Comparison
awesome-list-of-awesomes vs ai-engineering-from-scratch
Verdict
Pick awesome-list-of-awesomes when tags unique to awesome-list-of-awesomes: data-science, ai, dl, cv; pick ai-engineering-from-scratch when pricing: The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up.
Markdown twin · awesome-list-of-awesomes alternatives · ai-engineering-from-scratch alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | awesome-list-of-awesomes | ai-engineering-from-scratch |
|---|---|---|
| Maintenance | Dormant (971d since push) As of today · github_public_v1 | Active (15d 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) | No lockfile As of today · none | No MCP manifest As of today · mcp_manifest |
Tagline
- awesome-list-of-awesomes
- A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.
- ai-engineering-from-scratch
- Learn it. Build it. Ship it for others.
Stars
- awesome-list-of-awesomes
- 345
- ai-engineering-from-scratch
- 38k
Forks
- awesome-list-of-awesomes
- 48
- ai-engineering-from-scratch
- 6.3k
Open issues
- awesome-list-of-awesomes
- 1
- ai-engineering-from-scratch
- 96
Language
- awesome-list-of-awesomes
- -
- ai-engineering-from-scratch
- Python
Adopt for
- awesome-list-of-awesomes
- -
- ai-engineering-from-scratch
- Specifically designed for individuals looking to build a comprehensive understanding of AI tools and frameworks from the ground up.
Persona
- awesome-list-of-awesomes
- -
- ai-engineering-from-scratch
- -
Runtime
- awesome-list-of-awesomes
- -
- ai-engineering-from-scratch
- -
License
- awesome-list-of-awesomes
- MIT
- ai-engineering-from-scratch
- MIT
Last pushed
- awesome-list-of-awesomes
- Nov 13, 2023
- ai-engineering-from-scratch
- Jun 25, 2026
Categories
- awesome-list-of-awesomes
- Model Training, Computer Vision
- ai-engineering-from-scratch
- AI Agents, LLM Frameworks, Computer Vision, Developer Tools
Trust and health
Maintenance
- awesome-list-of-awesomes
- Dormant (18%)
- ai-engineering-from-scratch
- Active (82%)
Days since push
- awesome-list-of-awesomes
- 971d
- ai-engineering-from-scratch
- 15d
Open issues (now)
- awesome-list-of-awesomes
- 1
- ai-engineering-from-scratch
- 96
Security scan
- awesome-list-of-awesomes
- No lockfile
- ai-engineering-from-scratch
- No MCP manifest
Full report
- awesome-list-of-awesomes
- Trust report
- ai-engineering-from-scratch
- Trust report
Choose awesome-list-of-awesomes if…
- Tags unique to awesome-list-of-awesomes: data-science, ai, dl, cv.
- Also covers Model Training.
- Leaner open-issue backlog (1).
When NOT to use awesome-list-of-awesomes
- Last GitHub push was 971 days ago (dormant maintenance, Nov 13, 2023). Validate activity before betting a new project on awesome-list-of-awesomes.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose ai-engineering-from-scratch if…
- Pricing: The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up.
- Tags unique to ai-engineering-from-scratch: ai-engineering, agents, llm, from-scratch.
- Also covers AI Agents, LLM Frameworks, Developer Tools.
- When you want to start with foundational knowledge and learn the intricacies behind AI systems.
When NOT to use ai-engineering-from-scratch
- If you are looking for a quick setup or ready-to-go solution without diving into the foundational understanding.
- When your project requires immediate practical application with less emphasis on self-implemented solutions from scratch.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Nachimak28/awesome-list-of-awesomes) · observed Jul 11, 2026
- GitHub forks (Nachimak28/awesome-list-of-awesomes) · observed Jul 11, 2026
- Last push (Nachimak28/awesome-list-of-awesomes) · observed Nov 13, 2023
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (rohitg00/ai-engineering-from-scratch) · observed Jul 11, 2026
- GitHub forks (rohitg00/ai-engineering-from-scratch) · observed Jul 11, 2026
- Last push (rohitg00/ai-engineering-from-scratch) · observed Jun 25, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-list-of-awesomes 345 · ai-engineering-from-scratch 38k (synced Jul 11, 2026).
Common questions
- What is the difference between awesome-list-of-awesomes and ai-engineering-from-scratch?
- awesome-list-of-awesomes: A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.. ai-engineering-from-scratch: Learn it. Build it. Ship it for others.. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-list-of-awesomes over ai-engineering-from-scratch?
- Choose awesome-list-of-awesomes over ai-engineering-from-scratch when Tags unique to awesome-list-of-awesomes: data-science, ai, dl, cv; Also covers Model Training; Leaner open-issue backlog (1).
- When should I choose ai-engineering-from-scratch over awesome-list-of-awesomes?
- Choose ai-engineering-from-scratch over awesome-list-of-awesomes when Pricing: The
ai-engineering-from-scratchrepository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up; Tags unique to ai-engineering-from-scratch: ai-engineering, agents, llm, from-scratch; Also covers AI Agents, LLM Frameworks, Developer Tools; When you want to start with foundational knowledge and learn the intricacies behind AI systems. - When should I avoid awesome-list-of-awesomes?
- Last GitHub push was 971 days ago (dormant maintenance, Nov 13, 2023). Validate activity before betting a new project on awesome-list-of-awesomes. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- When should I avoid ai-engineering-from-scratch?
- If you are looking for a quick setup or ready-to-go solution without diving into the foundational understanding. When your project requires immediate practical application with less emphasis on self-implemented solutions from scratch.
- Is awesome-list-of-awesomes or ai-engineering-from-scratch more popular on GitHub?
- ai-engineering-from-scratch has more GitHub stars (37,922 vs 345). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-list-of-awesomes and ai-engineering-from-scratch open source?
- Yes - both are open-source projects on GitHub (awesome-list-of-awesomes: MIT, ai-engineering-from-scratch: MIT).
- Where can I find alternatives to awesome-list-of-awesomes or ai-engineering-from-scratch?
- GraphCanon lists graph-backed alternatives at awesome-list-of-awesomes alternatives and ai-engineering-from-scratch alternatives (awesome-list-of-awesomes markdown twin, ai-engineering-from-scratch 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-list-of-awesomes or ai-engineering-from-scratch?
- awesome-list-of-awesomes: Dormant. ai-engineering-from-scratch: 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-list-of-awesomes and ai-engineering-from-scratch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-list-of-awesomes trust report; ai-engineering-from-scratch trust report.