Skip to main content

A local web viewer and analysis app for astronomical FITS images.

Project description

Neloura

Neloura is a local web application for opening, visualizing, and analyzing astronomical FITS images.

This package can be run from the command line:

neloura serve
neloura open path/to/image.fits

It can also be used inside Jupyter:

import neloura

neloura.open_fits("path/to/image.fits")

In Jupyter, open_fits() starts a local Neloura server and displays the full app in an iframe below the notebook cell. Outside Jupyter, it opens the app in a browser tab.

On JupyterHub-style remote notebook servers, Neloura automatically uses the notebook server proxy when JUPYTERHUB_SERVICE_PREFIX (or NB_PREFIX) is available, so the same calls work from a browser connected to a remote kernel:

import neloura

neloura.open_app()
neloura.open_fits("path/on/server/image.fits")

If /proxy/<port>/ returns 404 in the browser, the hub image does not have jupyter-server-proxy enabled. Neloura cannot embed in an iframe until that is installed, or you use SSH port forwarding from your laptop to reach http://127.0.0.1:<port>/.

Development Install

From the repository root:

python -m pip install -e ".[notebook]"
neloura serve

On shared notebook servers where the system Python is not writable, install into the user environment:

python -m pip install --user -U neloura

Build

python -m pip install -U build twine
python -m build
twine check dist/*

Project details


Download files

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

Source Distribution

neloura-0.1.23.tar.gz (47.1 MB view details)

Uploaded Source

Built Distribution

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

neloura-0.1.23-py3-none-any.whl (10.5 MB view details)

Uploaded Python 3

File details

Details for the file neloura-0.1.23.tar.gz.

File metadata

  • Download URL: neloura-0.1.23.tar.gz
  • Upload date:
  • Size: 47.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.2

File hashes

Hashes for neloura-0.1.23.tar.gz
Algorithm Hash digest
SHA256 f3fe777c5e2675f24e003f0d7c0416cbf62c9e19adb67cbc0bc5247faaec3e81
MD5 b128c7af7317597ea1b2ef12f207cc5e
BLAKE2b-256 95f36a6eee88f21823648f48296ee6b905883b2c80563751a4492184cb47f6a4

See more details on using hashes here.

File details

Details for the file neloura-0.1.23-py3-none-any.whl.

File metadata

  • Download URL: neloura-0.1.23-py3-none-any.whl
  • Upload date:
  • Size: 10.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.2

File hashes

Hashes for neloura-0.1.23-py3-none-any.whl
Algorithm Hash digest
SHA256 e31cbc7cbb563ebefcb0018fb538af77c138f3ca3d45e5a290a79fb4256c1c7c
MD5 92979194a854201ae4ce5614e84591ea
BLAKE2b-256 1f2108f402ec6b2c559b4c307c8102171091188fd32e832ce0a512f5da18bc63

See more details on using hashes here.

Supported by

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