Comparison
segment-anything vs ultralytics
Verdict
Pick segment-anything if segment-Anything is a tool for image segmentation tasks, offering model checkpoints and example notebooks for generating masks from images; pick ultralytics if ultralytics offers a suite of YOLO models for a variety of computer vision tasks, including object detection, instance segmentation, and image classification, with support for deployment in ONNX format.
Markdown twin · segment-anything alternatives · ultralytics alternatives
GraphCanon updated Sep 20, 2026
18views this month
Trust & integrity
| Signal | segment-anything | ultralytics |
|---|---|---|
| Maintenance | Dormant (729d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- segment-anything
- Provides code for running inference with the SegmentAnything Model (SAM), including model checkpoints and example notebooks.
- ultralytics
- Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 for various computer vision tasks
Stars
- segment-anything
- 55k
- ultralytics
- 62k
Forks
- segment-anything
- 6.4k
- ultralytics
- 12k
Open issues
- segment-anything
- 594
- ultralytics
- 82
Language
- segment-anything
- Jupyter Notebook
- ultralytics
- Python
Adopt for
- segment-anything
- Segment-Anything is a tool for image segmentation tasks, offering model checkpoints and example notebooks for generating masks from images.
- ultralytics
- Ultralytics offers a suite of YOLO models for a variety of computer vision tasks, including object detection, instance segmentation, and image classification, with support for deployment in ONNX format.
Persona
- segment-anything
- -
- ultralytics
- -
Runtime
- segment-anything
- -
- ultralytics
- -
License
- segment-anything
- Apache-2.0
- ultralytics
- Ultralytics is available under the AGPL-3.0 license for open-source collaboration, or under a proprietary Enterprise License for commercial use.
Last pushed
- segment-anything
- Sep 18, 2024
- ultralytics
- Sep 18, 2026
Categories
- segment-anything
- Inference & Serving, Model Training
- ultralytics
- Computer Vision, Model Training
Trust and health
Maintenance
- segment-anything
- Dormant (18%)
- ultralytics
- Very active (96%)
Days since push
- segment-anything
- 729d
- ultralytics
- 0d
Open issues (now)
- segment-anything
- 594
- ultralytics
- 82
Stars delta
- segment-anything
- +247 (30d)
- ultralytics
- +1.5k (30d)
Open issues delta
- segment-anything
- -1 (30d)
- ultralytics
- -95 (30d)
Full report
- segment-anything
- Trust report
- ultralytics
- Trust report
Typed relationship
Shared compatibility
- Python · segment-anything: Python runtime · ultralytics: Python runtime
Choose segment-anything if…
- segment-anything is primarily Jupyter Notebook; ultralytics is Python.
- License: segment-anything is Apache-2.0, ultralytics is AGPL-3.0.
- Requirements: Min 8 GB RAM; Requires Python 3.8 or higher.; PyTorch 1.7 and torchvision 0.8 or higher are required.; CUDA support is recommended for optimal performance..
- Ultralytics focuses on comprehensive computer vision tasks, including segmentation. Segment Anything Model could be used as a specialized tool for segmentation tasks within the broader Ultralytics suite.
- Tags unique to segment-anything: coco format, image segmentation, inference, mask generation.
- Also covers Inference & Serving.
- When you need to perform image segmentation tasks with high accuracy and flexibility, as Segment-Anything provides a robust model and detailed notebooks for prompt-based and automatic mask generation.
When NOT to use segment-anything
- If your project strictly requires real-time segmentation, as Segment-Anything, while efficient, may not meet the latency requirements of real-time applications.
- When you are working in a resource-constrained environment, as Segment-Anything requires a significant amount of computational resources, including CUDA support for optimal performance.
- If your project does not require the flexibility of prompt-based segmentation and you are looking for a simpler, more streamlined tool for basic segmentation tasks.
Choose ultralytics if…
- ultralytics is primarily Python; segment-anything is Jupyter Notebook.
- License: ultralytics is AGPL-3.0, segment-anything is Apache-2.0.
- Pricing: Free for open-source projects under AGPL-3.0, with paid options for commercial use through the Enterprise License..
- Requirements: Min 4 GB RAM; Requires Python and PyTorch for model training and inference..
- Ultralytics focuses on comprehensive computer vision tasks, including segmentation. Segment Anything Model could be used as a specialized tool for segmentation tasks within the broader Ultralytics suite.
- Tags unique to ultralytics: computer-vision, deep-learning, image-classification, instance-segmentation.
- Also covers Computer Vision.
- When you need a comprehensive set of YOLO models for multiple computer vision tasks, including object detection, instance segmentation, and image classification.
When NOT to use ultralytics
- If your project strictly requires proprietary or closed-source software, as Ultralytics' AGPL-3.0 license may not be suitable without purchasing the Enterprise License.
- When you need a tool that focuses solely on a specific computer vision task, as Ultralytics provides a broad range of models which might be overkill for a single-task focus.
- If you are looking for a tool that does not support deployment in ONNX format, as Ultralytics specifically supports this for deployment purposes.
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 Sep 20, 2026
- GitHub forks (facebookresearch/segment-anything) · observed Sep 20, 2026
- Last push (facebookresearch/segment-anything) · observed Sep 18, 2024
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (ultralytics/ultralytics) · observed Sep 20, 2026
- GitHub forks (ultralytics/ultralytics) · observed Sep 20, 2026
- Last push (ultralytics/ultralytics) · observed Sep 18, 2026
- License file (AGPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: segment-anything 55k · ultralytics 62k (synced Sep 20, 2026).
Common questions
- What is the difference between segment-anything and ultralytics?
- segment-anything: Provides code for running inference with the SegmentAnything Model (SAM), including model checkpoints and example notebooks.. ultralytics: Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 for various computer vision tasks. See the comparison table for live GitHub stats and shared categories.
- When should I choose segment-anything over ultralytics?
- Choose segment-anything over ultralytics when segment-anything is primarily Jupyter Notebook; ultralytics is Python; License: segment-anything is Apache-2.0, ultralytics is AGPL-3.0; Requirements: Min 8 GB RAM; Requires Python 3.8 or higher.; PyTorch 1.7 and torchvision 0.8 or higher are required.; CUDA support is recommended for optimal performance.; Ultralytics focuses on comprehensive computer vision tasks, including segmentation. Segment Anything Model could be used as a specialized tool for segmentation tasks within the broader Ultralytics suite; Tags unique to segment-anything: coco format, image segmentation, inference, mask generation; Also covers Inference & Serving; When you need to perform image segmentation tasks with high accuracy and flexibility, as Segment-Anything provides a robust model and detailed notebooks for prompt-based and automatic mask generation.
- When should I choose ultralytics over segment-anything?
- Choose ultralytics over segment-anything when ultralytics is primarily Python; segment-anything is Jupyter Notebook; License: ultralytics is AGPL-3.0, segment-anything is Apache-2.0; Pricing: Free for open-source projects under AGPL-3.0, with paid options for commercial use through the Enterprise License.; Requirements: Min 4 GB RAM; Requires Python and PyTorch for model training and inference.; Ultralytics focuses on comprehensive computer vision tasks, including segmentation. Segment Anything Model could be used as a specialized tool for segmentation tasks within the broader Ultralytics suite; Tags unique to ultralytics: computer-vision, deep-learning, image-classification, instance-segmentation; Also covers Computer Vision; When you need a comprehensive set of YOLO models for multiple computer vision tasks, including object detection, instance segmentation, and image classification.
- When should I avoid segment-anything?
- If your project strictly requires real-time segmentation, as Segment-Anything, while efficient, may not meet the latency requirements of real-time applications. When you are working in a resource-constrained environment, as Segment-Anything requires a significant amount of computational resources, including CUDA support for optimal performance. If your project does not require the flexibility of prompt-based segmentation and you are looking for a simpler, more streamlined tool for basic segmentation tasks.
- When should I avoid ultralytics?
- If your project strictly requires proprietary or closed-source software, as Ultralytics' AGPL-3.0 license may not be suitable without purchasing the Enterprise License. When you need a tool that focuses solely on a specific computer vision task, as Ultralytics provides a broad range of models which might be overkill for a single-task focus. If you are looking for a tool that does not support deployment in ONNX format, as Ultralytics specifically supports this for deployment purposes.
- Is segment-anything or ultralytics more popular on GitHub?
- ultralytics has more GitHub stars (61,741 vs 54,877). Stars measure visibility, not whether either tool fits your constraints.
- Are segment-anything and ultralytics open source?
- Yes - both are open-source projects on GitHub (segment-anything: Apache-2.0, ultralytics: AGPL-3.0).
- Where can I find alternatives to segment-anything or ultralytics?
- GraphCanon lists graph-backed alternatives at segment-anything alternatives and ultralytics alternatives (segment-anything markdown twin, ultralytics 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 ultralytics?
- segment-anything: Dormant. ultralytics: Very active. 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 ultralytics?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: segment-anything trust report; ultralytics trust report.