✨ Automate Your ML Pipelines with MLFCrafter (Open Source)

Burak Civelek — Fri, 25 Jul 2025 10:48:34 +0000

Hey Devs! 👋

I recently built a small open-source Python package called MLFCrafter that helps you build and run ML pipelines faster — no more repetitive boilerplate!

Instead of writing tons of lines to load, clean, scale, train, and evaluate a model, you just chain crafters together.

🛠 What is MLFCrafter?

MLFCrafter is a modular machine learning pipeline tool.
Each step in the pipeline is called a crafter, and you can compose them like building blocks.

Here’s how it looks in action:

from mlfcrafter import MLFChain, DataIngestCrafter, CleanerCrafter, ScalerCrafter, ModelCrafter, ScorerCrafter, DeployCrafter

chain = MLFChain(
    DataIngestCrafter(data_path="data/iris.csv"),
    CleanerCrafter(strategy="auto"),
    ScalerCrafter(scaler_type="standard"),
    ModelCrafter(model_name="random_forest"),
    ScorerCrafter(),
    DeployCrafter()
)

results = chain.run(target_column="species")
print(f"Test Score: {results['test_score']:.4f}")

That’s it — your full ML pipeline is up and running.

⚙️ Features

📁 Load your own dataset easily
🧼 Clean and scale with customizable settings
🤖 Train a model (logistic regression, random forest, etc.)
📊 Get evaluation metrics
🚀 Deploy your pipeline
🧪 Automate versioning + publishing with GitHub Workflows
🛠 Easy to extend with your own custom crafters

📦 Installation

pip install mlfcrafter

🔗 Links

GitHub: https://github.com/brkcvlk/MLFCrafter

PyPI: https://pypi.org/project/mlfcrafter

🙏 Let’s Connect

This is still early stage and I’d love feedback, ideas, or contributions.
If you try it out and hit any issues — I’m here to help!

Thanks for reading! 🚀
Feel free to drop a comment if you find this useful ❤️