Skip to main content

n-dimensional array viewer in Python.

Project description

Napari viewer is a fast, interactive, multi-dimensional image viewer for Python. It’s designed for browsing, annotating, and analyzing large multi-dimensional images. It’s built on top of Qt (for the GUI), vispy (for performant GPU-based rendering), and the scientific Python stack (numpy, scipy).

Release history Release notifications | RSS feed

Download files

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

Source Distribution

napari-0.3.0rc1.tar.gz (576.4 kB view details)

Uploaded Source

Built Distribution

napari-0.3.0rc1-py3-none-any.whl (6.1 MB view details)

Uploaded Python 3

File details

Details for the file napari-0.3.0rc1.tar.gz.

File metadata

  • Download URL: napari-0.3.0rc1.tar.gz
  • Upload date:
  • Size: 576.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0.post20200309 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.4

File hashes

Hashes for napari-0.3.0rc1.tar.gz
Algorithm Hash digest
SHA256 d22d6f863605d984fe0c3a6984b95728c32ddb3fd556873895a98bc43844fe20
MD5 bbc14f6494cf73ddca1f803824025afb
BLAKE2b-256 02b542b0aafb864b3cf534e24138e5ccfe0b9751619094db08c5977c765d14d8

See more details on using hashes here.

Provenance

File details

Details for the file napari-0.3.0rc1-py3-none-any.whl.

File metadata

  • Download URL: napari-0.3.0rc1-py3-none-any.whl
  • Upload date:
  • Size: 6.1 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0.post20200309 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.4

File hashes

Hashes for napari-0.3.0rc1-py3-none-any.whl
Algorithm Hash digest
SHA256 a172454b3820eee0b505927afa7d5c79e4713be7eabd91e77fda8e53457ed128
MD5 a368be4732f8527a6c96679764714a1b
BLAKE2b-256 9194b70cc692f6e2be7e3d0eba18725c56fcb6f4c2c7c57db63df174c8fdfea2

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page