---
title: "pratical-llms vs Made-With-ML"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/antoniogr7-pratical-llms-vs-gokumohandas-made-with-ml"
tools: ["antoniogr7-pratical-llms", "gokumohandas-made-with-ml"]
---

# pratical-llms vs Made-With-ML

*GraphCanon updated Jul 15, 2026*

## Verdict

Pick pratical-llms when tags unique to pratical-llms: genai, jupyter-notebook, llm, llm-evaluation; pick Made-With-ML when tags unique to Made-With-ML: data-engineering, data-quality, data-science, deep-learning.

[pratical-llms](https://github.com/AntonioGr7/pratical-llms) reports 53 GitHub stars, 15 forks, and 0 open issues, last pushed Jan 13, 2025. [Made-With-ML](https://madewithml.com) has 49k stars, 7.7k forks, and 27 open issues, last pushed Mar 4, 2026. Figures are from public GitHub metadata via [pratical-llms's repository](https://github.com/AntonioGr7/pratical-llms) and [Made-With-ML's repository](https://github.com/GokuMohandas/Made-With-ML).

| | [pratical-llms](/tools/antoniogr7-pratical-llms.md) | [Made-With-ML](/tools/gokumohandas-made-with-ml.md) |
| --- | --- | --- |
| Tagline | A collection of hand on notebook for LLMs practitioner | Learn how to develop, deploy and iterate on production-grade ML applications. |
| Stars | 53 | 48,703 |
| Forks | 15 | 7,661 |
| Open issues | 0 | 27 |
| Language | Jupyter Notebook | Jupyter Notebook |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | - | MIT |
| Categories | Inference & Serving, LLM Frameworks, Model Training | AI Agents, LLM Frameworks, Model Training |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [pratical-llms](/tools/antoniogr7-pratical-llms.md) | [Made-With-ML](/tools/gokumohandas-made-with-ml.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Slowing (36%) |
| Days since push | 547d | 132d |
| Open issues (now) | 0 | 27 |
| Full report | [trust report](/tools/antoniogr7-pratical-llms/trust.md) | [trust report](/tools/gokumohandas-made-with-ml/trust.md) |

## Choose when

### Choose pratical-llms if…

- Tags unique to pratical-llms: genai, jupyter-notebook, llm, llm-evaluation.
- Also covers Inference & Serving.
- Leaner open-issue backlog (0).

### Choose Made-With-ML if…

- Tags unique to Made-With-ML: data-engineering, data-quality, data-science, deep-learning.
- Also covers AI Agents.
- More GitHub stars (49k vs 53) - visibility, not fit.

## When NOT to use pratical-llms

- Last GitHub push was 548 days ago (dormant maintenance, Jan 13, 2025). Validate activity before betting a new project on pratical-llms.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

## When NOT to use Made-With-ML

- Last GitHub push was 132 days ago (slowing maintenance, Mar 4, 2026). Validate activity before betting a new project on Made-With-ML.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

## Common questions

### What is the difference between pratical-llms and Made-With-ML?

pratical-llms: A collection of hand on notebook for LLMs practitioner. Made-With-ML: Learn how to develop, deploy and iterate on production-grade ML applications.. See the comparison table for live GitHub stats and shared categories.

### When should I choose pratical-llms over Made-With-ML?

Choose pratical-llms over Made-With-ML when Tags unique to pratical-llms: genai, jupyter-notebook, llm, llm-evaluation; Also covers Inference & Serving; Leaner open-issue backlog (0).

### When should I choose Made-With-ML over pratical-llms?

Choose Made-With-ML over pratical-llms when Tags unique to Made-With-ML: data-engineering, data-quality, data-science, deep-learning; Also covers AI Agents; More GitHub stars (49k vs 53) - visibility, not fit.

### When should I avoid pratical-llms?

Last GitHub push was 548 days ago (dormant maintenance, Jan 13, 2025). Validate activity before betting a new project on pratical-llms. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

### When should I avoid Made-With-ML?

Last GitHub push was 132 days ago (slowing maintenance, Mar 4, 2026). Validate activity before betting a new project on Made-With-ML. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

### Is pratical-llms or Made-With-ML more popular on GitHub?

Made-With-ML has more GitHub stars (48,703 vs 53). Stars measure visibility, not whether either tool fits your constraints.

### Are pratical-llms and Made-With-ML open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to pratical-llms or Made-With-ML?

GraphCanon lists graph-backed alternatives at [pratical-llms alternatives](/tools/antoniogr7-pratical-llms/alternatives) and [Made-With-ML alternatives](/tools/gokumohandas-made-with-ml/alternatives) ([pratical-llms markdown twin](/tools/antoniogr7-pratical-llms/alternatives.md), [Made-With-ML markdown twin](/tools/gokumohandas-made-with-ml/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/antoniogr7-pratical-llms-vs-gokumohandas-made-with-ml.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, pratical-llms or Made-With-ML?

pratical-llms: Dormant. Made-With-ML: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for pratical-llms and Made-With-ML?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [pratical-llms trust report](/tools/antoniogr7-pratical-llms/trust); [Made-With-ML trust report](/tools/gokumohandas-made-with-ml/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=antoniogr7-pratical-llms`](/api/graphcanon/graph?tool=antoniogr7-pratical-llms)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_