Home/Compare/segment-anything vs ultralytics

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

segment-anything logo

segment-anything

facebookresearch/segment-anything

★ 55kpushed Sep 18, 2024
vs
ultralytics logo

ultralytics

ultralytics/ultralytics

★ 62kpushed Sep 18, 2026

Trust & integrity

Signalsegment-anythingultralytics
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

segment-anything related ultralyticsUltralytics 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.

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 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.

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