Comparison
mukh vs caer
Verdict
Pick mukh if mukh is a Python library specializing in face analysis tasks such as deepfake detection and reenactment; pick caer if caer is noted for its high-performance vision tasks including image and video processing, with GPU support via CUDA.
Markdown twin · mukh alternatives · caer alternatives
GraphCanon updated Sep 24, 2026
8views this month
Trust & integrity
| Signal | mukh | caer |
|---|---|---|
| Maintenance | Dormant (451d since push) As of Sep 24, 2026 · github_public_v1 | Active (29d since push) As of Sep 23, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 24, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 23, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- mukh
- A comprehensive face analysis library that provides unified APIs for various face-related tasks
- caer
- High-performance Vision library in Python for scaling research
Stars
- mukh
- 378
- caer
- 817
Forks
- mukh
- 94
- caer
- 110
Open issues
- mukh
- 6
- caer
- 3
Language
- mukh
- Python
- caer
- Python
Adopt for
- mukh
- mukh is a Python library specializing in face analysis tasks such as deepfake detection and reenactment.
- caer
- Caer is noted for its high-performance vision tasks including image and video processing, with GPU support via CUDA.
Persona
- mukh
- -
- caer
- -
Runtime
- mukh
- -
- caer
- -
License
- mukh
- mukh is available under the Apache-2.0 license, which allows for both commercial and non-commercial uses with proper attribution.
- caer
- MIT
Last pushed
- mukh
- Jun 29, 2025
- caer
- Aug 24, 2026
Categories
- mukh
- Computer Vision
- caer
- Computer Vision
Trust and health
Maintenance
- mukh
- Dormant (18%)
- caer
- Active (82%)
Days since push
- mukh
- 451d
- caer
- 29d
Open issues (now)
- mukh
- 6
- caer
- 3
Stars delta
- mukh
- +2 (30d)
- caer
- +5 (30d)
Open issues delta
- mukh
- 0 (30d)
- caer
- +2 (30d)
OSV dependency advisories
- mukh
- Published findings
- caer
- No lockfile (source not queried)
Full report
- mukh
- Trust report
- caer
- Trust report
Shared compatibility
- Python · mukh: Python runtime · caer: Python runtime
Choose mukh if…
- License: mukh is Apache-2.0, caer is MIT.
- Tags unique to mukh: deepfake-detection, face-analysis, face-detection, face-reenactment.
- Use mukh when you need specific functionalities for deepfake detection and face reenactment, as these are key features it supports.
When NOT to use mukh
- Avoid using mukh if your application does not specifically require deepfake detection or reenactment functionalities as these could introduce unnecessary complexity and dependencies.
- Do not use mukh if you are looking for a broad computer vision library. It focuses narrowly on face-related tasks and might be limiting outside this domain.
Choose caer if…
- License: caer is MIT, mukh is Apache-2.0.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ishandutta0098/mukh) · observed Sep 24, 2026
- GitHub forks (ishandutta0098/mukh) · observed Sep 24, 2026
- Last push (ishandutta0098/mukh) · observed Jun 29, 2025
- License file (Apache-2.0) · observed Sep 24, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (jasmcaus/caer) · observed Sep 23, 2026
- GitHub forks (jasmcaus/caer) · observed Sep 23, 2026
- Last push (jasmcaus/caer) · observed Aug 24, 2026
- License file (MIT) · observed Sep 23, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: mukh 378 · caer 817 (synced Sep 24, 2026).
Common questions
- What is the difference between mukh and caer?
- mukh: A comprehensive face analysis library that provides unified APIs for various face-related tasks. caer: High-performance Vision library in Python for scaling research. See the comparison table for live GitHub stats and shared categories.
- When should I choose mukh over caer?
- Choose mukh over caer when License: mukh is Apache-2.0, caer is MIT; Tags unique to mukh: deepfake-detection, face-analysis, face-detection, face-reenactment; Use mukh when you need specific functionalities for deepfake detection and face reenactment, as these are key features it supports.
- When should I choose caer over mukh?
- Choose caer over mukh when License: caer is MIT, mukh is Apache-2.0; 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 avoid mukh?
- Avoid using mukh if your application does not specifically require deepfake detection or reenactment functionalities as these could introduce unnecessary complexity and dependencies. Do not use mukh if you are looking for a broad computer vision library. It focuses narrowly on face-related tasks and might be limiting outside this domain.
- 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.
- Is mukh or caer more popular on GitHub?
- caer has more GitHub stars (817 vs 378). Stars measure visibility, not whether either tool fits your constraints.
- Are mukh and caer open source?
- Yes - both are open-source projects on GitHub (mukh: Apache-2.0, caer: MIT).
- Where can I find alternatives to mukh or caer?
- GraphCanon lists graph-backed alternatives at mukh alternatives and caer alternatives (mukh markdown twin, caer 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, mukh or caer?
- mukh: Dormant. caer: 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 mukh and caer?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mukh trust report; caer trust report.