head to head · open source
Ollama vs Flide
Ollama has 186,993 GitHub stars, 19,088 forks, 3,957 open issues and last shipped yesterday. Flide has 505 stars, 33 forks, 2 open issues and last shipped 3 days ago. Ollama leads on adoption by 36,928% (186,993 vs 505 stars). Ollama is written in Go under MIT; Flide is written in Python under Apache-2.0. Ollama has attracted 10% as many forks as stars, Flide 7%. Ollama was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (gemma, 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 | Flide | |
|---|---|---|
| GitHub stars | ★ 187K | ★ 505 |
| License | MIT | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-11-14 | 2026-11-12 |
| Forks | ⑂ 19K | ⑂ 33 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Ollama if
- You weight community size — 187K stars and counting
- You want the MIT license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick Flide if
- You want the Flide 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 Flide fits your workflow better
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 Flide
English · 简体中文 · 日本語 · 한국어 News · Quick start · Models · Options Flide is fast inference infrastructure for Jev style decision models. With exact state forking it is up to 9.5 times faster than vLLM and SGLang, and every answer is the one the model gives the question alone. It serves the Jev /v1/systemone API. 🔥 News 🔥 2026 11 12 We added d1 3B from LiquidAI in Flide 0.1.15, and Gemma 4 now runs in FP8 with quantize fp8 , so Gemma 4 12B fits one 24 GB card. 🔥 2026 11 12 We added GLiDE 9B and GLiDE 27B in Flide 0.1.14, and GLiDE 27B also reads images. 🔥 2026 11 11 We added FlexDM LoRA v2.1, Sieve 31B v3 and…
read the full Flide overview →
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Frequently asked questions
Is Ollama or Flide more popular?
Ollama has 186,993 GitHub stars and Flide has 505. Ollama has the larger community by that measure.
Are Ollama and Flide free?
Both are open source. Ollama is licensed under MIT and Flide under Apache-2.0. Neither carries a licence fee.
What is the difference between Ollama and Flide?
Ollama is written in Go and Flide 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 Flide?
Choose Ollama if you want the larger community (186,993 stars) or its MIT licence terms. Choose Flide if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.