ollama vs sglang

Common questions

What is the difference between ollama and sglang?

ollama: Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.. sglang: SGLang is a high-performance serving framework for large language models and multimodal models.. See the comparison table for live GitHub stats and shared categories.

When should I choose ollama over sglang?

Choose ollama over sglang when ollama is primarily Go; sglang is Python; License: ollama is MIT, sglang is Apache-2.0; SGLang and ollama both serve as frameworks for handling large language models for inference. However, they aim to solve this problem through different underlying mechanisms and optimizations; Tags unique to ollama: gemma, go, golang, llm; Also covers LLM Frameworks; ollama ships Docker support for self-hosted deployment; When you need a framework that supports a wide range of large language models, including Qwen and Gemma, and you prefer using Go for development.

When should I choose sglang over ollama?

Choose sglang over ollama when sglang is primarily Python; ollama is Go; License: sglang is Apache-2.0, ollama is MIT; Requirements: SGLang supports various models including GPT, LLaMA, and Qwen, indicating a broad compatibility with different types of large language models.; SGLang and ollama both serve as frameworks for handling large language models for inference. However, they aim to solve this problem through different underlying mechanisms and optimizations; Tags unique to sglang: attention, blackwell, cuda, diffusion; Use SGLang when you need a framework that supports high-performance serving for large language models and multimodal models, particularly if you are working with models like GPT, LLaMA, or Qwen.

When should I avoid ollama?

If your project is heavily reliant on Python or another language and you prefer not to introduce Go into your tech stack. When you need a framework that is tightly integrated with a specific model or ecosystem that Ollama does not support, such as models that are only available through a different framework or language.

When should I avoid sglang?

Avoid SGLang if your project does not require support for large language models or multimodal models, as its specialized features may not be beneficial. Do not use SGLang if your project is constrained by the Apache-2.0 license, as this may not align with your licensing requirements.

Is ollama or sglang more popular on GitHub?

ollama has more GitHub stars (181,196 vs 36,123). Stars measure visibility, not whether either tool fits your constraints.

Are ollama and sglang open source?

Yes - both are open-source projects on GitHub (ollama: MIT, sglang: Apache-2.0).

Where can I find alternatives to ollama or sglang?

GraphCanon lists graph-backed alternatives at ollama alternatives and sglang alternatives (ollama markdown twin, sglang markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, ollama or sglang?

ollama: Very active. sglang: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for ollama and sglang?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ollama trust report; sglang trust report.