head to head · open source

Ollama vs FastDeploy

Ollama has 185,702 GitHub stars, 18,873 forks, 3,957 open issues and last shipped yesterday. FastDeploy has 3,724 stars, 758 forks, 649 open issues and last shipped 1 months ago. Ollama leads on adoption by 4,887% (185,702 vs 3,724 stars). Ollama is written in Go under MIT; FastDeploy is written in Python under Apache-2.0. Ollama has attracted 10% as many forks as stars, FastDeploy 20%. 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 ★ 186K FastDeploy ★ 3.7K category AI & Machine Learning

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Side by side

Ollama FastDeploy
GitHub stars ★ 186K ★ 3.7K
License MIT Apache-2.0
Written in Go Python
Last push 2026-11-02 2026-09-24
Forks ⑂ 19K ⑂ 758
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 FastDeploy if

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

full FastDeploy 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 FastDeploy

English 简体中文 安装指导 快速入门 支持模型列表 FastDeploy 飞桨大模型高效部署套件 最新活动 [2026 03] FastDeploy v2.5 全新发布! 新增Qwen3 VL与Qwen3 VL MoE模型部署支持,新增W4AFP8量化方法,增强强化学习训练支持能力,包含170+项Bug修复与性能优化,升级全部内容参阅 v2.5 ReleaseNote。 [2026 01] FastDeploy v2.4 : 新增 DeepSeek V3 与 Qwen3 MoE 模型的 PD 分离部署,增强MTP 投机解码能力,全面优化多硬件平台上的 MoE 推理与多模态前缀缓存性能,升级全部内容参阅 v2.4 ReleaseNote。 [2025 11] FastDeploy v2.3 : 新增ERNIE 4.5 VL 28B A3B Thinking与PaddleOCR VL 0.9B两大重磅模型在多硬件平台上的部署支持,进一步优化全方位推理性能,以及带来更多部署功能和易用性的提升,升级全部内容参阅v2.3 ReleaseNote。 [2025 09] FastDeploy v2.2 : HuggingFace生态模型兼容,性能进一步优化,更新增对baidu/ERNIE 21B A3B Thinking支持! [2025 08] FastDeploy v2.1 :全新的KV…

read the full FastDeploy overview →

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Frequently asked questions

Is Ollama or FastDeploy more popular?

Ollama has 185,702 GitHub stars and FastDeploy has 3,724. Ollama has the larger community by that measure.

Are Ollama and FastDeploy free?

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

What is the difference between Ollama and FastDeploy?

Ollama is written in Go and FastDeploy in Python. 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 FastDeploy?

Choose Ollama if you want the larger community (185,702 stars) or its MIT licence terms. Choose FastDeploy if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.