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.
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Visual Blocks
DESCRIPTION
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.
Comment ça marche
- 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
Langage de programmation
Manuscrit
Catégories
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.
