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Awesome GitHub RepositoriesDataOps Lifecycle Managers

Interfaces for managing the reproducible and automated lifecycle of analytics and AI artifacts.

Distinct from Development and Practice: Distinct from general development practice: focuses on the DataOps lifecycle for analytics and AI artifacts.

Explore 1 awesome GitHub repository matching scientific & mathematical computing · DataOps Lifecycle Managers. Refine with filters or upvote what's useful.

Awesome DataOps Lifecycle Managers GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • datahub-project/datahubAvatar de datahub-project

    datahub-project/datahub

    12,141Ver en GitHub↗

    DataHub is a metadata management platform designed to unify technical, operational, and business context across diverse data ecosystems. By utilizing a graph-based metadata model and an event-driven ingestion architecture, it creates a centralized source of truth that maps complex data relationships, lineage, and ownership. This foundational framework enables organizations to maintain a synchronized view of their data landscape, supporting both human-led discovery and automated data operations. The platform distinguishes itself through its focus on grounding artificial intelligence and autono

    Enables reproducible, safe, and automated management of analytics and artificial intelligence artifacts throughout their lifecycle.

    Pythondata-catalogdata-discoverydata-governance
    Ver en GitHub↗12,141
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