Open-Source AI · Learn AI & machine learning

fastai Book (fastbook) vs Made With ML

fastai Book (fastbook) vs Made With ML compared for 2026 — features, license, ease of use, performance and which one to choose. Deep learning for coders, top-down vs From notebook to production system.

Updated regularly · curated by OpenSourceAI.tech

Choose fastai Book (fastbook) for coders who want results before theory. Choose Made With ML for the gap between a notebook and production.

fastai Book (fastbook) vs Made With ML at a glance

Specfastai Book (fastbook)Made With ML
CategoryLearn AI & machine learningLearn AI & machine learning
TypeBook + courseCourse (MLOps)
LicenseCustom (free to read)MIT
Runs locallyYesYes
Primary languageJupyterPython
Ease of useBeginnerIntermediate
Best forcoders who want results before theorythe gap between a notebook and production
GitHub stars25.1k48.7k

How fastai Book (fastbook) and Made With ML score

🏆 Overall edge: Made With ML — 4.3 vs 3.8 / 5
Criterionfastai Book (fastbook)Made With ML
Popularity3.54.0
Maintenance2.04.0
Ease of use5.03.5
Privacy5.05.0
License freedom3.55.0

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)

Book + course · Custom (free to read)

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
See the fastai Book (fastbook) page →

Made With ML

Course (MLOps) · MIT

Goku Mohandas' course on taking ML from a notebook to a reliable production system: testing, CI/CD, monitoring, and the engineering most courses ignore.

  • Covers the engineering that courses skip
  • Testing, CI/CD and monitoring for ML
  • Written by a practitioner, not an academic
See the Made With ML page →

Key differences

fastai Book (fastbook) is book + course, while Made With ML is course (MLOps). Their licenses differ (Custom (free to read) vs MIT), which matters if you ship a commercial product. fastai Book (fastbook) leans more beginner-friendly, whereas Made With ML is more suited to intermediate users. In short, fastai Book (fastbook) fits coders who want results before theory, and Made With ML fits the gap between a notebook and production.

Which should you choose?

Choose fastai Book (fastbook) for coders who want results before theory. Choose Made With ML for the gap between a notebook and production.

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 Made With ML easier to use?

fastai Book (fastbook) is generally the easier of the two to get started with, while Made With ML rewards more setup with more control.

Are fastai Book (fastbook) and Made With ML free?

fastai Book (fastbook) is free and open source (Custom (free to read)), and Made With ML is free and open source (MIT). Neither charges for the core software.

Can I run fastai Book (fastbook) and Made With ML locally?

fastai Book (fastbook): yes · Made With ML: yes. Both can be used without sending your data to a third-party cloud where their setup allows.

fastai Book (fastbook) vs Made With ML — which should I pick in 2026?

Choose fastai Book (fastbook) for coders who want results before theory. Choose Made With ML for the gap between a notebook and production.

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 →