Always know what to expect from your data.
- pipeline-tests
- dataquality
- datacleaning
- datacleaner
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Always know what to expect from your data.
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Apache Spark testing helpers (dependency free & works with Scalatest, uTest, and MUnit)