--- title: "ollama vs EAGLE" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ollama-ollama-vs-safeailab-eagle" tools: ["ollama-ollama", "safeailab-eagle"] --- # ollama vs EAGLE *GraphCanon updated Jul 11, 2026* ## Verdict Pick ollama when ollama is primarily Go; EAGLE is Python; pick EAGLE when eAGLE is primarily Python; ollama is Go. [ollama](https://ollama.com) reports 176k GitHub stars, 17k forks, and 3.4k open issues, last pushed Jul 10, 2026. [EAGLE](https://arxiv.org/pdf/2503.01840) has 2.5k stars, 292 forks, and 101 open issues, last pushed Feb 20, 2026. Figures are from public GitHub metadata via [ollama's repository](https://github.com/ollama/ollama) and [EAGLE's repository](https://github.com/SafeAILab/EAGLE). | | [ollama](/tools/ollama-ollama.md) | [EAGLE](/tools/safeailab-eagle.md) | | --- | --- | --- | | Tagline | Get up and running with various large language models using Ollama. | Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25). | | Stars | 175,936 | 2,450 | | Forks | 16,939 | 292 | | Open issues | 3,423 | 101 | | Language | Go | Python | | Adopt for | Ollama is a Go-based platform that provides tools for deploying and managing large language models (LLMs) like Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma using docker images, package managers, cloud and | - | | Persona | - | - | | Runtime | - | - | | License | MIT license - permissive open-source licensing that allows for broad use of the tool. | Other | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ollama](/tools/ollama-ollama.md) | [EAGLE](/tools/safeailab-eagle.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 1d | 141d | | Open issues (now) | 3.4k | 101 | | Security scan | 52 low (52 low) | No lockfile | | Full report | [trust report](/tools/ollama-ollama/trust.md) | [trust report](/tools/safeailab-eagle/trust.md) | ## Decision facts: ollama - **Hosting:** self hosted - Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers. - **Adopt for:** Ollama is a Go-based platform that provides tools for deploying and managing large language models (LLMs) like Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma using docker images, package managers, cloud and - **License detail:** MIT license - permissive open-source licensing that allows for broad use of the tool. ## Choose when ### Choose ollama if… - ollama is primarily Go; EAGLE is Python. - License: ollama is MIT, EAGLE is Other. - Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers. - Tags unique to ollama: deepseek, gemma, glm, go. - ollama ships Docker support for self-hosted deployment. - Use Ollama when you require a multi-model platform supporting several large language models such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and intend to deploy in various cloud or ### Choose EAGLE if… - EAGLE is primarily Python; ollama is Go. - License: EAGLE is Other, ollama is MIT. - Tags unique to EAGLE: large-language-models, llm-inference, python, speculative-decoding. ## When NOT to use ollama - Avoid using Ollama if you are only interested in a single LLM deployment and seek simplified, model-specific solutions with tailored support rather than a comprehensive multi-model platform. ## When NOT to use EAGLE - Last GitHub push was 142 days ago (slowing maintenance, Feb 20, 2026). Validate activity before betting a new project on EAGLE. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between ollama and EAGLE? ollama: Get up and running with various large language models using Ollama.. EAGLE: Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).. See the comparison table for live GitHub stats and shared categories. ### When should I choose ollama over EAGLE? Choose ollama over EAGLE when ollama is primarily Go; EAGLE is Python; License: ollama is MIT, EAGLE is Other; Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers; Tags unique to ollama: deepseek, gemma, glm, go; ollama ships Docker support for self-hosted deployment; Use Ollama when you require a multi-model platform supporting several large language models such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and intend to deploy in various cloud or. ### When should I choose EAGLE over ollama? Choose EAGLE over ollama when EAGLE is primarily Python; ollama is Go; License: EAGLE is Other, ollama is MIT; Tags unique to EAGLE: large-language-models, llm-inference, python, speculative-decoding. ### When should I avoid ollama? Avoid using Ollama if you are only interested in a single LLM deployment and seek simplified, model-specific solutions with tailored support rather than a comprehensive multi-model platform. ### When should I avoid EAGLE? Last GitHub push was 142 days ago (slowing maintenance, Feb 20, 2026). Validate activity before betting a new project on EAGLE. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is ollama or EAGLE more popular on GitHub? ollama has more GitHub stars (175,936 vs 2,450). Stars measure visibility, not whether either tool fits your constraints. ### Are ollama and EAGLE open source? Yes - both are open-source projects on GitHub (ollama: MIT, EAGLE: Other). ### Where can I find alternatives to ollama or EAGLE? GraphCanon lists graph-backed alternatives at [ollama alternatives](/tools/ollama-ollama/alternatives) and [EAGLE alternatives](/tools/safeailab-eagle/alternatives) ([ollama markdown twin](/tools/ollama-ollama/alternatives.md), [EAGLE markdown twin](/tools/safeailab-eagle/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-vs-safeailab-eagle.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ollama or EAGLE? ollama: Very active. EAGLE: Slowing. 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 EAGLE? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ollama trust report](/tools/ollama-ollama/trust); [EAGLE trust report](/tools/safeailab-eagle/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ollama-ollama`](/api/graphcanon/graph?tool=ollama-ollama) - 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/_