diff --git a/index.md b/index.md index 9a713c0..f579eb6 100644 --- a/index.md +++ b/index.md @@ -11,7 +11,7 @@ insert_promo: true

What is Inviwo?

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Inviwo is a software framework for the rapid prototyping visualizations. It is written in C++, exploits modern graphics hardware and is available under BSD license, which permits free use in any setup - also commercially

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Inviwo is a rapid prototyping framework that allows you to easily build data processing pipelines with integrated interaction and visualization. It is available under a BSD license, which permits free use in any setup - also commercially

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Rapid prototyping

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Inviwo provides a rich visual interface for the easy creation of custom visualizations. These visualizations can be saved, modified, and reused on other data.

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Inviwo provides a rich visual interface for creating data processing and visualization pipelines. These pipelines can be saved, modified, and reused on other data.

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Python integration

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Besides being realized in C++, Inviwo exposes a Python 3.7 API, supports Python development, and has Python scripting integrated for batch processing.

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Inviwo exposes a Python API and has Python scripting integrated for batch processing.

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Full extendability

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Inviwo can be extended by implementing own Processors, which can be organized in modules. See our tutorials on creating processors and modules.

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Inviwo can easily be extended by implementing your own data processing and visualization algorithms. See our tutorials on creating processors (data processing building blocks) using our plugin-in module system.

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Data types

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Inviwo can read and visualize many data types, such as HD5, DICOM, RAW and TIFF stacks. So you can visualize data from many simulations and imaging modalities.

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Data formats

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Inviwo can read many data formats, such as HD5, DICOM, NIfTI, CSV, PNG, JPEG, RAW, and TIFF. You can also easily import image files into a single stack.

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Documentation

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To get started with Inviwo, we provide guides on how to install, develop new processors, and create new modules. We also made video tutorials on the most important concepts.

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Checkout the getting started pages for guides on how to install, develop new processors, and create new modules. You can also find video tutorials on the most important concepts.