MLOps Platform
11.0k 2026-04-13
wandb/wandb
An AI developer platform for tracking, visualizing, and managing machine learning models from experimentation to production.
Core Features
Track and visualize machine learning experiments and pipelines.
Manage models throughout their lifecycle, from training to production.
Tools for debugging, evaluating, and monitoring LLM applications (Weave).
Integrates seamlessly with popular ML frameworks and libraries.
Flexible hosting options: multi-tenant cloud, dedicated cloud, or self-managed.
Quick Start
pip install wandbDetailed Introduction
Weights & Biases (W&B) is a comprehensive AI developer platform designed to accelerate the machine learning workflow. It provides robust tools for experiment tracking, model versioning, hyperparameter optimization, and performance monitoring, enabling ML practitioners to build and deploy better models faster. W&B supports the entire ML lifecycle, from initial experimentation to production deployment, including specialized tools for large language model (LLM) development. Its flexible architecture allows for deployment in various environments, from cloud-managed services to private infrastructure.