© 2026 AI-Buzz. Early access — data updated daily.
© 2026 AI-Buzz. Early access — data updated daily.
ML experiment tracking and model management platform.
Founded by: Lukas Biewald, Chris Van Pelt, Shawn Lewis
Metrics computed from HN discussion, GitHub activity, and funding data.
According to AI-Buzz, Weights & Biases ranks #13 in AI Infrastructure for HN discussion share (out of 70 tracked with 0.3% of HN discussion), with 24 commits/week (steady), with 20,437,482 PyPI downloads in 30 days.
Source: https://ai-buzz.com/companies/weights-biases?utm_source=citation&utm_medium=referral&utm_campaign=cite_this_data
Metrics derived from public APIs (HN Algolia, GitHub, npm/PyPI). Sentiment classified by AI. See methodology for details →
Description
ML experiment tracking and model management platform.
Estimated Company Size
101 - 250 employees
Website
wandb.aiFounded
2018
Description
Weights & Biases is the standard tool for ML experiment tracking. Used by OpenAI, Anthropic, and thousands of ML teams. Raised $200M+ Series C at $1.25B valuation.
Community engagement metrics that indicate developer traction and interest.
Last updated: 1 day ago
Mentions in HN discussions. Source: Hacker News Algolia API.
Total stars indicate project popularity and developer adoption.
Forks indicate active developer engagement and contribution interest.
Weekly commit activity indicates ongoing development momentum and team productivity.
Package download volume indicates real-world adoption and integration into production projects.
Log, visualize, and compare machine learning experiments to track model performance and development.
Version control and manage the lifecycle of machine learning models, from training to deployment.
Track and version datasets, models, and other files used in ML workflows for reproducibility.
Automate hyperparameter optimization to efficiently find the best model configurations.
Create interactive dashboards and shareable reports to communicate ML findings and progress.
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