Skip to main content

Stellar Image Maturation via Efficient Reduction

Project description

SImMER

arXiv Tests codecov Maintainability License: MIT Build Status PyPI version Conda Version Code style: black Yaml Lint

Repository for developing the SImMER image reduction pipeline. If you'd like to help out, take a look at our ways to contribute. If you use this package in your research, please cite our paper.

Installation

To install with conda (the recommended method), run

conda config --add channels conda-forge
conda install simmer

To install with pip, run

pip install simmer

Or, to install from source, run

python3 -m pip install -U pip
python3 -m pip install -U setuptools setuptools_scm pep517
git clone https://github.com/arjunsavel/SImMER.git


cd simmer
python3 -m pip install -e .

Documentation

To get started, read the docs at our readthedocs site.

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

simmer-1.1.1.tar.gz (816.5 kB view details)

Uploaded Source

Built Distribution

simmer-1.1.1-py3-none-any.whl (220.1 kB view details)

Uploaded Python 3

File details

Details for the file simmer-1.1.1.tar.gz.

File metadata

  • Download URL: simmer-1.1.1.tar.gz
  • Upload date:
  • Size: 816.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for simmer-1.1.1.tar.gz
Algorithm Hash digest
SHA256 54e0cc2c0baa63ce43bceb50e51ed954287dd760463c52cd2a70a3b2dac4c56b
MD5 294b3cba261fb96df8f82cd8a74e1f9b
BLAKE2b-256 38cc458a79ea277f882f47b51c7cbbda97fe0d754a7b47ab79648e50134c1390

See more details on using hashes here.

File details

Details for the file simmer-1.1.1-py3-none-any.whl.

File metadata

  • Download URL: simmer-1.1.1-py3-none-any.whl
  • Upload date:
  • Size: 220.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for simmer-1.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 fab39e2c4241ceedb0bb2f912f64b95ce9c578e0cb051eecfb288becb11db779
MD5 3d2e3bd3c9d68c7cb7bc3446f2310e4d
BLAKE2b-256 480896b1cbe8e7acdc772a2653120b03f7aba0228ef2a8eac4a0bd598f065839

See more details on using hashes here.

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