ollama vs transformers

Glm rivals. Both tagged glm, gemma, deepseek. Six rounds of real GitHub data, an AI referee, and the crowd picks a side.

Red corner

Blue corner

ollama/ollama: 186,644 stars, Go. Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
huggingface/transformers: 168,811 stars, Python. 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models,…

ollama vs transformers: tale of the tape

GitHub data as of November 11, 2026

ollama has 1.1 times as many GitHub stars as transformers (186,644 vs 168,811). In the last 6 days, ollama gained more stars: +655 (+0.4%) against +243 (+0.1%) for transformers. transformers saw more development in the last 52 weeks with 4,727 commits, against 1,165 for ollama. transformers is the older project (created October 2018), ollama started in June 2023. ollama is written mainly in Go, transformers in Python.

	ollama/ollama	huggingface/transformers
Stars	186,644	168,811
Stars gained, last 6 days	+655	+243
Growth, last 6 days	+0.4%	+0.1%
Avg. stars per day since creation	151	58
Forks	19,013	35,187
Commits, last 52 weeks	1,165	4,727
Open issues	4,619	1,073
Best Repocharts rank today	#2 in Go	#13 in Python
Language	Go	Python
License	MIT	Apache-2.0
Created	Jun 26, 2023	Oct 29, 2018
Last push	Nov 11, 2026	Nov 11, 2026

Quick answers

Which is more popular, ollama or transformers?

ollama has 1.1 times as many GitHub stars as transformers (186,644 vs 168,811) (Repocharts data as of November 11, 2026).

Which is growing faster, ollama or transformers?

In the last 6 days, ollama gained more stars: +655 (+0.4%) against +243 (+0.1%) for transformers.

Which is more actively developed?

transformers saw more development in the last 52 weeks with 4,727 commits, against 1,165 for ollama.

What languages are ollama and transformers written in?

ollama is written mainly in Go, transformers in Python.

How does RepoClash compare ollama and transformers?

RepoClash scores both repositories in six rounds (popularity, momentum, activity, community, maintenance and freshness) from public GitHub data, adds an AI referee's verdict and lets developers vote for their favorite. Star counts are updated daily.