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4 repositorios

Awesome GitHub RepositoriesContainerized Execution

Running data processing tasks within isolated container environments.

Distinct from Command Execution: Distinct from general command execution: focuses on container-based isolation for data tasks.

Explore 4 awesome GitHub repositories matching development tools & productivity · Containerized Execution. Refine with filters or upvote what's useful.

Awesome Containerized Execution GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • prefecthq/prefectAvatar de PrefectHQ

    PrefectHQ/prefect

    21,640Ver en GitHub↗

    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

    Triggers and manages containerized data processing tasks within isolated serverless environments.

    Pythonautomationdatadata-engineering
    Ver en GitHub↗21,640
  • mikefarah/yqAvatar de mikefarah

    mikefarah/yq

    14,913Ver en GitHub↗

    This tool is a command-line processor designed for querying, updating, and transforming structured data files. It functions as a versatile engine for manipulating YAML, JSON, TOML, and XML documents, allowing users to perform complex operations directly from the terminal. By utilizing a path-based expression language, it enables precise navigation and modification of data structures within configuration files and infrastructure-as-code workflows. What distinguishes this tool is its ability to perform in-place document mutations while preserving original formatting, comments, and metadata. It

    Runs data processing tasks within isolated environments by mounting local directories.

    Gobashclicsv
    Ver en GitHub↗14,913
  • wandb/wandbAvatar de wandb

    wandb/wandb

    10,844Ver en GitHub↗

    Wandb is a centralized platform for machine learning experiment tracking, model registry management, and workflow orchestration. It provides a comprehensive suite of tools for logging, visualizing, and versioning training metrics, model artifacts, and hyperparameter sweeps to ensure reproducibility across development cycles. The platform also functions as an observability tool for large language model applications, enabling the tracing of execution steps, token usage, and reasoning processes. The project distinguishes itself through its event-driven automation capabilities, which allow users

    Executes training scripts within isolated containers with automated credential and hardware configuration.

    Pythonaicollaborationdata-science
    Ver en GitHub↗10,844
  • ory/ketoAvatar de ory

    ory/keto

    5,270Ver en GitHub↗

    Ory Keto is an open-source authorization server that implements Google Zanzibar’s relationship-based access control model. It stores every access relationship as a tuple in a SQL database and exposes a declarative TypeScript-like namespace language for defining object types, relations, and permissions. The service provides bidirectional permission resolution, configurable consistency levels for checks, and dual gRPC and REST APIs for broad integration. Keto extends the Zanzibar model with edge enforcement of access policies, structured compliance auditing of permission decisions, and infrastr

    Packages the authorization service into a standardized container image for consistent execution.

    Goabacaccess-controlacl
    Ver en GitHub↗5,270
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