Weights & Biases

Global

AI Model, Cloud-based Tool, Data Analytics, Developer, Tech & Development

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Website

https://wandb.ai

Payment Model

Freemium

Starting Price

Free + From $50/month per seat

Short Description

MLOps platform for experiment tracking and model management

Weights & Biases (W&B) is a machine learning platform for experiment tracking, dataset versioning, and model management. It helps ML teams build better models faster by providing tools to track experiments, visualize results, and collaborate on ML projects. Key features include experiment tracking with automatic logging, interactive visualizations and dashboards, hyperparameter optimization with Sweeps, dataset and artifact versioning, model registry for production deployment, collaborative reports and documentation, integration with popular ML frameworks (PyTorch, TensorFlow, Keras, etc.), and team collaboration tools. W&B is used by leading AI teams at OpenAI, Toyota, Samsung, and thousands of other organizations to streamline their ML workflows.

Frequently Asked Questions

1. What is Weights & Biases?
W&B is an MLOps platform for tracking machine learning experiments, visualizing results, and managing models.

2. Is there a free plan?
Yes, W&B offers a free plan for individuals and academics. Team plans start at $50/month per seat.

3. What frameworks does it support?
W&B integrates with PyTorch, TensorFlow, Keras, Scikit-learn, XGBoost, Hugging Face, and many others.

4. Can I use it for team collaboration?
Yes, W&B provides team workspaces, shared projects, and collaborative reports.

5. Where is data stored?
Data can be stored on W&B"s cloud or self-hosted in your own infrastructure.

Feature 1

Experiment tracking and logging

Feature 2

Interactive dashboards and visualization

Feature 3

Model versioning and registry