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ploomber/ploomberArchived

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3,623 स्टार्स·241 फोर्क्स·Python·Apache-2.0·3 व्यूज़docs.ploomber.io↗

Ploomber

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

Features

  • ML Ops - YAML-based pipeline builder for ML models.
  • Workflow Orchestration - Develops maintainable, production-ready pipelines locally and in the cloud.
  • Data Pipelines - Framework for building and developing data pipelines iteratively.
  • Data Orchestration - Tool for developing and deploying interactive data pipelines.
  • Workflow Orchestration - Workflow orchestration.
  • Interactive Notebooks - Tool to consolidate notebooks into reproducible pipelines.
  • Publishing and Conversion - Manages reproducible pipelines of notebooks and scripts.

स्टार हिस्ट्री

ploomber/ploomber के लिए स्टार हिस्ट्री चार्टploomber/ploomber के लिए स्टार हिस्ट्री चार्ट

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Ploomber के ओपन-सोर्स विकल्प

समान ओपन-सोर्स प्रोजेक्ट्स, जो Ploomber के साथ साझा की गई सुविधाओं के आधार पर रैंक किए गए हैं।
  • prefecthq/prefectPrefectHQ का अवतार

    PrefectHQ/prefect

    21,640GitHub पर देखें↗

    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

    Pythonautomationdatadata-engineering
    GitHub पर देखें↗21,640
  • orchest/orchestorchest का अवतार

    orchest/orchest

    4,138GitHub पर देखें↗

    Orchest is a data pipeline orchestrator and containerized workflow manager. It provides a platform for designing, scheduling, and executing complex data processing sequences through a combination of a graphical interface and scripting. The platform distinguishes itself by using containers to manage software dependencies, ensuring consistent execution across different environments. It features a polyglot task scheduler capable of triggering jobs written in multiple programming languages and includes a version control system that tracks historical snapshots of project configurations and code.

    TypeScriptairflowclouddag
    GitHub पर देखें↗4,138
  • 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
  • coleifer/hueycoleifer का अवतार

    coleifer/huey

    5,933GitHub पर देखें↗

    .. image:: https://media.charlesleifer.com/blog/photos/huey3-logo.png

    Pythondankpythonqueue
    GitHub पर देखें↗5,933
Ploomber के सभी 30 विकल्प देखें→

अक्सर पूछे जाने वाले प्रश्न

ploomber/ploomber क्या करता है?

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

ploomber/ploomber की मुख्य विशेषताएं क्या हैं?

ploomber/ploomber की मुख्य विशेषताएं हैं: ML Ops, Workflow Orchestration, Data Pipelines, Data Orchestration, Interactive Notebooks, Publishing and Conversion।

ploomber/ploomber के कुछ ओपन-सोर्स विकल्प क्या हैं?

ploomber/ploomber के ओपन-सोर्स विकल्पों में शामिल हैं: prefecthq/prefect — Prefect is a workflow orchestration platform designed to define, schedule, and monitor complex data pipelines as… dagster-io/dagster — Dagster is a data orchestration platform designed to manage the entire lifecycle of data assets through declarative… orchest/orchest — Orchest is a data pipeline orchestrator and containerized workflow manager. It provides a platform for designing,… couler-proj/couler — Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows,… apache/airflow — Airflow is a platform for programmatically authoring, scheduling, and monitoring complex data pipelines. It functions… argoproj/argo-workflows — Argo Workflows is a container-native workflow engine that functions as a Kubernetes custom resource controller. It…