Open-Source AI · Learn AI & machine learning

Virgilio vs Made With ML

Virgilio vs Made With ML compared for 2026 — features, license, ease of use, performance and which one to choose. A structured mentor for data science and ML vs From notebook to production system.

Updated regularly · curated by OpenSourceAI.tech

Choose Virgilio for people who feel lost in the sea of ML tutorials. Choose Made With ML for the gap between a notebook and production.

Virgilio vs Made With ML at a glance

Spec	Virgilio	Made With ML
Category	Learn AI & machine learning	Learn AI & machine learning
Type	Learning path	Course (MLOps)
License	MIT	MIT
Runs locally	Yes	Yes
Primary language	Markdown	Python
Ease of use	Beginner	Intermediate
Best for	people who feel lost in the sea of ML tutorials	the gap between a notebook and production
GitHub stars	14.9k	48.7k

How Virgilio and Made With ML score

🤝 Too close to call — Virgilio and Made With ML land within a hair (4.2 vs 4.3 / 5). Pick on fit, not on score.

Criterion	Virgilio	Made With ML
Popularity	3.0	4.0
Maintenance	3.0	4.0
Ease of use	5.0	3.5
Privacy	5.0	5.0
License freedom	5.0	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

Virgilio

Learning path · MIT

Virgilio is a free, open-source study path that takes you from zero to competent in data science and machine learning, organising hundreds of scattered resources into a coherent progression with clear prerequisites at each step.

Turns a chaotic field into a clear, ordered path
Curated rather than exhaustive — no filler
Explains WHY each step matters, not just what to read

See the Virgilio 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

Virgilio is learning path, while Made With ML is course (MLOps). Virgilio leans more beginner-friendly, whereas Made With ML is more suited to intermediate users. In short, Virgilio fits people who feel lost in the sea of ML tutorials, and Made With ML fits the gap between a notebook and production.

Which should you choose?

Choose Virgilio for people who feel lost in the sea of ML tutorials. 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 Virgilio or Made With ML easier to use?

Virgilio is generally the easier of the two to get started with, while Made With ML rewards more setup with more control.

Are Virgilio and Made With ML free?

Virgilio is free and open source (MIT), and Made With ML is free and open source (MIT). Neither charges for the core software.

Can I run Virgilio and Made With ML locally?

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

Virgilio vs Made With ML — which should I pick in 2026?

Choose Virgilio for people who feel lost in the sea of ML tutorials. Choose Made With ML for the gap between a notebook and production.

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