Comparison
mukh vs anomaly-detection-resources
Verdict
Pick mukh when license: mukh is Apache-2.0, anomaly-detection-resources is AGPL-3.0; pick anomaly-detection-resources when license: anomaly-detection-resources is AGPL-3.0, mukh is Apache-2.0.
Markdown twin · mukh alternatives · anomaly-detection-resources alternatives
GraphCanon updated today
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Trust & integrity
| Signal | mukh | anomaly-detection-resources |
|---|---|---|
| Maintenance | Dormant (376d since push) As of today · github_public_v1 | Slowing (131d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | 29 low (29 low) As of today · osv@v1 | No lockfile As of today · none |
Tagline
- mukh
- A comprehensive face analysis library that provides unified APIs for various face-related tasks
- anomaly-detection-resources
- Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
Stars
- mukh
- 374
- anomaly-detection-resources
- 9.3k
Forks
- mukh
- 95
- anomaly-detection-resources
- 1.8k
Open issues
- mukh
- 6
- anomaly-detection-resources
- 14
Language
- mukh
- Python
- anomaly-detection-resources
- Python
Adopt for
- mukh
- -
- anomaly-detection-resources
- An open collection of anomaly detection resources including books, papers, videos, and toolkits.
Persona
- mukh
- -
- anomaly-detection-resources
- -
Runtime
- mukh
- -
- anomaly-detection-resources
- -
License
- mukh
- Apache-2.0
- anomaly-detection-resources
- The resources are shared under the AGPL-3.0 license.
Last pushed
- mukh
- Jun 29, 2025
- anomaly-detection-resources
- Mar 2, 2026
Categories
- mukh
- Computer Vision
- anomaly-detection-resources
- LLM Frameworks, AI Agents, Computer Vision
Trust and health
Maintenance
- mukh
- Dormant (18%)
- anomaly-detection-resources
- Slowing (36%)
Days since push
- mukh
- 376d
- anomaly-detection-resources
- 131d
Open issues (now)
- mukh
- 6
- anomaly-detection-resources
- 14
Security scan
- mukh
- 29 low (29 low)
- anomaly-detection-resources
- No lockfile
Full report
- mukh
- Trust report
- anomaly-detection-resources
- Trust report
Choose mukh if…
- License: mukh is Apache-2.0, anomaly-detection-resources is AGPL-3.0.
- Tags unique to mukh: face-analysis, facial-landmarks, face-detection, ai.
- Leaner open-issue backlog (6).
When NOT to use mukh
- Last GitHub push was 377 days ago (dormant maintenance, Jun 29, 2025). Validate activity before betting a new project on mukh.
Choose anomaly-detection-resources if…
- License: anomaly-detection-resources is AGPL-3.0, mukh is Apache-2.0.
- Requirements: Python knowledge is advantageous for accessing certain toolkits and libraries within the repository..
- Tags unique to anomaly-detection-resources: awesome, fraud-detection, anomaly-detection, data-mining.
- Also covers LLM Frameworks, AI Agents.
- - **You need comprehensive coverage**: If you require a broad array of resources covering multiple aspects such as academic literature, datasets, tutorials, benchmarks, and libraries for outlier/anoml
When NOT to use anomaly-detection-resources
- - **Real-time implementation is critical**: This is an aggregated resource repository rather than a real-time anomaly detection service or tool. It does not facilitate on-the-fly alerts or monitoring.
- - **Highly specialized niche areas**: If your specific anomaly detection needs are extremely narrow and niche, it may be more effective to directly consult researchers specializing in that area.
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 Jul 11, 2026
- GitHub forks (ishandutta0098/mukh) · observed Jul 11, 2026
- Last push (ishandutta0098/mukh) · observed Jun 29, 2025
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (yzhao062/anomaly-detection-resources) · observed Jul 11, 2026
- GitHub forks (yzhao062/anomaly-detection-resources) · observed Jul 11, 2026
- Last push (yzhao062/anomaly-detection-resources) · observed Mar 2, 2026
- License file (AGPL-3.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 9, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: mukh 374 · anomaly-detection-resources 9.3k (synced Jul 11, 2026).
Common questions
- What is the difference between mukh and anomaly-detection-resources?
- mukh: A comprehensive face analysis library that provides unified APIs for various face-related tasks. anomaly-detection-resources: Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!. See the comparison table for live GitHub stats and shared categories.
- When should I choose mukh over anomaly-detection-resources?
- Choose mukh over anomaly-detection-resources when License: mukh is Apache-2.0, anomaly-detection-resources is AGPL-3.0; Tags unique to mukh: face-analysis, facial-landmarks, face-detection, ai; Leaner open-issue backlog (6).
- When should I choose anomaly-detection-resources over mukh?
- Choose anomaly-detection-resources over mukh when License: anomaly-detection-resources is AGPL-3.0, mukh is Apache-2.0; Requirements: Python knowledge is advantageous for accessing certain toolkits and libraries within the repository.; Tags unique to anomaly-detection-resources: awesome, fraud-detection, anomaly-detection, data-mining; Also covers LLM Frameworks, AI Agents; - **You need comprehensive coverage**: If you require a broad array of resources covering multiple aspects such as academic literature, datasets, tutorials, benchmarks, and libraries for outlier/anoml.
- When should I avoid mukh?
- Last GitHub push was 377 days ago (dormant maintenance, Jun 29, 2025). Validate activity before betting a new project on mukh.
- When should I avoid anomaly-detection-resources?
- - **Real-time implementation is critical**: This is an aggregated resource repository rather than a real-time anomaly detection service or tool. It does not facilitate on-the-fly alerts or monitoring. - **Highly specialized niche areas**: If your specific anomaly detection needs are extremely narrow and niche, it may be more effective to directly consult researchers specializing in that area.
- Is mukh or anomaly-detection-resources more popular on GitHub?
- anomaly-detection-resources has more GitHub stars (9,342 vs 374). Stars measure visibility, not whether either tool fits your constraints.
- Are mukh and anomaly-detection-resources open source?
- Yes - both are open-source projects on GitHub (mukh: Apache-2.0, anomaly-detection-resources: AGPL-3.0).
- Where can I find alternatives to mukh or anomaly-detection-resources?
- GraphCanon lists graph-backed alternatives at mukh alternatives and anomaly-detection-resources alternatives (mukh markdown twin, anomaly-detection-resources 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 anomaly-detection-resources?
- mukh: Dormant. anomaly-detection-resources: Slowing. 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 anomaly-detection-resources?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mukh trust report; anomaly-detection-resources trust report.