Comparison
AI-Engineering.academy vs Awesome-AI-Data-Guided-Projects
Verdict
Pick AI-Engineering.academy if aI-Engineering.academy is a repository for learning and applying AI concepts, with a focus on fine-tuning, inference, and deployment strategies for large language models, delivered through Jupyter Notebooks under the MIT; pick Awesome-AI-Data-Guided-Projects if awesome-AI-Data-Guided-Projects is a curated list featuring projects for building conversational chatbots using large language models and fine-tuning LLMs with LoRA, suitable for portfolio-building in.
Markdown twin · AI-Engineering.academy alternatives · Awesome-AI-Data-Guided-Projects alternatives
GraphCanon updated Sep 30, 2026
20views this month
vs
Trust & integrity
| Signal | AI-Engineering.academy | Awesome-AI-Data-Guided-Projects |
|---|---|---|
| Maintenance | Slowing (203d since push) As of Sep 19, 2026 · github_public_v1 | Dormant (870d since push) As of Sep 23, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 19, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 23, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- AI-Engineering.academy
- Mastering Applied AI, One Concept at a Time
- Awesome-AI-Data-Guided-Projects
- A curated list of data science & AI guided projects for portfolio-building
Stars
- AI-Engineering.academy
- 2.4k
- Awesome-AI-Data-Guided-Projects
- 724
Forks
- AI-Engineering.academy
- 280
- Awesome-AI-Data-Guided-Projects
- 152
Open issues
- AI-Engineering.academy
- 9
- Awesome-AI-Data-Guided-Projects
- 3
Language
- AI-Engineering.academy
- Jupyter Notebook
- Awesome-AI-Data-Guided-Projects
- -
Adopt for
- AI-Engineering.academy
- AI-Engineering.academy is a repository for learning and applying AI concepts, with a focus on fine-tuning, inference, and deployment strategies for large language models, delivered through Jupyter Notebooks under the MIT
- Awesome-AI-Data-Guided-Projects
- Awesome-AI-Data-Guided-Projects is a curated list featuring projects for building conversational chatbots using large language models and fine-tuning LLMs with LoRA, suitable for portfolio-building in AI.
Persona
- AI-Engineering.academy
- -
- Awesome-AI-Data-Guided-Projects
- -
Runtime
- AI-Engineering.academy
- -
- Awesome-AI-Data-Guided-Projects
- -
License
- AI-Engineering.academy
- MIT license, allowing for free use, modification, and distribution of the repository content
- Awesome-AI-Data-Guided-Projects
- GPL-3.0 License allows free use for personal and commercial purposes but requires users to make their modifications available under the same license terms.
Last pushed
- AI-Engineering.academy
- Feb 27, 2026
- Awesome-AI-Data-Guided-Projects
- May 5, 2024
Categories
- AI-Engineering.academy
- Inference & Serving, LLM Frameworks, Model Training
- Awesome-AI-Data-Guided-Projects
- Developer Tools, LLM Frameworks, Model Training
Trust and health
Maintenance
- AI-Engineering.academy
- Slowing (36%)
- Awesome-AI-Data-Guided-Projects
- Dormant (18%)
Days since push
- AI-Engineering.academy
- 203d
- Awesome-AI-Data-Guided-Projects
- 870d
Open issues (now)
- AI-Engineering.academy
- 9
- Awesome-AI-Data-Guided-Projects
- 3
Stars delta
- AI-Engineering.academy
- +20 (30d)
- Awesome-AI-Data-Guided-Projects
- +1 (30d)
Open issues delta
- AI-Engineering.academy
- +2 (30d)
- Awesome-AI-Data-Guided-Projects
- +1 (30d)
Full report
- AI-Engineering.academy
- Trust report
- Awesome-AI-Data-Guided-Projects
- Trust report
Choose AI-Engineering.academy if…
- License: AI-Engineering.academy is MIT, Awesome-AI-Data-Guided-Projects is GPL-3.0.
- Requirements: The repository is structured around Jupyter Notebooks, requiring a suitable environment to run these notebooks.
- Tags unique to AI-Engineering.academy: fine-tuning, inference, large-language-models, quantization.
- Also covers Inference & Serving.
- When you need a structured learning path for mastering applied AI concepts, including fine-tuning and deployment strategies for large language models
When NOT to use AI-Engineering.academy
- If you are seeking a repository that covers a broad range of AI topics beyond fine-tuning and deployment of large language models
- When you prefer a repository that already has comprehensive deployment strategies available, as the deployment section is marked as 'Coming Soon'
Choose Awesome-AI-Data-Guided-Projects if…
- License: Awesome-AI-Data-Guided-Projects is GPL-3.0, AI-Engineering.academy is MIT.
- Tags unique to Awesome-AI-Data-Guided-Projects: ai, computer-vision, datascience, deep-learning.
- Also covers Developer Tools.
- You need guided projects to build conversational chatbot applications.
When NOT to use Awesome-AI-Data-Guided-Projects
- Looking for end-to-end LLM training from scratch; this tool focuses more on fine-tuning and guided projects.
- In search of proprietary AI tools or custom enterprise solutions, as Awesome-AI-Data-Guided-Projects offers open-source project guides.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (adithya-s-k/AI-Engineering.academy) · observed Sep 20, 2026
- GitHub forks (adithya-s-k/AI-Engineering.academy) · observed Sep 20, 2026
- Last push (adithya-s-k/AI-Engineering.academy) · observed Feb 27, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 30, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (youssefHosni/Awesome-AI-Data-Guided-Projects) · observed Sep 23, 2026
- GitHub forks (youssefHosni/Awesome-AI-Data-Guided-Projects) · observed Sep 23, 2026
- Last push (youssefHosni/Awesome-AI-Data-Guided-Projects) · observed May 5, 2024
- License file (GPL-3.0) · observed Sep 23, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: AI-Engineering.academy 2.4k · Awesome-AI-Data-Guided-Projects 724 (synced Sep 20, 2026).
Common questions
- What is the difference between AI-Engineering.academy and Awesome-AI-Data-Guided-Projects?
- AI-Engineering.academy: Mastering Applied AI, One Concept at a Time. Awesome-AI-Data-Guided-Projects: A curated list of data science & AI guided projects for portfolio-building. See the comparison table for live GitHub stats and shared categories.
- When should I choose AI-Engineering.academy over Awesome-AI-Data-Guided-Projects?
- Choose AI-Engineering.academy over Awesome-AI-Data-Guided-Projects when License: AI-Engineering.academy is MIT, Awesome-AI-Data-Guided-Projects is GPL-3.0; Requirements: The repository is structured around Jupyter Notebooks, requiring a suitable environment to run these notebooks; Tags unique to AI-Engineering.academy: fine-tuning, inference, large-language-models, quantization; Also covers Inference & Serving; When you need a structured learning path for mastering applied AI concepts, including fine-tuning and deployment strategies for large language models.
- When should I choose Awesome-AI-Data-Guided-Projects over AI-Engineering.academy?
- Choose Awesome-AI-Data-Guided-Projects over AI-Engineering.academy when License: Awesome-AI-Data-Guided-Projects is GPL-3.0, AI-Engineering.academy is MIT; Tags unique to Awesome-AI-Data-Guided-Projects: ai, computer-vision, datascience, deep-learning; Also covers Developer Tools; You need guided projects to build conversational chatbot applications.
- When should I avoid AI-Engineering.academy?
- If you are seeking a repository that covers a broad range of AI topics beyond fine-tuning and deployment of large language models When you prefer a repository that already has comprehensive deployment strategies available, as the deployment section is marked as 'Coming Soon'
- When should I avoid Awesome-AI-Data-Guided-Projects?
- Looking for end-to-end LLM training from scratch; this tool focuses more on fine-tuning and guided projects. In search of proprietary AI tools or custom enterprise solutions, as Awesome-AI-Data-Guided-Projects offers open-source project guides.
- Is AI-Engineering.academy or Awesome-AI-Data-Guided-Projects more popular on GitHub?
- AI-Engineering.academy has more GitHub stars (2,383 vs 724). Stars measure visibility, not whether either tool fits your constraints.
- Are AI-Engineering.academy and Awesome-AI-Data-Guided-Projects open source?
- Yes - both are open-source projects on GitHub (AI-Engineering.academy: MIT, Awesome-AI-Data-Guided-Projects: GPL-3.0).
- Where can I find alternatives to AI-Engineering.academy or Awesome-AI-Data-Guided-Projects?
- GraphCanon lists graph-backed alternatives at AI-Engineering.academy alternatives and Awesome-AI-Data-Guided-Projects alternatives (AI-Engineering.academy markdown twin, Awesome-AI-Data-Guided-Projects 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, AI-Engineering.academy or Awesome-AI-Data-Guided-Projects?
- AI-Engineering.academy: Slowing. Awesome-AI-Data-Guided-Projects: Dormant. 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 AI-Engineering.academy and Awesome-AI-Data-Guided-Projects?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AI-Engineering.academy trust report; Awesome-AI-Data-Guided-Projects trust report.