---
title: "react-native-transformers vs Made-With-ML"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/daviddaytw-react-native-transformers-vs-gokumohandas-made-with-ml"
tools: ["daviddaytw-react-native-transformers", "gokumohandas-made-with-ml"]
---

# react-native-transformers vs Made-With-ML

*GraphCanon updated Jul 15, 2026*

## Verdict

Pick react-native-transformers when react-native-transformers is primarily TypeScript; Made-With-ML is Jupyter Notebook; pick Made-With-ML when made-With-ML is primarily Jupyter Notebook; react-native-transformers is TypeScript.

[react-native-transformers](https://www.npmjs.com/package/react-native-transformers) reports 133 GitHub stars, 16 forks, and 7 open issues, last pushed Jul 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 [react-native-transformers's repository](https://github.com/daviddaytw/react-native-transformers) and [Made-With-ML's repository](https://github.com/GokuMohandas/Made-With-ML).

| | [react-native-transformers](/tools/daviddaytw-react-native-transformers.md) | [Made-With-ML](/tools/gokumohandas-made-with-ml.md) |
| --- | --- | --- |
| Tagline | Run local LLM from Huggingface in React-Native or Expo using onnxruntime. | Learn how to develop, deploy and iterate on production-grade ML applications. |
| Stars | 133 | 48,703 |
| Forks | 16 | 7,661 |
| Open issues | 7 | 27 |
| Language | TypeScript | Jupyter Notebook |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | 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._

| | [react-native-transformers](/tools/daviddaytw-react-native-transformers.md) | [Made-With-ML](/tools/gokumohandas-made-with-ml.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Slowing (36%) |
| Days since push | 367d | 132d |
| Open issues (now) | 7 | 27 |
| Full report | [trust report](/tools/daviddaytw-react-native-transformers/trust.md) | [trust report](/tools/gokumohandas-made-with-ml/trust.md) |

## Choose when

### Choose react-native-transformers if…

- react-native-transformers is primarily TypeScript; Made-With-ML is Jupyter Notebook.
- Tags unique to react-native-transformers: expo, huggingface, local-llm, onnx.
- Also covers Inference & Serving.

### Choose Made-With-ML if…

- Made-With-ML is primarily Jupyter Notebook; react-native-transformers is TypeScript.
- Tags unique to Made-With-ML: data-engineering, data-quality, data-science, deep-learning.
- Also covers AI Agents.

## When NOT to use react-native-transformers

- Last GitHub push was 367 days ago (dormant maintenance, Jul 13, 2025). Validate activity before betting a new project on react-native-transformers.
- 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 react-native-transformers and Made-With-ML?

react-native-transformers: Run local LLM from Huggingface in React-Native or Expo using onnxruntime.. 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 react-native-transformers over Made-With-ML?

Choose react-native-transformers over Made-With-ML when react-native-transformers is primarily TypeScript; Made-With-ML is Jupyter Notebook; Tags unique to react-native-transformers: expo, huggingface, local-llm, onnx; Also covers Inference & Serving.

### When should I choose Made-With-ML over react-native-transformers?

Choose Made-With-ML over react-native-transformers when Made-With-ML is primarily Jupyter Notebook; react-native-transformers is TypeScript; Tags unique to Made-With-ML: data-engineering, data-quality, data-science, deep-learning; Also covers AI Agents.

### When should I avoid react-native-transformers?

Last GitHub push was 367 days ago (dormant maintenance, Jul 13, 2025). Validate activity before betting a new project on react-native-transformers. 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 react-native-transformers or Made-With-ML more popular on GitHub?

Made-With-ML has more GitHub stars (48,703 vs 133). Stars measure visibility, not whether either tool fits your constraints.

### Are react-native-transformers and Made-With-ML open source?

Yes - both are open-source projects on GitHub (react-native-transformers: MIT, Made-With-ML: MIT).

### Where can I find alternatives to react-native-transformers or Made-With-ML?

GraphCanon lists graph-backed alternatives at [react-native-transformers alternatives](/tools/daviddaytw-react-native-transformers/alternatives) and [Made-With-ML alternatives](/tools/gokumohandas-made-with-ml/alternatives) ([react-native-transformers markdown twin](/tools/daviddaytw-react-native-transformers/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/daviddaytw-react-native-transformers-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, react-native-transformers or Made-With-ML?

react-native-transformers: 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 react-native-transformers and Made-With-ML?

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

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=daviddaytw-react-native-transformers`](/api/graphcanon/graph?tool=daviddaytw-react-native-transformers)
- 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/_