Comparison
caer vs RobustVideoMatting
Verdict
Pick caer if caer is noted for its high-performance vision tasks including image and video processing, with GPU support via CUDA; pick RobustVideoMatting if robustVideoMatting is a deep-learning-based video matting tool using recurrent neural networks for real-time processing on videos with temporal memory.
Markdown twin · caer alternatives · RobustVideoMatting alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | caer | RobustVideoMatting |
|---|---|---|
| Maintenance | Very active (5d since push) As of 3w · github_public_v1 | Dormant (849d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- caer
- High-performance Vision library in Python for scaling research
- RobustVideoMatting
- Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML
Stars
- caer
- 812
- RobustVideoMatting
- 9.5k
Forks
- caer
- 108
- RobustVideoMatting
- 1.2k
Open issues
- caer
- 1
- RobustVideoMatting
- 122
Language
- caer
- Python
- RobustVideoMatting
- Python
Adopt for
- caer
- Caer is noted for its high-performance vision tasks including image and video processing, with GPU support via CUDA.
- RobustVideoMatting
- RobustVideoMatting is a deep-learning-based video matting tool using recurrent neural networks for real-time processing on videos with temporal memory.
Persona
- caer
- -
- RobustVideoMatting
- -
Runtime
- caer
- -
- RobustVideoMatting
- -
License
- caer
- MIT
- RobustVideoMatting
- GPL-3.0
Last pushed
- caer
- Jul 25, 2026
- RobustVideoMatting
- Apr 2, 2024
Categories
- caer
- Computer Vision
- RobustVideoMatting
- Computer Vision
Trust and health
Maintenance
- caer
- Very active (96%)
- RobustVideoMatting
- Dormant (18%)
Days since push
- caer
- 5d
- RobustVideoMatting
- 849d
Open issues (now)
- caer
- 1
- RobustVideoMatting
- 122
Full report
- caer
- Trust report
- RobustVideoMatting
- Trust report
Choose caer if…
- License: caer is MIT, RobustVideoMatting is GPL-3.0.
- Tags unique to caer: artificial-intelligence, augmentation, cuda, data-science.
- If you are working on projects that require scaling computer vision research efforts without excessive boilerplate code, Caer offers streamlined solutions.
When NOT to use caer
- Avoid using caer if you are restricted to Python versions lower than 3.6, or when adherence to a specific older Python version is critical to your project.
- If compatibility with only open-source libraries is needed and CUDA support is not required, other more limited scope tools might be a better choice.
Choose RobustVideoMatting if…
- License: RobustVideoMatting is GPL-3.0, caer is MIT.
- Pricing: The tool is freely available under GPL-3.0, with no associated costs..
- Requirements: A relevant inference framework such as PyTorch or TensorFlow must be installed.; The tool requires a GPU for optimal performance, particularly for handling high-resolution videos..
- Tags unique to RobustVideoMatting: machine-learning, matting.
- When working with human video matting that requires high frames per second, as it can achieve 4K 76FPS and HD 104FPS on Nvidia GTX 1080 Ti GPU.
When NOT to use RobustVideoMatting
- If you require matting capabilities that do not focus on human-like targets, as RVM is specifically designed with this in mind.
- In scenarios where a model smaller than the MobileNetv3 or ResNet50 options provided by the tool cannot be used due to memory constraints or speed requirements.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (jasmcaus/caer) · observed Jul 31, 2026
- GitHub forks (jasmcaus/caer) · observed Jul 31, 2026
- Last push (jasmcaus/caer) · observed Jul 25, 2026
- License file (MIT) · observed Jul 31, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (PeterL1n/RobustVideoMatting) · observed Jul 31, 2026
- GitHub forks (PeterL1n/RobustVideoMatting) · observed Jul 31, 2026
- Last push (PeterL1n/RobustVideoMatting) · observed Apr 2, 2024
- License file (GPL-3.0) · observed Jul 31, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: caer 812 · RobustVideoMatting 9.5k (synced Jul 31, 2026).
Common questions
- What is the difference between caer and RobustVideoMatting?
- caer: High-performance Vision library in Python for scaling research. RobustVideoMatting: Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML. See the comparison table for live GitHub stats and shared categories.
- When should I choose caer over RobustVideoMatting?
- Choose caer over RobustVideoMatting when License: caer is MIT, RobustVideoMatting is GPL-3.0; Tags unique to caer: artificial-intelligence, augmentation, cuda, data-science; If you are working on projects that require scaling computer vision research efforts without excessive boilerplate code, Caer offers streamlined solutions.
- When should I choose RobustVideoMatting over caer?
- Choose RobustVideoMatting over caer when License: RobustVideoMatting is GPL-3.0, caer is MIT; Pricing: The tool is freely available under GPL-3.0, with no associated costs.; Requirements: A relevant inference framework such as PyTorch or TensorFlow must be installed.; The tool requires a GPU for optimal performance, particularly for handling high-resolution videos.; Tags unique to RobustVideoMatting: machine-learning, matting; When working with human video matting that requires high frames per second, as it can achieve 4K 76FPS and HD 104FPS on Nvidia GTX 1080 Ti GPU.
- When should I avoid caer?
- Avoid using caer if you are restricted to Python versions lower than 3.6, or when adherence to a specific older Python version is critical to your project. If compatibility with only open-source libraries is needed and CUDA support is not required, other more limited scope tools might be a better choice.
- When should I avoid RobustVideoMatting?
- If you require matting capabilities that do not focus on human-like targets, as RVM is specifically designed with this in mind. In scenarios where a model smaller than the MobileNetv3 or ResNet50 options provided by the tool cannot be used due to memory constraints or speed requirements.
- Is caer or RobustVideoMatting more popular on GitHub?
- RobustVideoMatting has more GitHub stars (9,452 vs 812). Stars measure visibility, not whether either tool fits your constraints.
- Are caer and RobustVideoMatting open source?
- Yes - both are open-source projects on GitHub (caer: MIT, RobustVideoMatting: GPL-3.0).
- Where can I find alternatives to caer or RobustVideoMatting?
- GraphCanon lists graph-backed alternatives at caer alternatives and RobustVideoMatting alternatives (caer markdown twin, RobustVideoMatting 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, caer or RobustVideoMatting?
- caer: Very active. RobustVideoMatting: Dormant. 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 caer and RobustVideoMatting?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: caer trust report; RobustVideoMatting trust report.