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Visual Blocks download for Linux

Free download Visual Blocks Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named Visual Blocks whose latest release can be downloaded as visualblockssourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Visual Blocks with OnWorks for free.

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- 1. Descargue esta aplicación en su PC.

- 2. Ingrese en nuestro administrador de archivos https://www.onworks.net/myfiles.php?username=XXXXX con el nombre de usuario que desee.

- 3. Cargue esta aplicación en dicho administrador de archivos.

- 4. Inicie el emulador en línea OnWorks Linux o Windows en línea o el emulador en línea MACOS desde este sitio web.

- 5. Desde el SO OnWorks Linux que acaba de iniciar, vaya a nuestro administrador de archivos https://www.onworks.net/myfiles.php?username=XXXXX con el nombre de usuario que desee.

- 6. Descarga la aplicación, instálala y ejecútala.

SCREENSHOTS

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Visual Blocks


DESCRIPCIÓN

Visual Blocks is a node-based, in-browser environment for building AI and data-processing workflows with drag-and-drop components. It lets you connect sources, transforms, models, and visualizers into a live graph, so changes propagate instantly and results are observable without writing glue code. Under the hood it leans on web-friendly runtimes (e.g., WebGPU/WebGL/WebNN or TensorFlow.js backends) to execute pipelines locally, which is great for demos, teaching, and privacy-sensitive prototypes. The block abstraction encourages modularity: you can package a preprocessor, a model, and a postprocessor as a reusable composite for others to slot into their graphs. Because everything lives in the browser, sharing is as simple as exporting a project or link, and collaborators can experiment without installing toolchains. For educators and product teams alike, Visual Blocks reduces the distance from idea to interactive proof-of-concept by turning ML diagrams.



Caracteristicas

  • Drag-and-drop node graphs for data and ML pipelines
  • Live execution in the browser with immediate visual feedback
  • Reusable composite blocks to share preprocessing and model steps
  • Support for common web ML runtimes and media sources
  • Easy import/export for collaboration and teaching
  • Visual debugging with inspectors, charts, and intermediate previews


Lenguaje de programación

TypeScript


Categorías

Marcos

This is an application that can also be fetched from https://sourceforge.net/projects/visual-blocks.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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