Comparison
generative-ai-for-beginners vs human-eval
Verdict
Pick generative-ai-for-beginners when generative-ai-for-beginners is primarily Jupyter Notebook; human-eval is Python; pick human-eval when human-eval is primarily Python; generative-ai-for-beginners is Jupyter Notebook.
Markdown twin · generative-ai-for-beginners alternatives · human-eval alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | generative-ai-for-beginners | human-eval |
|---|---|---|
| Maintenance | Very active (2d since push) As of today · github_public_v1 | Dormant (540d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No criticals As of today · osv@v1 |
Tagline
- generative-ai-for-beginners
- 21 Lessons, Get Started Building with Generative AI
- human-eval
- Code for the paper "Evaluating Large Language Models Trained on Code"
Stars
- generative-ai-for-beginners
- 113k
- human-eval
- 3.3k
Forks
- generative-ai-for-beginners
- 61k
- human-eval
- 449
Open issues
- generative-ai-for-beginners
- 7
- human-eval
- 42
Language
- generative-ai-for-beginners
- Jupyter Notebook
- human-eval
- Python
Adopt for
- generative-ai-for-beginners
- -
- human-eval
- -
Persona
- generative-ai-for-beginners
- -
- human-eval
- -
Runtime
- generative-ai-for-beginners
- -
- human-eval
- -
License
- generative-ai-for-beginners
- MIT
- human-eval
- MIT
Last pushed
- generative-ai-for-beginners
- Jul 9, 2026
- human-eval
- Jan 17, 2025
Categories
- generative-ai-for-beginners
- Model Training, LLM Frameworks
- human-eval
- LLM Frameworks, Model Training, Evaluation & Observability
Trust and health
Maintenance
- generative-ai-for-beginners
- Very active (96%)
- human-eval
- Dormant (18%)
Days since push
- generative-ai-for-beginners
- 2d
- human-eval
- 540d
Open issues (now)
- generative-ai-for-beginners
- 7
- human-eval
- 42
Security scan
- generative-ai-for-beginners
- No lockfile
- human-eval
- No criticals
Full report
- generative-ai-for-beginners
- Trust report
- human-eval
- Trust report
Choose generative-ai-for-beginners if…
- generative-ai-for-beginners is primarily Jupyter Notebook; human-eval is Python.
- Tags unique to generative-ai-for-beginners: generativeai, dall-e, ai, generative-ai.
- More GitHub stars (113k vs 3.3k) - visibility, not fit.
When NOT to use generative-ai-for-beginners
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose human-eval if…
- human-eval is primarily Python; generative-ai-for-beginners is Jupyter Notebook.
- Tags unique to human-eval: python.
- Also covers Evaluation & Observability.
When NOT to use human-eval
- Last GitHub push was 540 days ago (dormant maintenance, Jan 17, 2025). Validate activity before betting a new project on human-eval.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (microsoft/generative-ai-for-beginners) · observed Jul 11, 2026
- GitHub forks (microsoft/generative-ai-for-beginners) · observed Jul 11, 2026
- Last push (microsoft/generative-ai-for-beginners) · observed Jul 9, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (openai/human-eval) · observed Jul 11, 2026
- GitHub forks (openai/human-eval) · observed Jul 11, 2026
- Last push (openai/human-eval) · observed Jan 17, 2025
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: generative-ai-for-beginners 113k · human-eval 3.3k (synced Jul 11, 2026).
Common questions
- What is the difference between generative-ai-for-beginners and human-eval?
- generative-ai-for-beginners: 21 Lessons, Get Started Building with Generative AI. human-eval: Code for the paper "Evaluating Large Language Models Trained on Code". See the comparison table for live GitHub stats and shared categories.
- When should I choose generative-ai-for-beginners over human-eval?
- Choose generative-ai-for-beginners over human-eval when generative-ai-for-beginners is primarily Jupyter Notebook; human-eval is Python; Tags unique to generative-ai-for-beginners: generativeai, dall-e, ai, generative-ai; More GitHub stars (113k vs 3.3k) - visibility, not fit.
- When should I choose human-eval over generative-ai-for-beginners?
- Choose human-eval over generative-ai-for-beginners when human-eval is primarily Python; generative-ai-for-beginners is Jupyter Notebook; Tags unique to human-eval: python; Also covers Evaluation & Observability.
- When should I avoid generative-ai-for-beginners?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- When should I avoid human-eval?
- Last GitHub push was 540 days ago (dormant maintenance, Jan 17, 2025). Validate activity before betting a new project on human-eval. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Is generative-ai-for-beginners or human-eval more popular on GitHub?
- generative-ai-for-beginners has more GitHub stars (112,866 vs 3,294). Stars measure visibility, not whether either tool fits your constraints.
- Are generative-ai-for-beginners and human-eval open source?
- Yes - both are open-source projects on GitHub (generative-ai-for-beginners: MIT, human-eval: MIT).
- Where can I find alternatives to generative-ai-for-beginners or human-eval?
- GraphCanon lists graph-backed alternatives at generative-ai-for-beginners alternatives and human-eval alternatives (generative-ai-for-beginners markdown twin, human-eval 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, generative-ai-for-beginners or human-eval?
- generative-ai-for-beginners: Very active. human-eval: 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 generative-ai-for-beginners and human-eval?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: generative-ai-for-beginners trust report; human-eval trust report.