Made With ML vs 
Awesome LLM
Made With ML vs Awesome LLM compared for 2026 — features, license, ease of use, performance and which one to choose. From notebook to production system vs Papers, models and tools of the LLM era.
Updated regularly · curated by OpenSourceAI.tech
Made With ML vs Awesome LLM at a glance
| Spec | Made With ML | Awesome LLM |
|---|---|---|
| Category | Learn AI & machine learning | Learn AI & machine learning |
| Type | Course (MLOps) | Curated list |
| License | MIT | CC0-1.0 |
| Runs locally | Yes | Yes |
| Primary language | Python | Markdown |
| Ease of use | Intermediate | Beginner |
| Best for | the gap between a notebook and production | getting your bearings in the LLM landscape |
| GitHub stars | 48.7k | 27.1k |
How Made With ML and Awesome LLM score
| Criterion | Made With ML | Awesome LLM |
|---|---|---|
| Popularity | 4.0 | 3.5 |
| Maintenance | 4.0 | 3.0 |
| Ease of use | 3.5 | 5.0 |
| Privacy | 5.0 | 5.0 |
| License freedom | 5.0 | 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
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
Awesome LLM
A curated index of the LLM landscape: the foundational papers, the open models, the training and serving tools — updated as the field moves.
- Tracks papers, models and tools in one place
- Updated as the field moves
- Good entry point into the research
Key differences
Made With ML is course (MLOps), while Awesome LLM is curated list. Their licenses differ (MIT vs CC0-1.0), which matters if you ship a commercial product. Made With ML leans more intermediate-friendly, whereas Awesome LLM is more suited to beginner users. In short, Made With ML fits the gap between a notebook and production, and Awesome LLM fits getting your bearings in the LLM landscape.
Which should you choose?
Choose Made With ML for the gap between a notebook and production. Choose Awesome LLM for getting your bearings in the LLM landscape.
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 Awesome LLM easier to use?
Awesome LLM 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 Awesome LLM free?
Made With ML is free and open source (MIT), and Awesome LLM is free and open source (CC0-1.0). Neither charges for the core software.
Can I run Made With ML and Awesome LLM locally?
Made With ML: yes · Awesome LLM: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Made With ML vs Awesome LLM — which should I pick in 2026?
Choose Made With ML for the gap between a notebook and production. Choose Awesome LLM for getting your bearings in the LLM landscape.
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