--- title: "segment-anything vs openmodelz" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/facebookresearch-segment-anything-vs-tensorchord-openmodelz" tools: ["facebookresearch-segment-anything", "tensorchord-openmodelz"] --- # segment-anything vs openmodelz *GraphCanon updated Jul 12, 2026* ## Verdict Pick segment-anything when segment-anything is primarily Jupyter Notebook; openmodelz is Go; pick openmodelz when openmodelz is primarily Go; segment-anything is Jupyter Notebook. [segment-anything](https://github.com/facebookresearch/segment-anything) reports 55k GitHub stars, 6.4k forks, and 595 open issues, last pushed Sep 18, 2024. [openmodelz](https://docs.open.modelz.ai) has 281 stars, 26 forks, and 23 open issues, last pushed Nov 3, 2023. Figures are from public GitHub metadata via [segment-anything's repository](https://github.com/facebookresearch/segment-anything) and [openmodelz's repository](https://github.com/tensorchord/openmodelz). | | [segment-anything](/tools/facebookresearch-segment-anything.md) | [openmodelz](/tools/tensorchord-openmodelz.md) | | --- | --- | --- | | Tagline | Repository providing code for running inference with the SegmentAnything Model (SAM) | Autoscale LLM (vLLM, SGLang, LMDeploy) inferences on Kubernetes (and others) | | Stars | 54,520 | 281 | | Forks | 6,354 | 26 | | Open issues | 595 | 23 | | Language | Jupyter Notebook | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Inference & Serving, Model Training | Computer Vision, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [segment-anything](/tools/facebookresearch-segment-anything.md) | [openmodelz](/tools/tensorchord-openmodelz.md) | | --- | --- | --- | | Days since push | 661d | 981d | | Open issues (now) | 595 | 23 | | Security scan | No lockfile | 106 low (106 low) | | Full report | [trust report](/tools/facebookresearch-segment-anything/trust.md) | [trust report](/tools/tensorchord-openmodelz/trust.md) | ## Shared compatibility - **Python**: [segment-anything](/tools/facebookresearch-segment-anything.md) - Python runtime; [openmodelz](/tools/tensorchord-openmodelz.md) - Python runtime ## Choose when ### Choose segment-anything if… - segment-anything is primarily Jupyter Notebook; openmodelz is Go. - Tags unique to segment-anything: image processing, notebooks, segmentation. - Also covers Model Training. ### Choose openmodelz if… - openmodelz is primarily Go; segment-anything is Jupyter Notebook. - Tags unique to openmodelz: cluster-manager, go, hacktoberfest, llm. - Also covers Computer Vision, LLM Frameworks. ## When NOT to use segment-anything - Last GitHub push was 661 days ago (dormant maintenance, Sep 18, 2024). Validate activity before betting a new project on segment-anything. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## When NOT to use openmodelz - Last GitHub push was 982 days ago (dormant maintenance, Nov 3, 2023). Validate activity before betting a new project on openmodelz. - 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 segment-anything and openmodelz? segment-anything: Repository providing code for running inference with the SegmentAnything Model (SAM). openmodelz: Autoscale LLM (vLLM, SGLang, LMDeploy) inferences on Kubernetes (and others). See the comparison table for live GitHub stats and shared categories. ### When should I choose segment-anything over openmodelz? Choose segment-anything over openmodelz when segment-anything is primarily Jupyter Notebook; openmodelz is Go; Tags unique to segment-anything: image processing, notebooks, segmentation; Also covers Model Training. ### When should I choose openmodelz over segment-anything? Choose openmodelz over segment-anything when openmodelz is primarily Go; segment-anything is Jupyter Notebook; Tags unique to openmodelz: cluster-manager, go, hacktoberfest, llm; Also covers Computer Vision, LLM Frameworks. ### When should I avoid segment-anything? Last GitHub push was 661 days ago (dormant maintenance, Sep 18, 2024). Validate activity before betting a new project on segment-anything. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### When should I avoid openmodelz? Last GitHub push was 982 days ago (dormant maintenance, Nov 3, 2023). Validate activity before betting a new project on openmodelz. 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 segment-anything or openmodelz more popular on GitHub? segment-anything has more GitHub stars (54,520 vs 281). Stars measure visibility, not whether either tool fits your constraints. ### Are segment-anything and openmodelz open source? Yes - both are open-source projects on GitHub (segment-anything: Apache-2.0, openmodelz: Apache-2.0). ### Where can I find alternatives to segment-anything or openmodelz? GraphCanon lists graph-backed alternatives at [segment-anything alternatives](/tools/facebookresearch-segment-anything/alternatives) and [openmodelz alternatives](/tools/tensorchord-openmodelz/alternatives) ([segment-anything markdown twin](/tools/facebookresearch-segment-anything/alternatives.md), [openmodelz markdown twin](/tools/tensorchord-openmodelz/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/facebookresearch-segment-anything-vs-tensorchord-openmodelz.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, segment-anything or openmodelz? segment-anything: Dormant. openmodelz: 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 segment-anything and openmodelz? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [segment-anything trust report](/tools/facebookresearch-segment-anything/trust); [openmodelz trust report](/tools/tensorchord-openmodelz/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=facebookresearch-segment-anything`](/api/graphcanon/graph?tool=facebookresearch-segment-anything) - 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/_