Native Machine Learning in Dart: `ml_knn` and `ml_logistic

🧠 Introduction

The Dart ecosystem is growing fast — especially with Flutter. But when it comes to native machine learning (ML) capabilities inside Dart itself, the resources are almost nonexistent.

To address this gap, I’ve started developing a set of lightweight, native, and open-source machine learning packages in Dart. And now, the first two are officially published on pub.dev:

ml_knn: A K-Nearest Neighbors classifier
ml_logistic_regression: A Logistic Regression model

📦 What’s Available

1. `ml_knn`: K-Nearest Neighbors in Pure Dart

Use Cases:

Simple classification
Anomaly detection
Recommendation systems

Installation:

dependencies:
  ml_knn: ^1.0.0

Usage:

final model = KNN(k: 3);
model.fit([[1.0, 2.0], [2.0, 3.0], [3.0, 4.0]], ['A', 'B', 'B']);
final prediction = model.predict([[2.5, 3.5]]);
print(prediction); // ['B']

✅ Fully written in Dart

✅ Unit-tested and published on pub.dev

✅ Offline & mobile-friendly

2. `ml_logistic_regression`: Logistic Regression in Dart

Use Cases:

Binary classification
Probability-based predictions
Linear decision boundaries

Installation:

dependencies:
  ml_logistic_regression: ^1.0.0

Example:

final model = LogisticRegression(
  learningRate: 0.1,
  iterations: 1000,
  regularization: 0.01,
);

model.fit([[0, 0], [1, 1]], [0, 1]);
final prediction = model.predict([[0.5, 0.5]]);
print(prediction); // [0] or [1]

🧪 The model is validated with logical gate (AND) prediction tests

📈 All training is done natively in Dart – no Python, no API, no external libs.

🌱 Roadmap

This is just the beginning. Here's what I'm building next:

Package	Status	Description
`ml_knn`	✅ Live	K-Nearest Neighbors (classification)
`ml_logistic_regression`	✅ Live	Logistic regression
`ml_fuzzy_matcher`	🚧 In Progress	AI-powered string similarity
`ml_naive_bayes`	🔜 Planned	Naive Bayes Classifier
`ml_linear_regression`	🔜 Planned	Linear regression
`ml_kmeans`	🔜 Planned	Unsupervised clustering
`ml_fin_scorer`	🔜 Planned	AI-powered financial scoring

🚀 Eventually, all will be part of a complete framework:

ml_flutter_basics

🔍 Why Native ML in Dart?

No need to host an API or use Python backends
Works offline, ideal for mobile apps
Seamless experience inside the Flutter ecosystem
Lightweight and fast to prototype in Dart

🤝 Contribute or Collaborate

I’m actively maintaining these projects and open to contributions!

GitHub: github.com/CelkMehmett
Pub.dev: ml_knn, ml_logistic_regression

✨ If you like the project, please give it a star!

💬 Issues, ideas, PRs — all are welcome.

📢 Final Thoughts

Machine learning in Dart should be accessible, lightweight, and usable in real-world apps — without always needing to call an external service or switch languages.

I’ll keep building these tools and sharing them publicly.

Thanks for reading!

Let’s make Dart smarter — together.

🙋‍♂️ About Me

I'm a Flutter & AI developer building native ML tools in Dart.

Also working on productivity apps like MergeNius, GreenPact, and more.

Building in public. Open to collaboration.

Let’s connect!

Mehmet Çelik @celkmehmett