head to head · open source
Ollama vs FastDeploy
Ollama has 181,161 GitHub stars, 17,917 forks, 3,957 open issues and last shipped yesterday. FastDeploy has 3,716 stars, 756 forks, 649 open issues and last shipped 23 days ago. Ollama leads on adoption by 4,775% (181,161 vs 3,716 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.
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Side by side
| Ollama | FastDeploy | |
|---|---|---|
| GitHub stars | ★ 181K | ★ 3.7K |
| License | MIT | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-09-17 | 2026-08-26 |
| Forks | ⑂ 18K | ⑂ 756 |
| 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
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
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 FastDeploy
FastDeploy is a Python inference and deployment toolkit for large language models and vision language models in the PaddlePaddle ecosystem. It serves models such as ERNIE, ERNIE 4.5, ERNIE 4.5 VL, DeepSeek V3, Qwen3 MoE, Qwen3 VL, and PaddleOCR VL 0.9B on accelerators.
read the full FastDeploy overview →
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Frequently asked questions
Is Ollama or FastDeploy more popular?
Ollama has 181,161 GitHub stars and FastDeploy has 3,716. 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 (181,161 stars) or its MIT licence terms. Choose FastDeploy if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.