Weights & Biases
MLOps platforms
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
Take the quiz to check if Weights & Biases and its alternatives fit your requirements.
$60 per month
Free TrialFree version
Small
Medium
Large
- Education and training
- Information technology and software
- Media and communications
What is Weights & Biases
Weights & Biases (W&B) is an MLOps platform focused on experiment tracking, model evaluation, and collaboration for machine learning teams. It is commonly used by data scientists and ML engineers to log training runs, compare metrics, manage artifacts, and visualize results across projects. The product emphasizes reproducibility and team workflows through centralized dashboards, versioned artifacts, and integrations with popular ML frameworks and infrastructure.
Strong experiment tracking
W&B provides detailed logging of metrics, hyperparameters, system stats, and outputs across training runs. It supports comparisons across experiments using dashboards, tables, and visualizations that help teams diagnose model behavior. This focus on experimentation is often deeper than broader analytics platforms where tracking is one feature among many.
Artifact and dataset versioning
The platform includes artifact management to version and track datasets, models, and other ML assets used in training and evaluation. Lineage links runs to the exact inputs and outputs, supporting reproducibility and auditability. This is useful when teams need to understand which data and code produced a given model.
Broad ML ecosystem integrations
W&B integrates with common ML frameworks and workflows (for example, Python-based training stacks, notebooks, and orchestration environments). It supports multiple deployment patterns, including managed cloud and self-hosted options, which can fit different security and compliance requirements. APIs and SDKs enable teams to embed tracking into existing pipelines rather than rebuilding workflows.
Not an end-to-end suite
W&B centers on experimentation, evaluation, and asset tracking rather than providing a full data science platform. Teams typically still need separate tools for data preparation, feature engineering, labeling, and production serving/monitoring. Organizations looking for a single integrated environment may need additional components to cover the full ML lifecycle.
Operational overhead at scale
High-volume logging and artifact storage can increase infrastructure and governance needs, especially for large training workloads. Teams may need to define retention policies, storage backends, and access controls to manage cost and compliance. Self-hosted deployments can require ongoing administration and upgrades.
Learning curve for governance
To get consistent value across teams, organizations often need conventions for project structure, naming, and metadata. Without agreed standards, dashboards and artifacts can become difficult to navigate and reuse. This governance work is separate from model development and can slow initial rollout.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Free (Cloud) | $0/mo | Cloud-hosted personal development: experiment & model tracking, artifacts/registry, collaborative reports, community support; includes 5 GB storage (page shows 5 GB/mo) and limited tracked hours; upgrade options for paid features. |
| Personal (self-hosted) | $0/mo | Run a W&B server locally (Docker + Python). Intended for personal projects only; includes 1 user seat. Corporate use not allowed. |
| Pro | Starts at $60/month (billed monthly) | All Free features + CI/CD automations, Slack & email alerts, unlimited teams, team-based access controls, service accounts, priority email & chat support. Includes 500 tracked hours/month, 100 GB storage/month; additional hours billed $1/hour; additional storage $0.03/GB; Weave data ingestion 1.5 GB/mo (additional $0.10/MB). Pro offers a 30-day free trial. Inference (model serving) is billed separately with per-model pricing (free credits for a limited time). |
| Enterprise / Advanced Enterprise | Custom pricing | Custom plans for security/compliance (single-tenant options, HIPAA, private connectivity, CMK, SSO, audit logs, enterprise support). Advanced Enterprise offers a free Enterprise trial license for private deployments; contact sales for pricing and volume/region options. |
Notes: Inference (model hosting/serving) has per-model, token-based pricing on the vendor site (see "W&B Inference"); some features (e.g., academic plan, Emergent Foundation Model Program) have separate application processes and terms.
Seller details
Weights & Biases, Inc.
San Francisco, CA, USA
2017
Private
https://wandb.ai/
https://x.com/weights_biases
https://www.linkedin.com/company/weightsandbiases/
