arrayview

This is my array viewer. There are many like it, but this one is mine.

Arrayview lets you scroll through multi-dimensional arrays.

Open it from the shell, from Python, Julia, or Matlab, or inside a Jupyter notebook. Use it locally or over SSH.

If you work in VS Code, you can open arrays directly from the explorer — click an array file, or right-click a folder and choose Open Folder in ArrayView to review a DICOM series or a whole directory of arrays as one stack. With Remote SSH or a tunnel, it works the same way.

It is meant to feel simple but there's more to it than meets the eye.

Curious? Give it a try with

uvx arrayview your_array.npy
uvx arrayview path/to/dicom-series/

Press v for the three-plane ortho view. Shift+3 replaces the current slice, or all three ortho panes, with interactive 3D cutaway renders. Drop another file onto an open viewer to compare, open separately, or overlay it.

Check the docs to learn more.

Warning: Arrayview is still under active development. Things may break or change without warning.

Project links

Data verified by PyPI on Aug 18, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.45.1)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for oscarracso from gravatar.com oscarracso

Credits

Author: Oscar

GitHub Statistics

Data verified by PyPI on Aug 18, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License (MIT)

Requires

Python >=3.12

Tags

array mri npy viewer visualization

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

arrayview-0.43.3.tar.gz (988.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

arrayview-0.43.3-py3-none-any.whl (771.0 kB view details)

Uploaded Python 3

File details

Details for the file arrayview-0.43.3.tar.gz.

File metadata

  • Download URL: arrayview-0.43.3.tar.gz
  • Upload date:
  • Size: 988.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for arrayview-0.43.3.tar.gz
Algorithm Hash digest
SHA256 c61a83afb4383bc6c6b6d495f9406720e05ca59212fb105f7d2e2d277016de68
MD5 01708c04b751f33370e7119e4b103fbb
BLAKE2b-256 dfeb5de616dd2d061e484962f3b3db951f3f384e7bda1fb9101fe7ff47b92c2a

See more details on using hashes here.

Provenance

The following attestation bundles were made for arrayview-0.43.3.tar.gz:

Publisher: python-publish.yml on oscarvanderheide/arrayview

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file arrayview-0.43.3-py3-none-any.whl.

File metadata

  • Download URL: arrayview-0.43.3-py3-none-any.whl
  • Upload date:
  • Size: 771.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for arrayview-0.43.3-py3-none-any.whl
Algorithm Hash digest
SHA256 04c18292be53f500100ca1d425fcb267c0cf7cb47be55e6650d8dc07d9d2280b
MD5 b930e62058f5e2ee2ed6b8a4aa2c40cb
BLAKE2b-256 193f0df45690f6564fd28214e1080f79a29b8e220446cc8b7342955b08149f73

See more details on using hashes here.

Provenance

The following attestation bundles were made for arrayview-0.43.3-py3-none-any.whl:

Publisher: python-publish.yml on oscarvanderheide/arrayview

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

0.45.1

2 files

0.45.0

2 files

0.44.0

2 files

0.43.4

2 files

This release

0.43.3 This release

2 files

0.43.2

2 files

0.43.1

2 files

0.43.0

2 files

0.42.2

2 files

0.42.1

2 files

0.42.0

2 files

0.41.1

2 files

0.41.0

2 files

0.40.0

2 files

0.39.0

2 files

0.38.1

2 files

0.37.1

2 files

0.36.0

2 files

0.35.3

2 files

0.35.2

2 files

0.35.1

2 files

0.35.0

2 files

0.34.0

2 files

0.33.1

2 files

0.33.0

2 files

0.32.0

2 files

0.31.3

2 files

0.31.2

2 files

0.31.1

2 files

0.31.0

2 files

0.30.0

2 files

0.29.2

2 files

0.29.1

2 files

0.29.0

2 files

0.28.1

2 files

0.28.0

2 files

0.27.2

2 files

0.27.0

2 files

0.26.3

2 files

0.26.2

2 files

0.26.1

2 files

0.26.0

2 files

0.25.1

2 files

0.25.0

2 files

0.24.0

2 files

0.23.0

2 files

0.22.0

2 files

0.21.0

2 files

0.20.0

2 files

0.19.0

2 files

0.18.0

2 files

0.17.0

2 files

0.16.0

2 files

0.15.0

2 files

0.14.0

2 files

0.13.0

2 files

0.12.2

2 files

0.12.1

2 files

0.12.0

2 files

0.11.0

2 files

0.10.1

2 files

0.10.0

2 files

0.9.0

2 files

0.8.0

2 files

0.7.0

2 files

0.6.0

2 files

0.5.1

2 files

0.4.0

2 files

0.3.0

2 files

0.2.4

2 files

0.2.3

2 files

0.2.2

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page