Made With ML vs 
Prompt Engineering Guide
Made With ML vs Prompt Engineering Guide compared for 2026 — features, license, ease of use, performance and which one to choose. From notebook to production system vs The reference on prompting, backed by papers.
Updated regularly · curated by OpenSourceAI.tech
Made With ML vs Prompt Engineering Guide at a glance
| Spec | Made With ML | Prompt Engineering Guide |
|---|---|---|
| Category | Learn AI & machine learning | Learn AI & machine learning |
| Type | Course (MLOps) | Guide + papers |
| License | MIT | MIT |
| Runs locally | Yes | Yes |
| Primary language | Python | Markdown |
| Ease of use | Intermediate | Beginner |
| Best for | the gap between a notebook and production | prompting based on evidence, not superstition |
| GitHub stars | 48.7k | 76.4k |
How Made With ML and Prompt Engineering Guide score
| Criterion | Made With ML | Prompt Engineering Guide |
|---|---|---|
| Popularity | 4.0 | 4.5 |
| Maintenance | 4.0 | 4.0 |
| Ease of use | 3.5 | 5.0 |
| 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
Made With ML
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
Prompt Engineering Guide
DAIR.AI's comprehensive guide to prompt engineering: techniques, patterns, risks, and the research papers behind each of them — not folk wisdom.
- Every technique is backed by a paper
- Covers adversarial prompting and risks
- Available in many languages
Key differences
Made With ML is course (MLOps), while Prompt Engineering Guide is guide + papers. Made With ML leans more intermediate-friendly, whereas Prompt Engineering Guide is more suited to beginner users. In short, Made With ML fits the gap between a notebook and production, and Prompt Engineering Guide fits prompting based on evidence, not superstition.
Which should you choose?
Choose Made With ML for the gap between a notebook and production. Choose Prompt Engineering Guide for prompting based on evidence, not superstition.
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 Made With ML or Prompt Engineering Guide easier to use?
Prompt Engineering Guide is generally the easier of the two to get started with, while Made With ML rewards more setup with more control.
Are Made With ML and Prompt Engineering Guide free?
Made With ML is free and open source (MIT), and Prompt Engineering Guide is free and open source (MIT). Neither charges for the core software.
Can I run Made With ML and Prompt Engineering Guide locally?
Made With ML: yes · Prompt Engineering Guide: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Made With ML vs Prompt Engineering Guide — which should I pick in 2026?
Choose Made With ML for the gap between a notebook and production. Choose Prompt Engineering Guide for prompting based on evidence, not superstition.
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