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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.
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Awesome DataOps Lifecycle Managers GitHub Repositories
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- datahub-project/datahub
datahub-project/datahub
12,141Voir sur GitHubDataHub 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
