{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/13"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/6"}],"enrichment":{"capability":"Programmatically create and manage Weights & Biases workspaces and reports, including building dashboards with charts and panels from Python code.","skillfed_tags":["ml-experiment-tracking","dashboard-automation","wandb-integration"],"use_cases":["Automatically generate standard report templates after each model training run to track validation metrics and loss curves.","Create workspace dashboards for a team that organize experiments by project phase, with predefined chart layouts.","Build CI/CD pipelines that generate comparison reports across multiple experiment runs without manual UI work.","Programmatically populate reports with dynamic titles, descriptions, and chart configurations from experiment metadata.","Version-control experiment dashboard definitions alongside training code for reproducibility."],"what_it_does":"wandb-workspaces is a Python library that lets you define Weights & Biases workspaces and reports as code, then save them to your W&B account. It wraps the W&B API to expose workspace sections, panels, and report blocks (headings, text, charts) as Python objects that you instantiate and compose, then call `.save()` to persist. The library is built on pydantic for schema validation and depends on wandb itself for authentication and API communication.\n\nYou use it to automate dashboard creation\u2014building standard report layouts, metric visualizations, and workspace organization from scripts rather than clicking through the UI. This is useful for teams that want reproducible, version-controlled experiment dashboards or for generating reports programmatically as part of a training pipeline. The library is in Public Preview and supports Python 3.9 through 3.12.","worth_installing":"Yes, if you use Weights & Biases and want to automate report or workspace creation. The library has low install friction, active maintenance, permissive licensing, and no known vulnerabilities. The only caveat is its Public Preview status\u2014verify that the API and feature set are stable enough for your use case before relying on it in production pipelines."},"id":"wandb-workspaces","links":{"html":"https://skillfed.io/packages/wandb-workspaces","md":"https://skillfed.io/packages/wandb-workspaces.md","pypi":"https://pypi.org/project/wandb-workspaces/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-04","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"wandb-workspaces","python_support":"supports_current","summary":"A library for programatically working with the Weights & Biases UI."},"popularity":{"monthly_downloads":345578,"position":7362,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.4.5"}