Weights & Biases

ML experiment tracking and model monitoring platform.

Best for: ML engineers and researchers needing to track experiments, compare model versions and collaborate on model development.

Free plan

4.7/5Editorial score 93/100wandb.ai

Starts at

Free (100GB storage)

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Editorial score93/100

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The editorial note

What to know about Weights & Biases

Weights & Biases (W&B) is the leading MLOps platform for machine learning experiment tracking, model versioning, dataset management, and collaboration — used by teams at OpenAI, NVIDIA, Toyota, and leading AI labs. W&B automatically logs every training run's metrics, hyperparameters, and artifacts — creating a searchable history that makes comparing models, reproducing results, and finding the best configuration effortless. Its Sweeps feature automates hyperparameter optimization, while Artifacts provides version control for datasets and models across teams.

Is it right for you?

Who Weights & Biases suits

Choose it if

ML engineers and researchers needing to track experiments, compare model versions and collaborate on model development.

Look elsewhere if

Teams with strict data privacy requirements that prevent logging training data — MLflow self-hosted provides similar experiment tracking that stays entirely within the company's own infrastructure without data leaving the network

What you get

Key features

Experiment tracking and visualization
Hyperparameter sweeps
Model registry
Dataset versioning
Team collaboration
Reports for sharing results
Integration with PyTorch, TensorFlow, Keras
On-premise deployment option

Works with

Integrations8

PyTorchTensorFlowKerasHugging FaceJAXscikit-learnRaySageMaker

What it costs

Pricing

Weights & Biases pricing plans
Plan	Price	What it includes
Free	Free (100GB storage)Billed monthly	Unlimited experiments, 100GB artifact storage, 1 user, model registry, reports
Teams	$50 / user / monthBilled monthly	Unlimited users, 1TB storage, shared workspaces, role-based access, priority support
Enterprise	CustomBilled monthly	Dedicated deployment, SSO, SCIM, audit logs, self-hosting, custom storage, SLA

Prices are recorded from the vendor's public pricing page and can change. Check before you buy.

The trade-off

Pros and cons

Pros

Automatic experiment tracking with minimal code changes (3-5 lines) — logs everything about training runs
Powerful visualization compares experiments across dozens of metrics and hyperparameters visually
Model registry enables governance for production ML — tracking which model is deployed and when
W&B Sweeps automates hyperparameter search across GPU cluster without manual configuration
Free tier is genuinely generous for individual ML researchers and academic teams

Cons

Privacy concerns — training data and model weights are uploaded to W&B servers by default
Can be slow to load with many experiments and large artifact histories
Enterprise pricing is high for fully on-premise deployments in regulated industries
Integration with some older ML frameworks and custom training loops requires more setup effort

Quick read

At a glance

Category: AI Tools
Pricing model: Freemium
Entry plan: Free (100GB storage)
Free plan: Available
Free trial: Not listed
Website: wandb.ai

The verdict

Our take on Weights & Biases

The standard experiment tracking tool at every serious ML research organisation.

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