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mlop

Plans and prices

Free

Free

1 seat · Unlimited logging hours · 10 GB storage

Enterprise

Priced on request

Unlimited seats · Unlimited logging hours · Unlimited storage · 24/7 founder support

Pro

Priced on request

Up to 10 seats · Unlimited logging hours · 100 GB storage · Email support

Every plan, in full

On the record

API key security
The documentation says secure API keys are hashed and shown only when generated, while insecure keys are not hashed.docs.mlop.ai · read 8 Oct 2026
Availability
The homepage labels Compute as Private Beta and Inference as Coming Soon.mlop.ai · read 8 Oct 2026
Contact
The contact page offers a 15-minute consultation by Google Meet or Zoom.mlop.ai · read 8 Oct 2026
Experiment tracking
The platform tracks and compares experiments, model versions, hyperparameters, metrics, artifacts, and gradients.docs.mlop.ai · read 8 Oct 2026
Framework integrations
The documentation provides migration instructions for PyTorch Lightning and Hugging Face Transformers.docs.mlop.ai · read 8 Oct 2026
Insights and alerts
mlop says it can alert users to poor training performance and provide suggestions, including how to address exploding gradients.docs.mlop.ai · read 8 Oct 2026
Intended users
The documentation describes mlop as a tool for people who train machine learning models and says its free tier is for individual developers and small teams.docs.mlop.ai · read 8 Oct 2026
Product
mlop describes itself as an open source experiment tracking platform for machine learning teams.mlop.ai · read 8 Oct 2026
Reproducibility
The maker says the platform tracks experiment versions and uncommitted files in real time.mlop.ai · read 8 Oct 2026
SDK
The quickstart instructs users to install the Python SDK with pip install "mlop[full]".docs.mlop.ai · read 8 Oct 2026
Security option
The Enterprise plan lists a security audit and a self-hosted option.mlop.ai · read 8 Oct 2026
Support
The pricing page includes email support for Pro and 24/7 support from founders for Enterprise.mlop.ai · read 8 Oct 2026
Visualization
Its documentation describes real-time training monitoring, interactive performance dashboards, and experiment comparison views.docs.mlop.ai · read 8 Oct 2026
Weights & Biases compatibility
The site says mlop is 100% compatible with the Weights & Biases API, and the documentation describes migration support.mlop.ai · read 8 Oct 2026

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