Backed by Y Combinator X25
The MLOps platform
built for the modern teams
The open source platform for tracking, optimizing, and collaborating on machine learning experiments.

Enterprise Experiment Tracking Platform
Build, track, and deploy machine learning models with confidence. Our platform provides everything you need for successful ML operations.
Model Performance
Track model accuracy and performance metrics over time.
Watch the Model Learn
Track the model's parameters and gradients in real-time.
param/fc.weight
Reproducibility & Git Status
Track experiments, model versions, and uncommitted files in real‑time.
BERT Fine-tuning
git: a2dg3t
ResNet50 v2.1
git: b7h5k1
Uncommitted files
XGBoost Tuning
git: c9j4l0
YOLOv5 v1.3
git: d3m8n2
Uncommitted files
Identify Problems
Stay informed with real-time alerts about your model's performance
Email notifications
Critical issue alerts
Performance monitoring
Seamless Integration
Seamlessly connect with your code base and development workflow.
Your CodeML Pipeline
Open Source. Powerful. Fast.
100% compatible with Weights & Biases API for easy migration. Community-driven development with enterprise features.
model.py
1import mlop23# Define your config4config = {5"learning_rate": 0.02,6"epochs": 100,7}89# Initialize a run10run = mlop.init(11project="vision-language-model",12name="gpt4o-vision",13)1415# Train the model16for epoch in range(config["epochs"]):1718# Log metrics19run.log({20"loss": loss,21"accuracy": accuracy,22"img": mlop.Image(gen_model)23})2425run.finish()
Start tracking your ML experiments in minutes. No credit card required.