--- title: "segment-anything vs LMFlow" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/facebookresearch-segment-anything-vs-optimalscale-lmflow" tools: ["facebookresearch-segment-anything", "optimalscale-lmflow"] --- # segment-anything vs LMFlow *GraphCanon updated Jul 12, 2026* ## Verdict Pick segment-anything when segment-anything is primarily Jupyter Notebook; LMFlow is Python; pick LMFlow when lMFlow is primarily Python; 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. [LMFlow](https://optimalscale.github.io/LMFlow/) has 8.5k stars, 828 forks, and 87 open issues, last pushed May 22, 2026. Figures are from public GitHub metadata via [segment-anything's repository](https://github.com/facebookresearch/segment-anything) and [LMFlow's repository](https://github.com/OptimalScale/LMFlow). | | [segment-anything](/tools/facebookresearch-segment-anything.md) | [LMFlow](/tools/optimalscale-lmflow.md) | | --- | --- | --- | | Tagline | Repository providing code for running inference with the SegmentAnything Model (SAM) | An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All. | | Stars | 54,520 | 8,483 | | Forks | 6,354 | 828 | | Open issues | 595 | 87 | | Language | Jupyter Notebook | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Inference & Serving, Model Training | Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [segment-anything](/tools/facebookresearch-segment-anything.md) | [LMFlow](/tools/optimalscale-lmflow.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 661d | 50d | | Open issues (now) | 595 | 87 | | Security scan | No lockfile | 74 low (74 low) | | Full report | [trust report](/tools/facebookresearch-segment-anything/trust.md) | [trust report](/tools/optimalscale-lmflow/trust.md) | ## Shared compatibility - **Python**: [segment-anything](/tools/facebookresearch-segment-anything.md) - Python runtime; [LMFlow](/tools/optimalscale-lmflow.md) - Python runtime ## Choose when ### Choose segment-anything if… - segment-anything is primarily Jupyter Notebook; LMFlow is Python. - Tags unique to segment-anything: image processing, inference, notebooks, segmentation. - More GitHub stars (55k vs 8.5k) - visibility, not fit. ### Choose LMFlow if… - LMFlow is primarily Python; segment-anything is Jupyter Notebook. - Tags unique to LMFlow: chatgpt, deep-learning, instruction-following, language-model. - 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. - 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 LMFlow - 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. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between segment-anything and LMFlow? segment-anything: Repository providing code for running inference with the SegmentAnything Model (SAM). LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.. See the comparison table for live GitHub stats and shared categories. ### When should I choose segment-anything over LMFlow? Choose segment-anything over LMFlow when segment-anything is primarily Jupyter Notebook; LMFlow is Python; Tags unique to segment-anything: image processing, inference, notebooks, segmentation; More GitHub stars (55k vs 8.5k) - visibility, not fit. ### When should I choose LMFlow over segment-anything? Choose LMFlow over segment-anything when LMFlow is primarily Python; segment-anything is Jupyter Notebook; Tags unique to LMFlow: chatgpt, deep-learning, instruction-following, language-model; 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. 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 LMFlow? 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. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is segment-anything or LMFlow more popular on GitHub? segment-anything has more GitHub stars (54,520 vs 8,483). Stars measure visibility, not whether either tool fits your constraints. ### Are segment-anything and LMFlow open source? Yes - both are open-source projects on GitHub (segment-anything: Apache-2.0, LMFlow: Apache-2.0). ### Where can I find alternatives to segment-anything or LMFlow? GraphCanon lists graph-backed alternatives at [segment-anything alternatives](/tools/facebookresearch-segment-anything/alternatives) and [LMFlow alternatives](/tools/optimalscale-lmflow/alternatives) ([segment-anything markdown twin](/tools/facebookresearch-segment-anything/alternatives.md), [LMFlow markdown twin](/tools/optimalscale-lmflow/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-optimalscale-lmflow.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, segment-anything or LMFlow? segment-anything: Dormant. LMFlow: Steady. 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 LMFlow? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [segment-anything trust report](/tools/facebookresearch-segment-anything/trust); [LMFlow trust report](/tools/optimalscale-lmflow/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/_