Observability & Monitoring

Weights and Biases

Visualize and track your machine learning experiments.

Status
Generally available
Last checked
Checked · Oct 13, 2026
License
Open source
Pricing
Free tier
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What it is

Weights and Biases is a tool for visualizing and tracking machine learning experiments. It helps data scientists and developers monitor, compare, and optimize their models effectively.

Weights and Biases stands out for its comprehensive tracking capabilities, including real-time monitoring and detailed visualization of ML experiments.

When it fits — and when it doesn’t

A good fit for

  • Teams needing real-time tracking and comparison of multiple ML experiments

  • Developers who require detailed visualization and artifact management in their ML workflows

Look elsewhere if

  • Projects with extremely limited budgets that cannot afford any paid tiers

  • Users requiring only basic experiment logging without advanced features like model comparison or artifact versioning

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support beyond Python

    Primary focus on Python, with limited official support for other languages like R or Java

  2. 02

    Expensive at scale due to data storage costs

    Storage of large datasets and artifacts can lead to increased cloud storage fees in the paid version

What it does well

  • Real-time experiment tracking

  • Model comparison and optimization

  • Artifact versioning

  • Integration with popular ML frameworks

Pricing

Free tier
Yes
Paid from
—
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Weights and Biases

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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