--- title: "ollama-python vs exllama" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ollama-ollama-python-vs-turboderp-exllama" tools: ["ollama-ollama-python", "turboderp-exllama"] --- # ollama-python vs exllama *GraphCanon updated Sep 20, 2026* ## Verdict Pick ollama-python if ollama Python Library simplifies integration of Python projects with Ollama for chat interactions, response streaming, and cloud model usage; pick exllama if exLlama provides a memory-efficient implementation of the LLaMa model with support for quantized weights, primarily aimed at users with NVIDIA GPUs from the 30-series onwards. [ollama-python](https://ollama.com) reports 11k GitHub stars, 1.2k forks, and 204 open issues, last pushed Sep 16, 2026. [exllama](https://github.com/turboderp/exllama) has 2.9k stars, 220 forks, and 65 open issues, last pushed Sep 30, 2023. Figures are from public GitHub metadata via [ollama-python's repository](https://github.com/ollama/ollama-python) and [exllama's repository](https://github.com/turboderp/exllama). | | [ollama-python](/tools/ollama-ollama-python.md) | [exllama](/tools/turboderp-exllama.md) | | --- | --- | --- | | Tagline | Python library for integrating projects with Ollama. | Memory-efficient rewrite of HF transformers for Llama with quantized weights | | Stars | 10,539 | 2,943 | | Forks | 1,175 | 220 | | Open issues | 204 | 65 | | Language | Python | Python | | Adopt for | Ollama Python Library simplifies integration of Python projects with Ollama for chat interactions, response streaming, and cloud model usage. | ExLlama provides a memory-efficient implementation of the LLaMa model with support for quantized weights, primarily aimed at users with NVIDIA GPUs from the 30-series onwards. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ollama-python](/tools/ollama-ollama-python.md) | [exllama](/tools/turboderp-exllama.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 4d | 1072d | | Open issues (now) | 204 | 65 | | Stars delta | +137 (30d) | +6 (30d) | | Open issues delta | +21 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/ollama-ollama-python/trust.md) | [trust report](/tools/turboderp-exllama/trust.md) | ## Decision facts: ollama-python - **Adopt for:** Ollama Python Library simplifies integration of Python projects with Ollama for chat interactions, response streaming, and cloud model usage. ## Decision facts: exllama - **Adopt for:** ExLlama provides a memory-efficient implementation of the LLaMa model with support for quantized weights, primarily aimed at users with NVIDIA GPUs from the 30-series onwards. ## Choose when ### Choose ollama-python if… - Tags unique to ollama-python: ai-integration, chat, ollama. - When you need to integrate Python applications with models hosted on Ollama - More GitHub stars (11k vs 2.9k) - visibility, not fit. ### Choose exllama if… - Tags unique to exllama: docker, llama model, memory-efficient, nvidia gpu. - exllama ships Docker support for self-hosted deployment. - - When deploying LLaMa models on NVIDIA GPUs from the 30-series or later that have strong FP16 support. ## When NOT to use ollama-python - If your setup does not support or require the integration of Python with Ollama - In projects that require direct model hosting without external services like Ollama - If you prefer using competitive libraries that offer more control over local processing ## When NOT to use exllama - - If you are operating older GPUs such as Pascal series, which lack robust FP16 support; alternatives like AutoGPTQ might perform better. - - In scenarios that involve AMD GPU hardware (due to limited testing and optimization efforts). ## Common questions ### What is the difference between ollama-python and exllama? ollama-python: Python library for integrating projects with Ollama.. exllama: Memory-efficient rewrite of HF transformers for Llama with quantized weights. See the comparison table for live GitHub stats and shared categories. ### When should I choose ollama-python over exllama? Choose ollama-python over exllama when Tags unique to ollama-python: ai-integration, chat, ollama; When you need to integrate Python applications with models hosted on Ollama; More GitHub stars (11k vs 2.9k) - visibility, not fit. ### When should I choose exllama over ollama-python? Choose exllama over ollama-python when Tags unique to exllama: docker, llama model, memory-efficient, nvidia gpu; exllama ships Docker support for self-hosted deployment; - When deploying LLaMa models on NVIDIA GPUs from the 30-series or later that have strong FP16 support. ### When should I avoid ollama-python? If your setup does not support or require the integration of Python with Ollama In projects that require direct model hosting without external services like Ollama If you prefer using competitive libraries that offer more control over local processing ### When should I avoid exllama? - If you are operating older GPUs such as Pascal series, which lack robust FP16 support; alternatives like AutoGPTQ might perform better. - In scenarios that involve AMD GPU hardware (due to limited testing and optimization efforts). ### Is ollama-python or exllama more popular on GitHub? ollama-python has more GitHub stars (10,539 vs 2,943). Stars measure visibility, not whether either tool fits your constraints. ### Are ollama-python and exllama open source? Yes - both are open-source projects on GitHub (ollama-python: MIT, exllama: MIT). ### Where can I find alternatives to ollama-python or exllama? GraphCanon lists graph-backed alternatives at [ollama-python alternatives](/tools/ollama-ollama-python/alternatives) and [exllama alternatives](/tools/turboderp-exllama/alternatives) ([ollama-python markdown twin](/tools/ollama-ollama-python/alternatives.md), [exllama markdown twin](/tools/turboderp-exllama/alternatives.md)), 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](/compare/ollama-ollama-python-vs-turboderp-exllama.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ollama-python or exllama? ollama-python: Very active. exllama: Dormant. 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-python and exllama? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ollama-python trust report](/tools/ollama-ollama-python/trust); [exllama trust report](/tools/turboderp-exllama/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ollama-ollama-python`](/api/graphcanon/graph?tool=ollama-ollama-python) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_