Dive into Deep Learning vs 
fastai Book (fastbook)
Dive into Deep Learning vs fastai Book (fastbook) compared for 2026 — features, license, ease of use, performance and which one to choose. The textbook where every equation is runnable vs Deep learning for coders, top-down.
Updated regularly · curated by OpenSourceAI.tech
Dive into Deep Learning vs fastai Book (fastbook) at a glance
| Spec | Dive into Deep Learning | fastai Book (fastbook) |
|---|---|---|
| Category | Learn AI & machine learning | Learn AI & machine learning |
| Type | Interactive book | Book + course |
| License | CC-BY-SA-4.0 | Custom (free to read) |
| Runs locally | Yes | Yes |
| Primary language | Jupyter | Jupyter |
| Ease of use | Intermediate | Beginner |
| Best for | a rigorous foundation you can actually execute | coders who want results before theory |
| GitHub stars | 29.2k | 25.1k |
How Dive into Deep Learning and fastai Book (fastbook) score
| Criterion | Dive into Deep Learning | fastai Book (fastbook) |
|---|---|---|
| Popularity | 3.5 | 3.5 |
| Maintenance | 2.0 | 2.0 |
| Ease of use | 3.5 | 5.0 |
| Privacy | 5.0 | 5.0 |
| License freedom | 3.5 | 3.5 |
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
Dive into Deep Learning
An open textbook used in 500+ universities: every concept comes with maths, runnable code and exercises, available for PyTorch, TensorFlow, JAX and MXNet.
- Adopted by 500+ universities worldwide
- Every equation has runnable code beside it
- Works with PyTorch, TensorFlow and JAX
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
Key differences
Dive into Deep Learning is interactive book, while fastai Book (fastbook) is book + course. Their licenses differ (CC-BY-SA-4.0 vs Custom (free to read)), which matters if you ship a commercial product. Dive into Deep Learning leans more intermediate-friendly, whereas fastai Book (fastbook) is more suited to beginner users. In short, Dive into Deep Learning fits a rigorous foundation you can actually execute, and fastai Book (fastbook) fits coders who want results before theory.
Which should you choose?
Choose Dive into Deep Learning for a rigorous foundation you can actually execute. Choose fastai Book (fastbook) for coders who want results before theory.
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 Dive into Deep Learning or fastai Book (fastbook) easier to use?
fastai Book (fastbook) is generally the easier of the two to get started with, while Dive into Deep Learning rewards more setup with more control.
Are Dive into Deep Learning and fastai Book (fastbook) free?
Dive into Deep Learning is free and open source (CC-BY-SA-4.0), and fastai Book (fastbook) is free and open source (Custom (free to read)). Neither charges for the core software.
Can I run Dive into Deep Learning and fastai Book (fastbook) locally?
Dive into Deep Learning: yes · fastai Book (fastbook): yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Dive into Deep Learning vs fastai Book (fastbook) — which should I pick in 2026?
Choose Dive into Deep Learning for a rigorous foundation you can actually execute. Choose fastai Book (fastbook) for coders who want results before theory.
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