---
title: Install Numpy viewer on Linux | Snap Store
description: Get the latest version of Numpy viewer for Linux - Convenient viewer
  for numpy files and tensors.
url: https://snapcraft.io/numpyviewer
---

# Numpy viewer (numpyviewer)

[Arend Jan Kramer (arendjankramer)](https://snapcraft.io/publisher/arendjankramer "View all snaps from Arend Jan Kramer (arendjankramer)")

* [Arend Jan Kramer (arendjankramer)](https://snapcraft.io/publisher/arendjankramer "View all snaps from Arend Jan Kramer (arendjankramer)")
* [Development](https://snapcraft.io/search?categories=development)

latest/stable 0.6

Install latest/stable of Numpy viewer

This channel hasn't been updated in a while. It might be unmaintained and have stability or security issues.

---

**Install using the command line**

```
sudo snap install numpyviewer
```

Don't have snapd? [Get set up for snaps](https://snapcraft.io/docs/installing-snapd).

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### Package name

* numpyviewer

---

### License

* unset

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### Last updated

* 21 December 2021 - latest/stable

This snap hasn't been updated in a while. It might be unmaintained and have stability or security issues.

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### Websites

* [github.com/ArendJanKramer/Numpyviewer](https://github.com/ArendJanKramer/Numpyviewer "https://github.com/ArendJanKramer/Numpyviewer")

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##### Report a Snap Store violation

* [Report this Snap](https://snapcraft.io/numpyviewer#report-snap-modal)

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* [Description](https://snapcraft.io/numpyviewer#tab-description)
* [Security](https://snapcraft.io/numpyviewer#tab-security)

#### Convenient viewer for numpy files and tensors.

Viewer for hyperspectral Numpy cubes and (2d/3d/4d)-tensors.

This viewer opens practically all numpy files, that has at least two dimensions. Using a slider it is possible to scroll through the channels. It features an envi to numpy converter, that converts raw ENVI shots to numpy (even white/black-ref support).

It features full support for 4d arrays, such as Tensors. During debugging, a Tensor can be saved using np.save() and analyzed by this tool. The tool allows to slice through batches and channels, and can merge channels into RGB/BGR into one rendered view.

This tool might also be useful for people working with DICOM. If you convert an array of DICOM images to a numpy array, and then save it, then this tool is useful to scroll through slices.

Can convert BIL ENVI files from e.g. "Lumo scanner", Specim FX17, Specim FX10, etc. You can also compare the spectrum of a pixel by left/right clicking in the canvas.

Also available as AppImage. Checkout the GitHub page for more info.

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## Install Numpy viewer on your Linux distribution

Choose your Linux distribution to get detailed installation instructions. If yours is not shown, get more details on the [installing snapd documentation](https://snapcraft.io/docs/installing-snapd).

[### Arch Linux](https://snapcraft.io/install/numpyviewer/arch)

[### CentOS](https://snapcraft.io/install/numpyviewer/centos)

[### Debian](https://snapcraft.io/install/numpyviewer/debian)

[### elementary OS](https://snapcraft.io/install/numpyviewer/elementary)

[### Fedora](https://snapcraft.io/install/numpyviewer/fedora)

[### KDE Neon](https://snapcraft.io/install/numpyviewer/kde-neon)

[### Kubuntu](https://snapcraft.io/install/numpyviewer/kubuntu)

[### Manjaro](https://snapcraft.io/install/numpyviewer/manjaro)

[### Pop!\_OS](https://snapcraft.io/install/numpyviewer/pop)

[### openSUSE](https://snapcraft.io/install/numpyviewer/opensuse)

[### Red Hat Enterprise Linux](https://snapcraft.io/install/numpyviewer/rhel)

[### Ubuntu](https://snapcraft.io/install/numpyviewer/ubuntu)