head to head · open source

Ollama vs pegainfer

Ollama has 185,702 GitHub stars, 18,873 forks, 3,957 open issues and last shipped yesterday. pegainfer has 731 stars, 121 forks, 89 open issues and last shipped yesterday. Ollama leads on adoption by 25,304% (185,702 vs 731 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 17%. Ollama 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 ★ 186K pegainfer ★ 731 category AI & Machine Learning

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Side by side

Ollama pegainfer
GitHub stars ★ 186K ★ 731
License MIT Apache-2.0
Written in Go Rust
Last push 2026-11-02 2026-11-02
Forks ⑂ 19K ⑂ 121
Self-hosting Yes Yes
Data ownership Your server Your server

pick Ollama if

  • You weight community size — 186K 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 Start building with open models. Download macOS or download manually Windows or download manually Linux Manual install instructions Docker The official Ollama Docker image ollama/ollama is available on Docker Hub. Libraries ollama python ollama js Community Discord 𝕏 (Twitter) Reddit Get started You'll be prompted to run a model or connect Ollama to your existing agents or applications such as Claude Code , OpenClaw , OpenCode , Codex , Copilot , and more. Coding To launch a specific integration: Supported integrations include Claude Code, Codex, Copilot CLI, DeepSeek Harness, Droid, and OpenCode. AI…

read the full Ollama overview →

About pegainfer

Quickstart · Performance · Models · Architecture · API · Development PegaInfer serves LLMs through an OpenAI compatible API. Each model owns its scheduler, state, and kernels; serving and KV infrastructure are shared. No PyTorch or Python runtime. Quickstart Prebuilt binary · Qwen3 on Linux The Qwen3 only release bundles CUDA 13 and cuBLAS. It requires Linux x86 64 , an NVIDIA GPU with compute capability 8.x–12.x , driver 580+ , glibc 2.35+ , and OpenSSL 3 . Model weights are downloaded separately. Download Qwen3 4B into models/Qwen3 4B , then start the server: The server…

read the full pegainfer overview →

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Frequently asked questions

Is Ollama or pegainfer more popular?

Ollama has 185,702 GitHub stars and pegainfer has 731. 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 (185,702 stars) or its MIT licence terms. Choose pegainfer if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.