Comparison
AI-For-Beginners vs human-eval
Verdict
Pick AI-For-Beginners when aI-For-Beginners is primarily Jupyter Notebook; human-eval is Python; pick human-eval when human-eval is primarily Python; AI-For-Beginners is Jupyter Notebook.
Markdown twin · AI-For-Beginners alternatives · human-eval alternatives
GraphCanon updated today
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Trust & integrity
| Signal | 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) | 3 low (3 low) As of today · osv@v1 | No criticals As of today · osv@v1 |
Tagline
- AI-For-Beginners
- 12 Weeks, 24 Lessons, AI for All!
- human-eval
- Code for the paper "Evaluating Large Language Models Trained on Code"
Stars
- AI-For-Beginners
- 52k
- human-eval
- 3.3k
Forks
- AI-For-Beginners
- 11k
- human-eval
- 449
Open issues
- AI-For-Beginners
- 4
- human-eval
- 42
Language
- AI-For-Beginners
- Jupyter Notebook
- human-eval
- Python
Adopt for
- AI-For-Beginners
- -
- human-eval
- -
Persona
- AI-For-Beginners
- -
- human-eval
- -
Runtime
- AI-For-Beginners
- -
- human-eval
- -
License
- AI-For-Beginners
- MIT
- human-eval
- MIT
Last pushed
- AI-For-Beginners
- Jul 8, 2026
- human-eval
- Jan 17, 2025
Categories
- AI-For-Beginners
- Model Training, Vector Databases, Computer Vision
- human-eval
- LLM Frameworks, Model Training, Evaluation & Observability
Trust and health
Maintenance
- AI-For-Beginners
- Very active (96%)
- human-eval
- Dormant (18%)
Days since push
- AI-For-Beginners
- 2d
- human-eval
- 540d
Open issues (now)
- AI-For-Beginners
- 4
- human-eval
- 42
Security scan
- AI-For-Beginners
- 3 low (3 low)
- human-eval
- No criticals
Full report
- AI-For-Beginners
- Trust report
- human-eval
- Trust report
Choose AI-For-Beginners if…
- AI-For-Beginners is primarily Jupyter Notebook; human-eval is Python.
- Tags unique to AI-For-Beginners: deep-learning, microsoft-for-beginners, ai, artificial-intelligence.
- Also covers Vector Databases, Computer Vision.
When NOT to use AI-For-Beginners
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Choose human-eval if…
- human-eval is primarily Python; AI-For-Beginners is Jupyter Notebook.
- Tags unique to human-eval: python.
- Also covers LLM Frameworks, 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/AI-For-Beginners) · observed Jul 11, 2026
- GitHub forks (microsoft/AI-For-Beginners) · observed Jul 11, 2026
- Last push (microsoft/AI-For-Beginners) · observed Jul 8, 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: AI-For-Beginners 52k · human-eval 3.3k (synced Jul 11, 2026).
Common questions
- What is the difference between AI-For-Beginners and human-eval?
- AI-For-Beginners: 12 Weeks, 24 Lessons, AI for All!. 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 AI-For-Beginners over human-eval?
- Choose AI-For-Beginners over human-eval when AI-For-Beginners is primarily Jupyter Notebook; human-eval is Python; Tags unique to AI-For-Beginners: deep-learning, microsoft-for-beginners, ai, artificial-intelligence; Also covers Vector Databases, Computer Vision.
- When should I choose human-eval over AI-For-Beginners?
- Choose human-eval over AI-For-Beginners when human-eval is primarily Python; AI-For-Beginners is Jupyter Notebook; Tags unique to human-eval: python; Also covers LLM Frameworks, Evaluation & Observability.
- When should I avoid AI-For-Beginners?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- 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 AI-For-Beginners or human-eval more popular on GitHub?
- AI-For-Beginners has more GitHub stars (52,098 vs 3,294). Stars measure visibility, not whether either tool fits your constraints.
- Are AI-For-Beginners and human-eval open source?
- Yes - both are open-source projects on GitHub (AI-For-Beginners: MIT, human-eval: MIT).
- Where can I find alternatives to AI-For-Beginners or human-eval?
- GraphCanon lists graph-backed alternatives at AI-For-Beginners alternatives and human-eval alternatives (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, AI-For-Beginners or human-eval?
- 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 AI-For-Beginners and human-eval?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AI-For-Beginners trust report; human-eval trust report.