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decode

:zap: DESHIMA code for data analysis

https://github.com/deshima-dev/decode

Science Score: 75.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 3 DOI reference(s) in README
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    3 of 6 committers (50.0%) from academic institutions
  • ✓
    Institutional organization owner
    Organization deshima-dev has institutional domain (deshima.ewi.tudelft.nl)
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.3%) to scientific vocabulary

Keywords

astronomy data-analysis deshima python spectroscopy submillimeter

Keywords from Contributors

interactive data-format mesh interpretability profiles sequences generic projection standardization optim
Last synced: 6 months ago · JSON representation ·

Repository

:zap: DESHIMA code for data analysis

Basic Info
Statistics
  • Stars: 7
  • Watchers: 2
  • Forks: 2
  • Open Issues: 11
  • Releases: 81
Topics
astronomy data-analysis deshima python spectroscopy submillimeter
Created over 8 years ago · Last pushed 6 months ago
Metadata Files
Readme License Code of conduct Citation

README.md

de:code

Release Python Downloads DOI Tests

DESHIMA code for data analysis

Installation

shell pip install decode==2025.8.0

Quick look

de:code ships with a quick look command decode-qlook, which will be available from the CUI after installation. It has several subcommands for each observation type. For example, to quick-look at a raster observation: shell $ decode-qlook raster /path/to/dems.zarr.zip where dems.zarr.zip is the merged observation data (DESHIMA measurement set: DEMS) to be checked. By default, it will output an image of the result plots by a simple analysis (e.g. continuum map, etc). You can also get the result data themselves by changing the output format: shell $ decode-qlook raster /path/to/dems.zarr.zip --format zarr.zip See the command help for all available options: ```shell

list of the subcommands and descriptions

$ decode-qlook --help

list of the available command options

$ decode-qlook raster --help ```

If you are not sure about the observation type, the auto subcommand may be useful to automatically select the appropriate command to use: shell $ decode-qlook auto /path/to/dems.zarr.zip

Finally, all subcommands are available as functions in the qlook submodule. For example, the raster command corresponds to decode.qlook.raster and the following Python code is equivalent to the CUI: ```python import decode

decode.qlook.raster("/path/to/dems.zarr.zip") ``` See the qlook module documentation for more information.

Owner

  • Name: DESHIMA
  • Login: deshima-dev
  • Kind: organization

Deep Spectroscopic High-redshift Mapper

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: decode
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Akio
    family-names: Taniguchi
    affiliation: Kitami Institute of Technology
    orcid: 'https://orcid.org/0000-0002-9695-6183'
  - given-names: Juri
    family-names: Yamanaka
    affiliation: Nagoya University
  - given-names: Shinji
    family-names: Fujita
    affiliation: The Institute of Statistical Mathematics
    orcid: 'https://orcid.org/0000-0002-6375-7065'
identifiers:
  - type: doi
    value: 10.5281/zenodo.3384216
repository-code: 'https://github.com/deshima-dev/decode'
url: 'https://deshima-dev.github.io/decode'
abstract: DESHIMA code for data analysis
keywords:
  - python
  - astronomy
  - data-analysis
  - deshima
  - spectroscopy
  - submillimeter
license: MIT
version: 2025.8.0
date-released: '2025-08-18'

GitHub Events

Total
  • Create event: 18
  • Release event: 5
  • Issues event: 19
  • Watch event: 1
  • Delete event: 10
  • Issue comment event: 13
  • Push event: 49
  • Pull request review event: 11
  • Pull request event: 21
Last Year
  • Create event: 18
  • Release event: 5
  • Issues event: 19
  • Watch event: 1
  • Delete event: 10
  • Issue comment event: 13
  • Push event: 49
  • Pull request review event: 11
  • Pull request event: 21

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 574
  • Total Committers: 6
  • Avg Commits per committer: 95.667
  • Development Distribution Score (DDS): 0.209
Past Year
  • Commits: 136
  • Committers: 4
  • Avg Commits per committer: 34.0
  • Development Distribution Score (DDS): 0.324
Top Committers
Name Email Commits
Akio Taniguchi t****i@a****p 454
Tsuyoshi Ishida t****a@i****p 72
ShinjiFujita f****8@g****m 20
hapipapijuris “****0@s****” 14
daisukenaito n****o@n****m 12
dependabot[bot] 4****] 2
Committer Domains (Top 20 + Academic)
naitosystems.com: 1 s.mail.nagoya-u.ac.jp”: 1 ioa.s.u-tokyo.ac.jp: 1 a.phys.nagoya-u.ac.jp: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 117
  • Total pull requests: 127
  • Average time to close issues: 3 months
  • Average time to close pull requests: 11 days
  • Total issue authors: 9
  • Total pull request authors: 6
  • Average comments per issue: 0.08
  • Average comments per pull request: 0.24
  • Merged pull requests: 101
  • Bot issues: 0
  • Bot pull requests: 21
Past Year
  • Issues: 17
  • Pull requests: 24
  • Average time to close issues: 12 days
  • Average time to close pull requests: 12 days
  • Issue authors: 4
  • Pull request authors: 4
  • Average comments per issue: 0.06
  • Average comments per pull request: 0.38
  • Merged pull requests: 22
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • astropenguin (106)
  • ShinjiFujita (4)
  • tjlcbakx (2)
  • Hoshock (1)
  • matusrybak (1)
  • chin-kw (1)
  • hapipapijuris (1)
  • daisukenaito (1)
  • Cladge (1)
Pull Request Authors
  • astropenguin (104)
  • dependabot[bot] (20)
  • ShinjiFujita (17)
  • hapipapijuris (15)
  • daisukenaito (2)
  • Hoshock (1)
Top Labels
Issue Labels
feature (67) release (50) bug (22) docs (2) env (1)
Pull Request Labels
release (71) feature (68) bug (29) dependencies (14) env (2) docs (1)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 2,443 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 19
  • Total versions: 87
  • Total maintainers: 2
pypi.org: decode

DESHIMA code for data analysis

  • Documentation: https://decode.readthedocs.io/
  • License: MIT License Copyright (c) 2018-2025 DESHIMA Team Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
  • Latest release: 2025.8.0
    published 6 months ago
  • Versions: 87
  • Dependent Packages: 0
  • Dependent Repositories: 19
  • Downloads: 2,443 Last month
Rankings
Downloads: 3.2%
Dependent repos count: 3.3%
Dependent packages count: 10.1%
Average: 13.4%
Stargazers count: 20.4%
Forks count: 29.8%
Maintainers (2)
astropenguin hoshock
Last synced: 6 months ago

Dependencies

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  • numpy ^1.21
  • python >=3.7.1, <3.10
  • scikit-learn ^1.0
  • scipy ^1.7
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