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2 dépôts

Awesome GitHub RepositoriesClipboard Data Pipelines

Systems for reading and processing content from the system clipboard to initiate automated workflows.

Distinct from Clipboard Reading Protocols: Candidates focus on specific operations like cutting, writing, or protocol standards rather than the input pipeline as a trigger.

Explore 2 awesome GitHub repositories matching development tools & productivity · Clipboard Data Pipelines. Refine with filters or upvote what's useful.

Awesome Clipboard Data Pipelines GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • richqaq/pastemdAvatar de RICHQAQ

    RICHQAQ/PasteMD

    4,104Voir sur GitHub↗

    PasteMD is a clipboard-based document processor and productivity tool designed to convert Markdown or HTML content into formatted office documents. It transforms markup and mathematical formulas from the clipboard into rich text for direct insertion into word processors and spreadsheets. The system functions as a style orchestrator, using reference documents and templates to apply specific fonts, colors, layouts, and margins to the converted text. This allows for the customization of output appearances to match specific document requirements. The tool handles technical document composition b

    Implements a pipeline that reads markdown or rich text from the system clipboard to start the document conversion sequence.

    Pythonaichatgptclipboard
    Voir sur GitHub↗4,104
  • gee1k/upicAvatar de gee1k

    gee1k/uPic

    3,701Voir sur GitHub↗

    uPic is a native macOS application designed for uploading images and files to cloud hosting services and private backends. It functions as a cloud image hosting tool and a custom API upload client that generates formatted links for shared content. The project distinguishes itself by allowing users to configure private backend endpoints with specific HTTP methods, headers, and server URLs. It converts uploaded file addresses into Markdown or HTML snippets, which are then written back to the system clipboard via customizable URL templates. The application integrates with macOS system framework

    Processes image data from the system clipboard to initiate automated upload workflows.

    Swift
    Voir sur GitHub↗3,701
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