Comparison
segment-anything vs ultralytics
Verdict
Pick segment-anything if an AI tool for segmentation tasks offering pre-trained models and straightforward integration methods; pick ultralytics if ultralytics is renowned for advanced computer vision tasks including object detection, instance segmentation, and tracking through its YOLO series.
Markdown twin · segment-anything alternatives · ultralytics alternatives
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Trust & integrity
| Signal | segment-anything | ultralytics |
|---|---|---|
| Maintenance | Dormant (661d since push) As of 5d · github_public_v1 | Very active (0d since push) As of 5d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 5d · github_public_v1 | Not a fork · Organization account As of 5d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 5d · osv@v1 | No lockfile (source not queried) As of 6d · 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).
- ultralytics
- Object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Stars
- segment-anything
- 55k
- ultralytics
- 59k
Forks
- segment-anything
- 6.4k
- ultralytics
- 11k
Open issues
- segment-anything
- 595
- ultralytics
- 207
Language
- segment-anything
- Jupyter Notebook
- ultralytics
- Python
Adopt for
- segment-anything
- An AI tool for segmentation tasks offering pre-trained models and straightforward integration methods.
- ultralytics
- Ultralytics is renowned for advanced computer vision tasks including object detection, instance segmentation, and tracking through its YOLO series.
Persona
- segment-anything
- -
- ultralytics
- -
Runtime
- segment-anything
- -
- ultralytics
- -
License
- segment-anything
- Apache 2.0 license, permitting free use, modification, and distribution of the source code without requiring derivative works to maintain the same license.
- ultralytics
- Available under both an open-source AGPL-3.0 license for community and academic use, and a commercial Enterprise License for business integration and production, providing flexibility beyond just open
Last pushed
- segment-anything
- Sep 18, 2024
- ultralytics
- Jul 11, 2026
Categories
- segment-anything
- Inference & Serving
- ultralytics
- Computer Vision
Trust and health
Maintenance
- segment-anything
- Dormant (18%)
- ultralytics
- Very active (96%)
Days since push
- segment-anything
- 661d
- ultralytics
- 0d
Open issues (now)
- segment-anything
- 595
- ultralytics
- 207
Full report
- segment-anything
- Trust report
- ultralytics
- Trust report
Typed relationship
segment-anything 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, PyTorch >=1.7 with CUDA recommended for faster performance; Optional dependencies such as OpenCV and ONNX may further enhance functionality but are not always necessary for basic use..
- 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: image-processing, jupyter-notebook, pytorch, segmentation.
- Also covers Inference & Serving.
- When you need precise segmentation in images with varied objects or regions, as SAM provides high-quality mask generation from prompts.
When NOT to use segment-anything
- Avoid using SAM if your project's constraints specifically require real-time performance since running inference demands significant computational resources.
- Do not choose this tool when a lightweight or resource-efficient solution is needed, as it relies on heavyweight pre-trained models that may be unsuitable for devices with limited computing power.
Choose ultralytics if…
- ultralytics is primarily Python; segment-anything is Jupyter Notebook.
- License: ultralytics is AGPL-3.0, segment-anything is Apache-2.0.
- 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 precision in real-time object detection and segmentation across multiple domains (e.g., robotics, surveillance) is needed.
When NOT to use ultralytics
- If a project requires proprietary modifications or integrations where source code contributions must be tightly controlled, as the AGPL-3.0 would require sharing modified versions of Ultralytics.
- When deployment scenarios strictly limit the use of open-source software due to compliance or security policies that might conflict with AGPL licensing.
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
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ultralytics/ultralytics) · observed Jul 12, 2026
- GitHub forks (ultralytics/ultralytics) · observed Jul 12, 2026
- Last push (ultralytics/ultralytics) · observed Jul 11, 2026
- License file (AGPL-3.0) · observed Jul 12, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: segment-anything 55k · ultralytics 59k (synced Jul 11, 2026).
Common questions
- What is the difference between segment-anything and ultralytics?
- segment-anything: Provides code for running inference with the SegmentAnything Model (SAM).. ultralytics: Object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking. 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, PyTorch >=1.7 with CUDA recommended for faster performance; Optional dependencies such as OpenCV and ONNX may further enhance functionality but are not always necessary for basic use.; 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: image-processing, jupyter-notebook, pytorch, segmentation; Also covers Inference & Serving; When you need precise segmentation in images with varied objects or regions, as SAM provides high-quality mask generation from prompts.
- 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; 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 precision in real-time object detection and segmentation across multiple domains (e.g., robotics, surveillance) is needed.
- When should I avoid segment-anything?
- Avoid using SAM if your project's constraints specifically require real-time performance since running inference demands significant computational resources. Do not choose this tool when a lightweight or resource-efficient solution is needed, as it relies on heavyweight pre-trained models that may be unsuitable for devices with limited computing power.
- When should I avoid ultralytics?
- If a project requires proprietary modifications or integrations where source code contributions must be tightly controlled, as the AGPL-3.0 would require sharing modified versions of Ultralytics. When deployment scenarios strictly limit the use of open-source software due to compliance or security policies that might conflict with AGPL licensing.
- Is segment-anything or ultralytics more popular on GitHub?
- ultralytics has more GitHub stars (59,357 vs 54,520). 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.