ollama vs Langfuse Ollama vs cognee Ollama vs taipy Ollama vs dagster Ollama vs zvec Ollama vs langchain4j

Frequently asked questions

Is Ollama or pegainfer more popular?

Ollama has 181,161 GitHub stars and pegainfer has 704. Ollama has the larger community by that measure.

Are Ollama and pegainfer free?

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

What is the difference between Ollama and pegainfer?

Ollama is written in Go and pegainfer in Rust. 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 pegainfer?

Choose Ollama if you want the larger community (181,161 stars) or its MIT licence terms. Choose pegainfer if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.