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dotflow-io/dotflow

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7 स्टार्स·8 फोर्क्स·Python·Apache-2.0·7 व्यूज़dotflow-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.

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स्टार हिस्ट्री

dotflow-io/dotflow के लिए स्टार हिस्ट्री चार्टdotflow-io/dotflow के लिए स्टार हिस्ट्री चार्ट

Dotflow के ओपन-सोर्स विकल्प

समान ओपन-सोर्स प्रोजेक्ट्स, जो Dotflow के साथ साझा की गई सुविधाओं के आधार पर रैंक किए गए हैं।
  • dagworks-inc/hamiltondagworks-inc का अवतार

    dagworks-inc/hamilton

    2,528GitHub पर देखें↗

    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.

    Jupyter Notebook
    GitHub पर देखें↗2,528
  • dagster-io/dagsterdagster-io का अवतार

    dagster-io/dagster

    14,974GitHub पर देखें↗

    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
    GitHub पर देखें↗14,974
  • couler-proj/coulercouler-proj का अवतार

    couler-proj/couler

    944GitHub पर देखें↗

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

    Python
    GitHub पर देखें↗944
  • kestra-io/kestrakestra-io का अवतार

    kestra-io/kestra

    27,073GitHub पर देखें↗

    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
    GitHub पर देखें↗27,073
Dotflow के सभी 30 विकल्प देखें→

अक्सर पूछे जाने वाले प्रश्न

dotflow-io/dotflow क्या करता है?

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

dotflow-io/dotflow की मुख्य विशेषताएं क्या हैं?

dotflow-io/dotflow की मुख्य विशेषताएं हैं: Workflow Orchestration, Workflow Frameworks।

dotflow-io/dotflow के कुछ ओपन-सोर्स विकल्प क्या हैं?

dotflow-io/dotflow के ओपन-सोर्स विकल्पों में शामिल हैं: 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…