Comparison
easy-dataset vs ai-engineering-from-scratch
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
vs
| easy-dataset | ai-engineering-from-scratch | |
|---|---|---|
| Tagline | A powerful tool for creating datasets for LLM fine-tuning, RAG, and Eval | Curriculum for building AI systems from scratch |
| Stars | 15k | 38k |
| Forks | 1.5k | 6.3k |
| Open issues | 122 | 94 |
| Language | JavaScript | Python |
| License | Other | MIT |
| Last pushed | May 1, 2026 | Jun 25, 2026 |
| Categories | Model Training, Evaluation & Observability | Model Training, AI Agents, Data & Retrieval, Inference & Serving, LLM Frameworks, Speech & Audio, Computer Vision, Developer Tools, Evaluation & Observability |
Choose easy-dataset if…
- Comparable on headline GitHub signals - decide on fit, not metrics.