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2 repositorios

Awesome GitHub RepositoriesHTTP-Driven Pipelines

Image processing pipelines triggered and parameterized entirely through HTTP requests.

Distinct from Image Processing Pipelines: Distinct from Image Processing Pipelines: focuses on HTTP-driven invocation and URL-parameter chaining rather than general sequential workflows.

Explore 2 awesome GitHub repositories matching graphics & multimedia · HTTP-Driven Pipelines. Refine with filters or upvote what's useful.

Awesome HTTP-Driven Pipelines GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • h2non/imaginaryAvatar de h2non

    h2non/imaginary

    6,017Ver en GitHub↗

    Imaginary is a self-hosted HTTP server for image processing that applies transformations like resizing, cropping, rotating, and format conversion through URL parameters. It operates as a stateless request-response pipeline, processing images fetched from remote URLs or served from a local directory without requiring client-side dependencies. The server distinguishes itself through its security and access control capabilities, offering optional API key validation, HMAC-signed URL verification, and remote origin whitelisting to restrict which image sources are permitted. It also provides a heal

    Processes images by accepting HTTP requests with URL parameters that specify operations, chaining transformations through sequential middleware.

    Gocrop-imagedockergif
    Ver en GitHub↗6,017
  • yuzutech/krokiAvatar de yuzutech

    yuzutech/kroki

    3,967Ver en GitHub↗

    Kroki is a text-to-diagram rendering API and diagram-as-code server that transforms plain text definitions from various modeling languages into SVG or PNG images. It functions as a multi-language diagram renderer, providing a unified interface to generate flowcharts, UML diagrams, and charts using a collection of external libraries. The system utilizes a container-based plugin architecture and a sidecar rendering model to isolate external rendering engines. This design allows for the addition of new diagramming languages via companion containers and ensures stateless image generation where so

    Implements a rendering pipeline triggered and parameterized entirely through HTTP requests.

    JavaScriptapiblockdiagbpmn
    Ver en GitHub↗3,967
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