Network-Security-System

Evidently is ??an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

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.

Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.

:lipstick: Durable and asynchronous data imports for consuming data at scale and publishing testable SDKs.

The data-validation toolkit for enhanced dbt (data build tool) PR review

Orbital automates integration between data sources (APIs, Databases, Queues and Functions). BFF's, API Composition and ETL pipelines that adapt as your specs change.

Low-code Python library to safely use notebooks in production: schedule workflows, generate assets, trigger webhooks, send notifications, build pipelines, manage secrets (Cloud-only)

An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R

A simple Spark-powered ETL framework that just works ?

Dingo: A Comprehensive Data Quality Evaluation Tool