🚀 OneLinerML is redefining how developers and businesses approach Machine Learning. Forget complex pipelines, heavy AutoML frameworks, and manual tuning—train, deploy, and monitor ML models with a single line of code.

🌍 Designed for speed, simplicity, and scalability, OneLinerML makes AI accessible to everyone—from startups to enterprise teams.

📌 Now available on PyPI:

pip install onelinerml

🎯 Why OneLinerML?

💡 The Problem

• Machine Learning is still too complex for many developers.
• Existing solutions (AutoML, Scikit-Learn, TensorFlow) require too many steps.
• No easy way to train, deploy, and monitor models quickly without deep ML expertise.

🚀 Our Solution

OneLinerML removes all friction in the ML workflow:

✅ Train a model in one line (no manual preprocessing or feature engineering).

✅ Auto-tunes hyperparameters for better results.

✅ API-first design → deploy instantly as an ML service.

✅ Built-in monitoring dashboard for real-time insights.

📌 One Line to Train & Deploy an ML Model:

from onelinerml import train

model, metrics, api_url, dashboard_url = train("data.csv", model="random_forest", target_column="price")

print("📊 Metrics:", metrics)
print("🚀 API URL:", api_url)
print("📊 Dashboard:", dashboard_url)

🚀 Key Features

1️⃣ Instant Model Training

No need for manual preprocessing, feature selection, or data engineering—OneLinerML automates it all.