What is Weights & Biases?
Weights & Biases centers on experiment tracking (logging metrics, hyperparameters and artifacts during training), plus a model/artifact registry and, more recently, LLM evaluation and tracing (Weave) for teams building on foundation models. It's used both by individual practitioners on the free tier and by ML teams needing collaboration, artifact lineage and compliance features on paid plans.
Read the full overview
Sources checked 27 September 2026: official website, documentation, pricing.
Key capabilities
- Experiment tracking: Log runs, metrics, hyperparameters and system stats.
- Model & artifact registry: Version datasets and models with lineage.
- Weave: Tracing and evaluation tooling for LLM applications.
- Deployment options: SaaS, self-hosted Server, or a dedicated private cloud on higher tiers.
ML experiment tracking and model management, extended into LLM application evaluation and tracing.
Shortlist W&B when you need reproducible experiment tracking and artifact lineage across a team, not just a single practitioner's local logs, and when LLM-specific evaluation/tracing is also on the roadmap.
Free-tier storage and team-seat limits matter once a project moves from a single researcher to a shared team; check current limits before assuming the free plan scales with your team.
Technical details
- Access
- Self-hosted
- Source model
- Other license
- Founded
- 2017
- Headquarters
- San Francisco, USA
- Pricing model
- Freemium
- API
- Available
- Website
- wandb.ai ↗
Official resources
What to verify for your environment
Start from the users, systems and operating responsibilities the tool needs to support.
- Confirm current features, licensing and support terms with the publisher.
- Validate deployment, data location, access control, backup and recovery requirements.
- Test integrations, export paths and a representative operational workflow before committing.
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