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A library for working with pretrained models and their processors. It provides common interfaces while individual architectures and deployment needs still differ.
Load and transform datasets with a consistent library interface. Useful for building repeatable data preparation and evaluation pipelines.
Automate browser journeys across a real application. Use it to check navigation, forms, dialogs and failure states rather than relying only on isolated component tests.
An authentication framework with account, session and plugin capabilities. Useful for teams that want explicit control over authentication inside their application.
Run durable background jobs and recurring schedules using PostgreSQL. Useful when an application needs retries and asynchronous work without another queue datastore.
Store vector embeddings alongside relational data, then combine similarity matching with ordinary database filters. A practical starting point for semantic and hybrid search.
