Made With ML vs 
OpenAI Cookbook
Made With ML vs OpenAI Cookbook compared for 2026 — features, license, ease of use, performance and which one to choose. From notebook to production system vs Practical recipes that work with any OpenAI-compatible API.
Updated regularly · curated by OpenSourceAI.tech
Made With ML vs OpenAI Cookbook at a glance
| Spec | Made With ML | OpenAI Cookbook |
|---|---|---|
| Category | Learn AI & machine learning | Learn AI & machine learning |
| Type | Course (MLOps) | Recipes |
| License | MIT | MIT |
| Runs locally | Yes | Yes |
| Primary language | Python | Jupyter |
| Ease of use | Intermediate | Intermediate |
| Best for | the gap between a notebook and production | copy-paste patterns that actually work |
| GitHub stars | 48.7k | 74.7k |
How Made With ML and OpenAI Cookbook score
| Criterion | Made With ML | OpenAI Cookbook |
|---|---|---|
| Popularity | 4.0 | 4.5 |
| Maintenance | 4.0 | 5.0 |
| Ease of use | 3.5 | 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
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
OpenAI Cookbook
A collection of working code recipes for LLM tasks — embeddings, RAG, function calling, evaluation. Written for the OpenAI API, but the patterns apply to any OpenAI-compatible endpoint, including your local models.
- Working code, not pseudo-code
- The patterns work with local models too (Ollama, vLLM)
- Covers evaluation, which most guides skip
Key differences
Made With ML is course (MLOps), while OpenAI Cookbook is recipes. In short, Made With ML fits the gap between a notebook and production, and OpenAI Cookbook fits copy-paste patterns that actually work.
Which should you choose?
Choose Made With ML for the gap between a notebook and production. Choose OpenAI Cookbook for copy-paste patterns that actually work.
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 OpenAI Cookbook easier to use?
Both sit at a similar level (Intermediate). Your choice should come down to fit rather than difficulty.
Are Made With ML and OpenAI Cookbook free?
Made With ML is free and open source (MIT), and OpenAI Cookbook is free and open source (MIT). Neither charges for the core software.
Can I run Made With ML and OpenAI Cookbook locally?
Made With ML: yes · OpenAI Cookbook: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Made With ML vs OpenAI Cookbook — which should I pick in 2026?
Choose Made With ML for the gap between a notebook and production. Choose OpenAI Cookbook for copy-paste patterns that actually work.
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