Comparison
segment-anything vs LMFlow
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.
Markdown twin · segment-anything alternatives · LMFlow alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | segment-anything | LMFlow |
|---|---|---|
| Maintenance | Dormant (661d since push) As of today · github_public_v1 | Steady (50d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 74 low (74 low) As of today · osv@v1 |
Tagline
- segment-anything
- The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
- LMFlow
- An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
Stars
- segment-anything
- 55k
- LMFlow
- 8.5k
Forks
- segment-anything
- 6.4k
- LMFlow
- 828
Open issues
- segment-anything
- 595
- LMFlow
- 87
Language
- segment-anything
- Jupyter Notebook
- LMFlow
- Python
Adopt for
- segment-anything
- -
- LMFlow
- -
Persona
- segment-anything
- -
- LMFlow
- -
Runtime
- segment-anything
- -
- LMFlow
- -
License
- segment-anything
- Apache-2.0
- LMFlow
- Apache-2.0
Last pushed
- segment-anything
- Sep 18, 2024
- LMFlow
- May 22, 2026
Categories
- segment-anything
- LLM Frameworks, Model Training, Inference & Serving
- LMFlow
- LLM Frameworks, Model Training, Inference & Serving
Trust and health
Maintenance
- segment-anything
- Dormant (18%)
- LMFlow
- Steady (60%)
Days since push
- segment-anything
- 661d
- LMFlow
- 50d
Open issues (now)
- segment-anything
- 595
- LMFlow
- 87
Security scan
- segment-anything
- No lockfile
- LMFlow
- 74 low (74 low)
Full report
- segment-anything
- Trust report
- LMFlow
- Trust report
Shared compatibility
- Python · segment-anything: Python runtime · LMFlow: Python runtime
Choose segment-anything if…
- segment-anything is primarily Jupyter Notebook; LMFlow is Python.
- Tags unique to segment-anything: jupyter notebook.
- More GitHub stars (55k vs 8.5k) - visibility, not fit.
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.
- 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.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Choose LMFlow if…
- LMFlow is primarily Python; segment-anything is Jupyter Notebook.
- Tags unique to LMFlow: pretrained-models, deep-learning, python, chatgpt.
- More recently updated (last pushed May 22, 2026).
When NOT to use LMFlow
- 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.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (facebookresearch/segment-anything) · observed Jul 11, 2026
- GitHub forks (facebookresearch/segment-anything) · observed Jul 11, 2026
- Last push (facebookresearch/segment-anything) · observed Sep 18, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (OptimalScale/LMFlow) · observed Jul 11, 2026
- GitHub forks (OptimalScale/LMFlow) · observed Jul 11, 2026
- Last push (OptimalScale/LMFlow) · observed May 22, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: segment-anything 55k · LMFlow 8.5k (synced Jul 11, 2026).
Common questions
- What is the difference between segment-anything and LMFlow?
- segment-anything: The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.. 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: jupyter notebook; 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: pretrained-models, deep-learning, python, chatgpt; More recently updated (last pushed May 22, 2026).
- 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. 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. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- When should I avoid LMFlow?
- 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. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- 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 and LMFlow alternatives (segment-anything markdown twin, LMFlow markdown twin), 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 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; LMFlow trust report.