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4 Repos

Awesome GitHub RepositoriesTransformation Execution

Automated execution of data transformation commands with integrated logging and asset tracking.

Distinct from Data Transformation Pipelines: Distinct from Data Transformation Pipelines: focuses on the execution and observability of transformation tasks rather than the pipeline definition.

Explore 4 awesome GitHub repositories matching data & databases · Transformation Execution. Refine with filters or upvote what's useful.

Awesome Transformation Execution GitHub Repositories

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  • prefecthq/prefectAvatar von PrefectHQ

    PrefectHQ/prefect

    21,640Auf GitHub ansehen↗

    Prefect is a workflow orchestration platform designed to define, schedule, and monitor complex data pipelines as Python code. It functions as a container-native engine that wraps individual tasks in isolated environments, ensuring consistent dependencies and resource allocation across diverse infrastructure. By utilizing a state-machine-based orchestration model, the system tracks execution progress through discrete transitions and persistent event logs to maintain reliable and observable task processing. The platform distinguishes itself through a decoupled worker-API architecture, which sep

    Executes data transformation commands while automatically capturing logs and tracking assets for visibility.

    Pythonautomationdatadata-engineering
    Auf GitHub ansehen↗21,640
  • dbt-labs/dbt-coreAvatar von dbt-labs

    dbt-labs/dbt-core

    13,051Auf GitHub ansehen↗

    dbt-core is a command-line framework for transforming data within a warehouse using modular SQL and version control. It functions as a data transformation engine that enables users to define data structures and business logic through declarative configuration files, which the system then compiles into executable code. By managing complex data dependencies through a directed acyclic graph, it ensures that transformation tasks execute in the correct order while maintaining a manifest-driven state to track lineage and execution history. The project distinguishes itself through an adapter-based d

    Executes compiled SQL models against databases to transform raw data into structured tables and views.

    Rustanalyticsbusiness-intelligencedata-modeling
    Auf GitHub ansehen↗13,051
  • effector/effectorAvatar von effector

    effector/effector

    4,837Auf GitHub ansehen↗

    Effector is a reactive state management library designed for building complex, event-driven applications. It functions as a data flow engine that models application logic as a directed acyclic graph, ensuring that state updates propagate automatically through interconnected nodes. By utilizing atomic state updates and declarative unit composition, the library maintains data consistency and provides a predictable execution model for managing application state. The project distinguishes itself through its framework-agnostic architecture, which decouples business logic from user interface implem

    Creates derived events that intercept, filter, or map input parameters and execution results to chain logic.

    TypeScriptbusiness-logiceffectorevent-driven
    Auf GitHub ansehen↗4,837
  • riok/mapperlyAvatar von riok

    riok/mapperly

    4,100Auf GitHub ansehen↗

    Mapperly is a C# source generator used for high-performance object-to-object mapping in .NET. It functions as a compile-time mapping library that produces the necessary transformation code during the build process, eliminating the need for runtime reflection when converting between domain models and data transfer objects. The tool distinguishes itself by providing type-safe diagnostic validation and strict mapping enforcement, emitting warnings for unmapped properties at compile time. It includes specialized capabilities for circular reference handling and deep cloning to maintain object iden

    Runs custom code immediately before or after the generated object transformation process.

    C#
    Auf GitHub ansehen↗4,100
  1. Home
  2. Data & Databases
  3. Data Transformation Pipelines
  4. Transformation Execution

Unter-Tags erkunden

  • Execution Flow TransformersDerived events that intercept and adapt input parameters and execution results to chain logic. **Distinct from Transformation Execution:** Distinct from Transformation Execution: focuses on the transformation of execution flow and logic chaining rather than data transformation pipelines.
  • Mapping Lifecycle HooksCustom logic executed immediately before or after the automated transformation process. **Distinct from Transformation Execution:** Focuses on hooks within the mapping process rather than general data transformation pipeline execution
  • Transformation SchedulersTools for executing data transformation pipelines on recurring intervals. **Distinct from Transformation Execution:** Distinct from Transformation Execution: focuses on the scheduling frequency and interval management rather than the execution task itself.