--- title: "segment-anything vs serve" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/facebookresearch-segment-anything-vs-pytorch-serve" tools: ["facebookresearch-segment-anything", "pytorch-serve"] --- # segment-anything vs serve *GraphCanon updated Jul 12, 2026* ## Verdict Pick segment-anything when segment-anything is primarily Jupyter Notebook; serve is Java; pick serve when serve is primarily Java; 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. [serve](https://pytorch.org/serve/) has 4.3k stars, 883 forks, and 443 open issues, last pushed Aug 6, 2025. Figures are from public GitHub metadata via [segment-anything's repository](https://github.com/facebookresearch/segment-anything) and [serve's repository](https://github.com/pytorch/serve). | | [segment-anything](/tools/facebookresearch-segment-anything.md) | [serve](/tools/pytorch-serve.md) | | --- | --- | --- | | Tagline | Repository providing code for running inference with the SegmentAnything Model (SAM) | Serve, optimize and scale PyTorch models in production | | Stars | 54,520 | 4,350 | | Forks | 6,354 | 883 | | Open issues | 595 | 443 | | Language | Jupyter Notebook | Java | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Model Training, Inference & Serving | Model Training, LLM Frameworks, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [segment-anything](/tools/facebookresearch-segment-anything.md) | [serve](/tools/pytorch-serve.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Archived (8%) | | Days since push | 661d | 339d | | Archived on GitHub | No | Yes | | Open issues (now) | 595 | 443 | | Full report | [trust report](/tools/facebookresearch-segment-anything/trust.md) | [trust report](/tools/pytorch-serve/trust.md) | ## Shared compatibility - **Python**: [segment-anything](/tools/facebookresearch-segment-anything.md) - Python runtime; [serve](/tools/pytorch-serve.md) - Python runtime ## Choose when ### Choose segment-anything if… - segment-anything is primarily Jupyter Notebook; serve is Java. - Tags unique to segment-anything: image processing, notebooks, segmentation, inference. - More GitHub stars (55k vs 4.3k) - visibility, not fit. ### Choose serve if… - serve is primarily Java; segment-anything is Jupyter Notebook. - Tags unique to serve: deep-learning, gpu, machine-learning, docker. - Also covers 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. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## When NOT to use serve - serve is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between segment-anything and serve? segment-anything: Repository providing code for running inference with the SegmentAnything Model (SAM). serve: Serve, optimize and scale PyTorch models in production. See the comparison table for live GitHub stats and shared categories. ### When should I choose segment-anything over serve? Choose segment-anything over serve when segment-anything is primarily Jupyter Notebook; serve is Java; Tags unique to segment-anything: image processing, notebooks, segmentation, inference; More GitHub stars (55k vs 4.3k) - visibility, not fit. ### When should I choose serve over segment-anything? Choose serve over segment-anything when serve is primarily Java; segment-anything is Jupyter Notebook; Tags unique to serve: deep-learning, gpu, machine-learning, docker; Also covers 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. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### When should I avoid serve? serve is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is segment-anything or serve more popular on GitHub? segment-anything has more GitHub stars (54,520 vs 4,350). Stars measure visibility, not whether either tool fits your constraints. ### Are segment-anything and serve open source? Yes - both are open-source projects on GitHub (segment-anything: Apache-2.0, serve: Apache-2.0). ### Where can I find alternatives to segment-anything or serve? GraphCanon lists graph-backed alternatives at [segment-anything alternatives](/tools/facebookresearch-segment-anything/alternatives) and [serve alternatives](/tools/pytorch-serve/alternatives) ([segment-anything markdown twin](/tools/facebookresearch-segment-anything/alternatives.md), [serve markdown twin](/tools/pytorch-serve/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-pytorch-serve.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, segment-anything or serve? segment-anything: Dormant. serve: Archived. 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 serve? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [segment-anything trust report](/tools/facebookresearch-segment-anything/trust); [serve trust report](/tools/pytorch-serve/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/_