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Weights & Biases (W&B) is an MLOps platform for experiment tracking, model evaluation, hyperparameter optimization, and dataset versioning, widely used by ML research teams and enterprises.
Category
Coding
Subcategory
API Development
// ACCESS METHODS
Web AppAPICLI
// COMPLIANCE
○SOC2○ISO27001○GDPR○HIPAA
● certified · ○ not verified
// DATA STORAGE
Region
—
Trains on Data
—
Self-hostable
No
// PRICING DETAIL
Free Tier
Free for individuals and small teams
Paid Plans
Team at $50/month, Enterprise custom
API Cost
Not available yet
// MORE IN API DEVELOPMENT
V
Vercel AI SDKCodingAPI Development
#ai sdk#typescript#nextjs
L
LangChainCodingAPI Development
#llm framework#agents#rag
L
LlamaIndexCodingAPI Development
#llm framework#rag#data indexing
// USE CASES
Tracking ML experiment metrics and resultsHyperparameter optimization sweepsModel versioning and registryDataset versioning and lineageVisualizing training runs and model performance