Comparison
End-to-End-Agentic-Ai-Automation-Lab vs awesome-ai-apps
Verdict
Pick End-to-End-Agentic-Ai-Automation-Lab if end-to-End-Agentic-Ai-Automation-Lab offers hands-on projects and code for multi-agent systems using technologies like LangChain, AutoGen, CrewAI, RAG, MCP, and n8n on Docker, AWS, BentoML; pick awesome-ai-apps if awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models.
Markdown twin · End-to-End-Agentic-Ai-Automation-Lab alternatives · awesome-ai-apps alternatives
GraphCanon updated Sep 20, 2026
5views this month
End-to-End-Agentic-Ai-Automation-Lab
MDalamin5/End-to-End-Agentic-Ai-Automation-Lab
★ 97pushed Jun 11, 2026
Trust & integrity
| Signal | End-to-End-Agentic-Ai-Automation-Lab | awesome-ai-apps |
|---|---|---|
| Maintenance | Slowing (92d since push) As of Sep 12, 2026 · github_public_v1 | Slowing (221d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 12, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-15 As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 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
- End-to-End-Agentic-Ai-Automation-Lab
- Hands-on projects and code examples for multi-agent systems
- awesome-ai-apps
- A curated collection of AI Agents and LLM Apps with various tech stacks
Stars
- End-to-End-Agentic-Ai-Automation-Lab
- 97
- awesome-ai-apps
- 828
Forks
- End-to-End-Agentic-Ai-Automation-Lab
- 39
- awesome-ai-apps
- 177
Open issues
- End-to-End-Agentic-Ai-Automation-Lab
- 0
- awesome-ai-apps
- 33
Language
- End-to-End-Agentic-Ai-Automation-Lab
- Jupyter Notebook
- awesome-ai-apps
- HTML
Adopt for
- End-to-End-Agentic-Ai-Automation-Lab
- End-to-End-Agentic-Ai-Automation-Lab offers hands-on projects and code for multi-agent systems using technologies like LangChain, AutoGen, CrewAI, RAG, MCP, and n8n on Docker, AWS, BentoML.
- awesome-ai-apps
- awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models.
Persona
- End-to-End-Agentic-Ai-Automation-Lab
- -
- awesome-ai-apps
- -
Runtime
- End-to-End-Agentic-Ai-Automation-Lab
- -
- awesome-ai-apps
- -
License
- End-to-End-Agentic-Ai-Automation-Lab
- MIT
- awesome-ai-apps
- Apache-2.0
Last pushed
- End-to-End-Agentic-Ai-Automation-Lab
- Jun 11, 2026
- awesome-ai-apps
- Feb 10, 2026
Categories
- End-to-End-Agentic-Ai-Automation-Lab
- AI Agents, LLM Frameworks
- awesome-ai-apps
- AI Agents, LLM Frameworks
Trust and health
Days since push
- End-to-End-Agentic-Ai-Automation-Lab
- 92d
- awesome-ai-apps
- 221d
Open issues (now)
- End-to-End-Agentic-Ai-Automation-Lab
- 0
- awesome-ai-apps
- 33
Stars delta
- End-to-End-Agentic-Ai-Automation-Lab
- +7 (30d)
- awesome-ai-apps
- +11 (30d)
Open issues delta
- End-to-End-Agentic-Ai-Automation-Lab
- 0 (30d)
- awesome-ai-apps
- +6 (30d)
OSV dependency advisories
- End-to-End-Agentic-Ai-Automation-Lab
- No published findings from this source as of 2026-07-15
- awesome-ai-apps
- No lockfile (source not queried)
Full report
- End-to-End-Agentic-Ai-Automation-Lab
- Trust report
- awesome-ai-apps
- Trust report
Choose End-to-End-Agentic-Ai-Automation-Lab if…
- End-to-End-Agentic-Ai-Automation-Lab is primarily Jupyter Notebook; awesome-ai-apps is HTML.
- License: End-to-End-Agentic-Ai-Automation-Lab is MIT, awesome-ai-apps is Apache-2.0.
- Tags unique to End-to-End-Agentic-Ai-Automation-Lab: agentic-ai, autogen, aws, bentoml.
- For developing complex multi-agent systems with automated workflows
When NOT to use End-to-End-Agentic-Ai-Automation-Lab
- If your project does not involve multi-agent systems or automation layers like n8n
- If you are looking for a simpler introductory tool to AI without the focus on deployment details
Choose awesome-ai-apps if…
- awesome-ai-apps is primarily HTML; End-to-End-Agentic-Ai-Automation-Lab is Jupyter Notebook.
- License: awesome-ai-apps is Apache-2.0, End-to-End-Agentic-Ai-Automation-Lab is MIT.
- Tags unique to awesome-ai-apps: agents, ai, apps, automation.
- For exploring real-world implementations of AI agents across different technologies
When NOT to use awesome-ai-apps
- When seeking detailed implementation steps specific to one technology stack
- In scenarios demanding a deep dive into proprietary or less publicly-known application codes
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (MDalamin5/End-to-End-Agentic-Ai-Automation-Lab) · observed Sep 20, 2026
- GitHub forks (MDalamin5/End-to-End-Agentic-Ai-Automation-Lab) · observed Sep 20, 2026
- Last push (MDalamin5/End-to-End-Agentic-Ai-Automation-Lab) · observed Jun 11, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (rohitg00/awesome-ai-apps) · observed Sep 20, 2026
- GitHub forks (rohitg00/awesome-ai-apps) · observed Sep 20, 2026
- Last push (rohitg00/awesome-ai-apps) · observed Feb 10, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: End-to-End-Agentic-Ai-Automation-Lab 97 · awesome-ai-apps 828 (synced Sep 20, 2026).
Common questions
- What is the difference between End-to-End-Agentic-Ai-Automation-Lab and awesome-ai-apps?
- End-to-End-Agentic-Ai-Automation-Lab: Hands-on projects and code examples for multi-agent systems. awesome-ai-apps: A curated collection of AI Agents and LLM Apps with various tech stacks. See the comparison table for live GitHub stats and shared categories.
- When should I choose End-to-End-Agentic-Ai-Automation-Lab over awesome-ai-apps?
- Choose End-to-End-Agentic-Ai-Automation-Lab over awesome-ai-apps when End-to-End-Agentic-Ai-Automation-Lab is primarily Jupyter Notebook; awesome-ai-apps is HTML; License: End-to-End-Agentic-Ai-Automation-Lab is MIT, awesome-ai-apps is Apache-2.0; Tags unique to End-to-End-Agentic-Ai-Automation-Lab: agentic-ai, autogen, aws, bentoml; For developing complex multi-agent systems with automated workflows.
- When should I choose awesome-ai-apps over End-to-End-Agentic-Ai-Automation-Lab?
- Choose awesome-ai-apps over End-to-End-Agentic-Ai-Automation-Lab when awesome-ai-apps is primarily HTML; End-to-End-Agentic-Ai-Automation-Lab is Jupyter Notebook; License: awesome-ai-apps is Apache-2.0, End-to-End-Agentic-Ai-Automation-Lab is MIT; Tags unique to awesome-ai-apps: agents, ai, apps, automation; For exploring real-world implementations of AI agents across different technologies.
- When should I avoid End-to-End-Agentic-Ai-Automation-Lab?
- If your project does not involve multi-agent systems or automation layers like n8n If you are looking for a simpler introductory tool to AI without the focus on deployment details
- When should I avoid awesome-ai-apps?
- When seeking detailed implementation steps specific to one technology stack In scenarios demanding a deep dive into proprietary or less publicly-known application codes
- Is End-to-End-Agentic-Ai-Automation-Lab or awesome-ai-apps more popular on GitHub?
- awesome-ai-apps has more GitHub stars (828 vs 97). Stars measure visibility, not whether either tool fits your constraints.
- Are End-to-End-Agentic-Ai-Automation-Lab and awesome-ai-apps open source?
- Yes - both are open-source projects on GitHub (End-to-End-Agentic-Ai-Automation-Lab: MIT, awesome-ai-apps: Apache-2.0).
- Where can I find alternatives to End-to-End-Agentic-Ai-Automation-Lab or awesome-ai-apps?
- GraphCanon lists graph-backed alternatives at End-to-End-Agentic-Ai-Automation-Lab alternatives and awesome-ai-apps alternatives (End-to-End-Agentic-Ai-Automation-Lab markdown twin, awesome-ai-apps 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, End-to-End-Agentic-Ai-Automation-Lab or awesome-ai-apps?
- End-to-End-Agentic-Ai-Automation-Lab: Slowing. awesome-ai-apps: 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 End-to-End-Agentic-Ai-Automation-Lab and awesome-ai-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: End-to-End-Agentic-Ai-Automation-Lab trust report; awesome-ai-apps trust report.