Whylogs
Lightweight data logging for ML monitoring — profile data, detect anomalies
📋 Overview
Whylogs provides lightweight data logging for ML monitoring — profiling data, detecting anomalies, and integrating with existing monitoring stacks. Unlike Evidently (which focuses on reports), Whylogs emphasizes lightweight, scalable data logging that integrates with your existing infrastructure. It provides a Python library for profiling data and exporting metrics to any monitoring system.
✨ Key Features
- •4K+ GitHub stars — lightweight ML monitoring
- •Simple Python API
- •Statistical profiling
- •Anomaly detection
- •Export to any monitoring system
- •Apache 2.0 licensed
- •Lightweight design
- •Scalable architecture
🎯 The Problem It Solves
Teams need lightweight ML monitoring without heavy infrastructure. Whylogs provides a simple Python library that profiles data and exports metrics to existing monitoring stacks.
🔧 How It Works
Whylogs profiles data via Python API — log datasets, features, and model outputs. It generates statistical profiles (distributions, counts, types) that can be exported to any monitoring system. Lightweight and scalable — designed for production pipelines.
🚀 Installation & Quick Start
Installation
See websiteQuick Start
- See documentation
✅ Pros
- •Lightweight and scalable
- •Simple Python API
- •Export to any monitoring system
- •Apache 2.0 licensed
- •Lightweight design
- •Scalable architecture
❌ Cons
- •Fewer features than Evidently
- •Smaller community
- •Free tier tight limits
- •Limited features
💬 Practitioner Verdict
“Whylogs is the best lightweight ML monitoring tool — the simple Python API is genuinely useful. The trade-off: fewer features than Evidently, smaller community, and the free tier has tight limits. For teams that need lightweight monitoring, Whylogs is the default.”
Self-Hosted (Free)
Open source, MIT/Apache licensed. Run it yourself.
⭐ Star & Clone on GitHubFree forever. Your infrastructure, your data.
📊 Specifications
- Language
- Python
- License
- Apache-2.0
- Platform
- Linux, macOS, Windows
- Supported Models
- REST API, CLI
💰 Pricing Reality
100% free Apache 2.0. No paid tier.