wandb

A CLI and library for interacting with the Weights & Biases API.

wandb Permissive license MIT License Copyright (c) 2021 Weights and Biases, Inc. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the… (full text in the JSON record) Active ★ 11,231 v0.28.2 released 2026-08-12

Install

wandb on PyPI

pip

pip install wandb

uv

uv add wandb

poetry

poetry add wandb

Package facts

License	MIT License Copyright (c) 2021 Weights and Biases, Inc. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the… (full text in the JSON record) (permissive)
Python support	supports the current Python release (>=3.10)
Install friction	medium — platform-specific wheel
Runtime dependencies	10 — click, opentelemetry-api, packaging, platformdirs, protobuf, pydantic, pyyaml, requests, sentry-sdk, typing-extensions
Maintenance	actively maintained — 1 days since the last release
Last repo commit	2026-08-13
First released	2017-03-24
Popularity	one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities	none known (OSV.dev, checked 2026-08-13)

Evidence: wandb-0.28.2-py3-none-macosx_12_0_arm64.whl; wandb-0.28.2-py3-none-macosx_12_0_x86_64.whl; wandb-0.28.2-py3-none-manylinux_2_28_aarch64.whl; wandb-0.28.2-py3-none-manylinux_2_28_x86_64.whl; wandb-0.28.2-py3-none-musllinux_1_2_aarch64.whl; wandb-0.28.2-py3-none-musllinux_1_2_x86_64.whl; wandb-0.28.2-py3-none-win_amd64.whl; wandb-0.28.2-py3-none-win_arm64.whl

Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseNatural Language :: EnglishProgramming Language :: GoProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: RustTopic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Software Development :: Libraries :: Python ModulesTopic :: System :: LoggingTopic :: System :: Monitoring

About wandb

from the package's own PyPI description — quoted content, verbatim

Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to production machine learning models. Get started with W&B today, [sign up for a W&B...

Read as markdown · JSON record · Source repository · Docs

AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

wandb is a machine learning experiment tracking and visualization platform that logs metrics, hyperparameters, and datasets to monitor model training and manage ML pipelines from development through production.

Medium install friction with 10 runtime dependencies including protobuf, pydantic, and requests. Active maintenance with a release 1 day ago and strong community engagement. Supports Python 3.10–3.14 and ships pre-built wheels for macOS, Linux, and Windows.

MIT License permits unrestricted use, modification, and distribution with minimal restrictions. Suitable for both commercial and open-source projects.

Usage

pip install wandb

import wandb

with wandb.init(project="my-project", config={"lr": 3e-4}) as run:
    run.log({"accuracy": 0.9, "loss": 0.1})

Requires a W&B account (free tier available); wandb will prompt for API key on first use or via `wandb login` CLI.

Verdict: wandb is a production-stable, actively maintained experiment tracking library with broad Python version support and no known vulnerabilities. The medium install friction from 10 dependencies is typical for ML tooling. MIT licensing and top-1000 PyPI popularity make it a low-risk choice for teams building ML systems.

Needs verification

Whether the 10 runtime dependencies introduce transitive security concerns beyond the direct package.
Performance impact of telemetry features (sentry-sdk, opentelemetry-api) on training workloads.
Specific use cases and integrations supported beyond the core experiment tracking shown in the quickstart.

machine learning experiment trackingml metrics logging and visualizationhyperparameter trackingmodel training monitoringexperiment management platformml pipeline visualizationtraining run comparison