The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Scalable and efficient data transformation framework - backwards compatible with dbt.

Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.

Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

Titan Core - Snowflake infrastructure-as-code. Provision environments, automate deploys, CI/CD. Manage RBAC, users, roles, and data access. Declarative Python Resource API. Change Management tool for the Snowflake data warehouse.

One framework to develop, deploy and operate data workflows with Python and SQL.

A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way 🌰

😎 A curated list of awesome DataOps tools

Resources for video demonstrations and blog posts related to DataOps on AWS

Unified storage framework for the entire machine learning lifecycle

Open Source Data Quality Monitoring.

Installer for DataKitchen's Open Source Data Observability Products. Data breaks. Servers break. Your toolchain breaks. Ensure your team is the first to know and the first to solve with visibility across and down your data estate. Save time with simple, fast data quality test generation and execution. Trust your data, tools, and systems end to end.

Interactive computing for complex data processing, modeling and analysis in Python 3

End-to-end DataOps platform deployed by Terraform.

DataOps framework for Machine Learning projects.

Run LLM-related tools in containers.

Build DataOps platform with Apache Airflow and dbt on AWS

DataOps Data Quality TestGen is part of DataKitchen's Open Source Data Observability. DataOps TestGen delivers simple, fast data quality test generation and execution by data profiling,  new dataset hygiene review, AI generation of data quality validation tests, ongoing testing of data refreshes, & continuous anomaly monitoring

DataOps Observability is part of DataKitchen's Open Source Data Observability. DataOps Observability monitors every data journey from data source to customer value, from any team development environment into production, across every tool, team, environment, and customer so that problems are detected, localized, and understood immediately.

Love your Data. Love the Environment. Love VULKИ.