https://github.com/caltech-ipac/pyneid

NEID-related python modules
https://github.com/caltech-ipac/pyneid

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NEID-related python modules

• Host: GitHub
• URL: https://github.com/caltech-ipac/pyneid
• Owner: Caltech-IPAC
• License: bsd-3-clause
• Created: 2020-07-15T18:45:01.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-11-03T18:42:49.000Z (about 2 years ago)
• Last Synced: 2024-11-10T20:52:25.866Z (about 2 months ago)
• Language: Python
• Size: 84 KB
• Stars: 4
• Watchers: 5
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
NEID Table Access Protocol (TAP) Client

======================================

[![Build Status](https://www.travis-ci.com/Caltech-IPAC/pyNEID.svg?branch=master)](https://www.travis-ci.com/Caltech-IPAC/pyNEID)

[![Documentation Status](https://readthedocs.org/projects/pyneid/badge/?version=latest)](https://pyneid.readthedocs.io/en/latest/?badge=latest)

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Documentation is available on [ReadTheDocs](https://pyneid.readthedocs.io/en/latest/). Please report any bugs to [email protected]

This package provides API access to the NEID Archive: neid.ipac.caltech.edu

The package can be installed via pip: `pip install pyneid`

With pyNEID you can:

  - log in using your NEID Archive credentials, or use without login for access to public data only

  - query the archive for tables of L0, L1, and L2 metadata

  - download FITS files of any level

  - more features to come...

Contributions are welcome! If you wish to contribute code please create a fork and submit a pull request with a good description of the proposed changes.

The NEID Table Access Protocol service is a general tool for making 

SQL queries against NEID database tables (which reside in an Oracle

DBMS). TAP is a standard defined by the International Virtual 

Astronomy Alliance (IVOA).

There are multiple TAP client packages in existence (notably TAPPlus

from the AstroQuery Python package.  This client does not try to 

reproduce that functionality but rather provide simple-to-use custom

query support for a few common use cases (e.g. query by proposal ID).

In addition, it supports proprietary access using standard session

cookies and a separate login service.

This software is written in Python 3.