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dotflow-io avatar

dotflow-io/dotflow

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7 stars·8 forks·Python·Apache-2.0·4 vuesdotflow-io.github.io/dotflow↗

Dotflow

🎲 Dotflow turns an idea into flow! — Lightweight Python library for execution pipelines

Features

  • Workflow Orchestration - Library for building execution pipelines with scheduling and retries.
  • Workflow Orchestration - Python library for building pipelines with retry and scheduling.
  • Workflow Frameworks - Python library for creating pipelines and workflows easily.

Historique des stars

Graphique de l'historique des stars pour dotflow-io/dotflowGraphique de l'historique des stars pour dotflow-io/dotflow

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Alternatives open source à Dotflow

Projets open source similaires, classés selon le nombre de fonctionnalités partagées avec Dotflow.
  • dagworks-inc/hamiltonAvatar de dagworks-inc

    dagworks-inc/hamilton

    2,528Voir sur GitHub↗

    Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

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    Voir sur GitHub↗2,528
  • dagster-io/dagsterAvatar de dagster-io

    dagster-io/dagster

    14,974Voir sur GitHub↗

    Dagster is a data orchestration platform designed to manage the entire lifecycle of data assets through declarative modeling and version-controlled code. It functions as a workflow engine that treats data assets as first-class primitives, allowing teams to define, schedule, and monitor complex pipelines while maintaining clear visibility into lineage, dependencies, and data quality. The platform distinguishes itself by using a code-as-configuration framework that enables standard software engineering practices, such as unit testing and local mocking, to be applied directly to data workflows.

    Pythonanalyticsdagsterdata-engineering
    Voir sur GitHub↗14,974
  • couler-proj/coulerAvatar de couler-proj

    couler-proj/couler

    944Voir sur GitHub↗

    Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.

    Python
    Voir sur GitHub↗944
  • kestra-io/kestraAvatar de kestra-io

    kestra-io/kestra

    27,073Voir sur GitHub↗

    Kestra is a declarative workflow orchestrator designed to manage complex task dependencies and automated processes through versioned configuration files. It functions as a distributed platform that decouples task scheduling from execution by offloading computational workloads to a fleet of worker nodes. The system uses a reactive, event-driven engine to initiate workflows automatically in response to external signals, webhooks, schedules, or file system changes. The platform distinguishes itself through a modular plugin architecture that allows for the integration of custom tasks and external

    Javaautomationdata-orchestrationdevops
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Voir les 30 alternatives à Dotflow→

Questions fréquentes

Que fait dotflow-io/dotflow ?

🎲 Dotflow turns an idea into flow! — Lightweight Python library for execution pipelines

Quelles sont les fonctionnalités principales de dotflow-io/dotflow ?

Les fonctionnalités principales de dotflow-io/dotflow sont : Workflow Orchestration, Workflow Frameworks.

Quelles sont les alternatives open-source à dotflow-io/dotflow ?

Les alternatives open-source à dotflow-io/dotflow incluent : dagworks-inc/hamilton — Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode… pinterest/pinball — Pinball is a scalable workflow manager. couler-proj/couler — Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows,… dagster-io/dagster — Dagster is a data orchestration platform designed to manage the entire lifecycle of data assets through declarative… kestra-io/kestra — Kestra is a declarative workflow orchestrator designed to manage complex task dependencies and automated processes… quantumblacklabs/kedro — Kedro is a data science pipeline framework and production toolbox designed to build reproducible, modular workflows…