Comparison
awesome-llm-apps vs Skill_Seekers
Verdict
Pick awesome-llm-apps when license: awesome-llm-apps is Apache-2.0, Skill_Seekers is MIT; pick Skill_Seekers when license: Skill_Seekers is MIT, awesome-llm-apps is Apache-2.0.
Markdown twin · awesome-llm-apps alternatives · Skill_Seekers alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | awesome-llm-apps | Skill_Seekers |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1d · github_public_v1 | Active (8d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No MCP manifest As of today · mcp_manifest |
Tagline
- awesome-llm-apps
- 100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
- Skill_Seekers
- Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection
Stars
- awesome-llm-apps
- 118k
- Skill_Seekers
- 14k
Forks
- awesome-llm-apps
- 17k
- Skill_Seekers
- 1.5k
Open issues
- awesome-llm-apps
- 6
- Skill_Seekers
- 103
Language
- awesome-llm-apps
- Python
- Skill_Seekers
- Python
Adopt for
- awesome-llm-apps
- awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
- Skill_Seekers
- -
Persona
- awesome-llm-apps
- -
- Skill_Seekers
- -
Runtime
- awesome-llm-apps
- -
- Skill_Seekers
- -
License
- awesome-llm-apps
- The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license.
- Skill_Seekers
- MIT
Last pushed
- awesome-llm-apps
- Jul 11, 2026
- Skill_Seekers
- Jul 2, 2026
Categories
- awesome-llm-apps
- AI Agents, Data & Retrieval
- Skill_Seekers
- Computer Vision, Data & Retrieval, Developer Tools
Trust and health
Maintenance
- awesome-llm-apps
- Very active (96%)
- Skill_Seekers
- Active (82%)
Days since push
- awesome-llm-apps
- 0d
- Skill_Seekers
- 8d
Open issues (now)
- awesome-llm-apps
- 6
- Skill_Seekers
- 103
Security scan
- awesome-llm-apps
- No lockfile
- Skill_Seekers
- No MCP manifest
Full report
- awesome-llm-apps
- Trust report
- Skill_Seekers
- Trust report
Choose awesome-llm-apps if…
- License: awesome-llm-apps is Apache-2.0, Skill_Seekers is MIT.
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
- Also covers AI Agents.
- When you need quick implementations of various real-world use cases for AI Agents and RAG.
When NOT to use awesome-llm-apps
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch.
- When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
Choose Skill_Seekers if…
- License: Skill_Seekers is MIT, awesome-llm-apps is Apache-2.0.
- Tags unique to Skill_Seekers: ai-tools, ast-parser, automation, claude-ai.
- Also covers Computer Vision, Developer Tools.
When NOT to use Skill_Seekers
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Jul 11, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Jul 11, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (yusufkaraaslan/Skill_Seekers) · observed Jul 11, 2026
- GitHub forks (yusufkaraaslan/Skill_Seekers) · observed Jul 11, 2026
- Last push (yusufkaraaslan/Skill_Seekers) · observed Jul 2, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-llm-apps 118k · Skill_Seekers 14k (synced Jul 11, 2026).
Common questions
- What is the difference between awesome-llm-apps and Skill_Seekers?
- awesome-llm-apps: 100+ AI Agent & RAG apps you can actually run — clone, customize, ship.. Skill_Seekers: Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-llm-apps over Skill_Seekers?
- Choose awesome-llm-apps over Skill_Seekers when License: awesome-llm-apps is Apache-2.0, Skill_Seekers is MIT; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; Also covers AI Agents; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I choose Skill_Seekers over awesome-llm-apps?
- Choose Skill_Seekers over awesome-llm-apps when License: Skill_Seekers is MIT, awesome-llm-apps is Apache-2.0; Tags unique to Skill_Seekers: ai-tools, ast-parser, automation, claude-ai; Also covers Computer Vision, Developer Tools.
- When should I avoid awesome-llm-apps?
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
- When should I avoid Skill_Seekers?
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is awesome-llm-apps or Skill_Seekers more popular on GitHub?
- awesome-llm-apps has more GitHub stars (117,774 vs 14,428). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-llm-apps and Skill_Seekers open source?
- Yes - both are open-source projects on GitHub (awesome-llm-apps: Apache-2.0, Skill_Seekers: MIT).
- Where can I find alternatives to awesome-llm-apps or Skill_Seekers?
- GraphCanon lists graph-backed alternatives at awesome-llm-apps alternatives and Skill_Seekers alternatives (awesome-llm-apps markdown twin, Skill_Seekers 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, awesome-llm-apps or Skill_Seekers?
- awesome-llm-apps: Very active. Skill_Seekers: 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 awesome-llm-apps and Skill_Seekers?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-llm-apps trust report; Skill_Seekers trust report.