Metadata-Version: 2.4
Name: schedview
Version: 0.20.1
Summary: Tools for visualization of Rubin Observatory's scheduler status, strategy and progress on LSST.
Author: Eric Neilsen, Lynne Jones, Eman Ali, Alice Serene
Project-URL: documentation, https://schedview.lsst.io
Project-URL: repository, https://github.com/lsst/schedview
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering :: Astronomy
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: astropy>=5.3
Requires-Dist: colorcet
Requires-Dist: bokeh>=3.1.1
Requires-Dist: healpy
Requires-Dist: holoviews
Requires-Dist: hvplot
Requires-Dist: lsst-efd-client
Requires-Dist: lsst-resources
Requires-Dist: matplotlib
Requires-Dist: numpy
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Requires-Dist: param
Requires-Dist: psycopg2
Requires-Dist: pytz
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Requires-Dist: tabulate
Requires-Dist: rubin-scheduler>=3.11.0
Requires-Dist: rubin-sim>=2.6.0
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Provides-Extra: dev
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Dynamic: license-file

# schedview

[![pypi](https://img.shields.io/pypi/v/schedview.svg)](https://pypi.org/project/schedview/)
 [![Conda Version](https://img.shields.io/conda/vn/conda-forge/schedview.svg)](https://anaconda.org/conda-forge/schedview) <br>
[![Run CI](https://github.com/lsst/schedview/actions/workflows/test_and_build.yaml/badge.svg)](https://github.com/lsst/schedview/actions/workflows/test_and_build.yaml)
[![codecov](https://codecov.io/gh/lsst/schedview/branch/main/graph/badge.svg?token=2BUBL8R9RH)](https://codecov.io/gh/lsst/schedview)

The `schedview` module provides tools for visualizing Rubin Observatory scheduler behaviour and Rubin Observatory/LSST survey status, including:

- A collection of functions, eacho of which creates an independent visualization of some aspect of scheduler behaviour, state, or surve progress. These functions may be used in `jupyter` notebooks or other python applications, or combined into dashboards or other higher level applications.
- A handful of dashboard applications that collect relevant visualizations into sets suitable for specific use cases.
