fastai Book (fastbook) vs 
Hands-On Machine Learning
fastai Book (fastbook) vs Hands-On Machine Learning compared for 2026 — features, license, ease of use, performance and which one to choose. Deep learning for coders, top-down vs The notebooks of the best-selling ML book.
Updated regularly · curated by OpenSourceAI.tech
fastai Book (fastbook) vs Hands-On Machine Learning at a glance
| Spec | fastai Book (fastbook) | Hands-On Machine Learning |
|---|---|---|
| Category | Learn AI & machine learning | Learn AI & machine learning |
| Type | Book + course | Book notebooks |
| License | Custom (free to read) | Apache-2.0 |
| Runs locally | Yes | Yes |
| Primary language | Jupyter | Jupyter |
| Ease of use | Beginner | Intermediate |
| Best for | coders who want results before theory | the classic path from scikit-learn to deep learning |
| GitHub stars | 25.1k | — |
How fastai Book (fastbook) and Hands-On Machine Learning score
| Criterion | fastai Book (fastbook) | Hands-On Machine Learning |
|---|---|---|
| Popularity | 3.5 | n/a |
| Maintenance | 2.0 | n/a |
| Ease of use | 5.0 | 3.5 |
| Privacy | 5.0 | 5.0 |
| License freedom | 3.5 | 5.0 |
Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.
What each one is
fastai Book (fastbook)
The fast.ai book: teaches deep learning by getting you to a working model in lesson one, then peeling back the layers — the opposite of the usual maths-first approach.
- You train a real model in the first lesson
- Top-down: theory arrives when you need it
- Taught tens of thousands of practitioners
Hands-On Machine Learning
Aurélien Géron's companion notebooks: scikit-learn for classical ML, then Keras and TensorFlow for deep learning — the reference practical ML book.
- The most widely used practical ML book
- Every chapter is a runnable notebook
- Covers classical ML properly, not just neural nets
Key differences
fastai Book (fastbook) is book + course, while Hands-On Machine Learning is book notebooks. Their licenses differ (Custom (free to read) vs Apache-2.0), which matters if you ship a commercial product. fastai Book (fastbook) leans more beginner-friendly, whereas Hands-On Machine Learning is more suited to intermediate users. In short, fastai Book (fastbook) fits coders who want results before theory, and Hands-On Machine Learning fits the classic path from scikit-learn to deep learning.
Which should you choose?
Choose fastai Book (fastbook) for coders who want results before theory. Choose Hands-On Machine Learning for the classic path from scikit-learn to deep learning.
There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.
Frequently asked questions
Is fastai Book (fastbook) or Hands-On Machine Learning easier to use?
fastai Book (fastbook) is generally the easier of the two to get started with, while Hands-On Machine Learning rewards more setup with more control.
Are fastai Book (fastbook) and Hands-On Machine Learning free?
fastai Book (fastbook) is free and open source (Custom (free to read)), and Hands-On Machine Learning is free and open source (Apache-2.0). Neither charges for the core software.
Can I run fastai Book (fastbook) and Hands-On Machine Learning locally?
fastai Book (fastbook): yes · Hands-On Machine Learning: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
fastai Book (fastbook) vs Hands-On Machine Learning — which should I pick in 2026?
Choose fastai Book (fastbook) for coders who want results before theory. Choose Hands-On Machine Learning for the classic path from scikit-learn to deep learning.
People also compare
Explore more open-source AI
Browse thousands of open-source AI tools, models and projects — all curated in one place, updated daily.
Explore the directory →