head to head · open source

Ollama vs envd

Ollama has 181,161 GitHub stars, 17,917 forks, 3,957 open issues and last shipped yesterday. envd has 2,230 stars, 168 forks, 139 open issues and last shipped 2 months ago. Ollama leads on adoption by 8,024% (181,161 vs 2,230 stars). Ollama is written in Go under MIT; envd is written in Go under Apache-2.0. Ollama has attracted 10% as many forks as stars, envd 8%. Ollama was the more recently maintained of the two, and both are self-hostable with no licence fee.

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 envd ★ 2.2K category AI & Machine Learning

← all 8884 open source comparisons

Side by side

Ollama envd
GitHub stars ★ 181K ★ 2.2K
License MIT Apache-2.0
Written in Go Go
Last push 2026-09-17 2026-07-25
Forks ⑂ 18K ⑂ 168
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 envd if

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

full envd 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 envd

envd is a command line tool for creating container based development environments for AI and machine learning work. It lives in the AI & Machine Learning / Machine Learning Infrastructure ecosystem and is written in Go under the Apache 2.0 license. The project is presented as a reproducible development environment for humans and agents, with topics such as buildkit, docker, llmops, mlops, model serving, code agent, and codex.

read the full envd 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 envd more popular?

Ollama has 181,161 GitHub stars and envd has 2,230. Ollama has the larger community by that measure.

Are Ollama and envd free?

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

What is the difference between Ollama and envd?

Ollama is written in Go and envd in Go. 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 envd?

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