fmflow

:zap: Data analysis package for FMLO

https://github.com/fmlo-dev/fmflow

Science Score: 67.0%

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
    2 of 2 committers (100.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (5.3%) to scientific vocabulary

Keywords

astronomy data-analysis fmlo radio-astronomy
Last synced: 6 months ago · JSON representation ·

Repository

:zap: Data analysis package for FMLO

Basic Info
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 0
  • Open Issues: 3
  • Releases: 9
Topics
astronomy data-analysis fmlo radio-astronomy
Created almost 9 years ago · Last pushed 8 months ago
Metadata Files
Readme License Citation

README.md

fmflow

Release Python Downloads DOI Tests

Data analysis package for FMLO

Owner

  • Name: FMLO
  • Login: fmlo-dev
  • Kind: organization

A new off-point-less observing method for sub/mm single dish spectroscopy

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."

title: "fmflow"
abstract: "Data analysis package for FMLO"
version: 0.5.0
date-released: 2025-03-19
license: "MIT"
doi: "10.5281/zenodo.3433962"
url: "https://github.com/fmlo-dev/fmflow"
authors:
  - given-names: "Akio"
    family-names: "Taniguchi"
    affiliation: "Kitami Institute of Technology"
    orcid: "https://orcid.org/0000-0002-9695-6183"

GitHub Events

Total
  • Create event: 5
  • Release event: 1
  • Issues event: 2
  • Delete event: 4
  • Issue comment event: 3
  • Push event: 2
  • Pull request event: 6
Last Year
  • Create event: 5
  • Release event: 1
  • Issues event: 2
  • Delete event: 4
  • Issue comment event: 3
  • Push event: 2
  • Pull request event: 6

Committers

Last synced: almost 3 years ago

All Time
  • Total Commits: 750
  • Total Committers: 2
  • Avg Commits per committer: 375.0
  • Development Distribution Score (DDS): 0.055
Top Committers
Name Email Commits
Akio Taniguchi t****i@i****p 709
Akio Taniguchi t****i@a****p 41
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 7
  • Total pull requests: 21
  • Average time to close issues: about 2 months
  • Average time to close pull requests: 7 months
  • Total issue authors: 1
  • Total pull request authors: 2
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.67
  • Merged pull requests: 6
  • Bot issues: 0
  • Bot pull requests: 15
Past Year
  • Issues: 1
  • Pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: 12 minutes
  • Issue authors: 1
  • Pull request authors: 2
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 1
Top Authors
Issue Authors
  • astropenguin (7)
Pull Request Authors
  • dependabot[bot] (19)
  • astropenguin (7)
Top Labels
Issue Labels
release (4) feature (2) environment (2)
Pull Request Labels
docs (11) dependencies (8) release (5) feature (3) environment (3) python (2)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 100 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 3
  • Total versions: 13
  • Total maintainers: 1
pypi.org: fmflow

Data analysis package for FMLO

  • Versions: 13
  • Dependent Packages: 0
  • Dependent Repositories: 3
  • Downloads: 100 Last month
Rankings
Dependent repos count: 9.0%
Dependent packages count: 10.1%
Average: 19.5%
Downloads: 20.9%
Stargazers count: 27.8%
Forks count: 29.8%
Maintainers (1)
Last synced: 6 months ago

Dependencies

poetry.lock pypi
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  • numpy 1.21.1
  • numpy 1.21.6
  • packaging 21.3
  • pandas 1.4.4
  • pandas 1.1.5
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  • python-dateutil 2.8.2
  • pytz 2022.2.1
  • scikit-learn 1.1.2
  • scikit-learn 1.0.2
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  • setuptools 59.8.0
  • setuptools-scm 6.4.2
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  • threadpoolctl 3.1.0
  • tomli 2.0.1
  • tqdm 4.64.1
  • typing-extensions 4.3.0
  • xarray 0.20.2
  • xarray 2022.6.0
  • zipp 3.8.1
pyproject.toml pypi
  • astropy --- - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: ">=4.3, <5.0" python: ">=3.7, <3.8" - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: "^5.0" python: ">=3.8, <3.11"
  • matplotlib ^3.2
  • netcdf4 ^1.6
  • numba ^0.56
  • numpy --- - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: ">=1.21, <1.22" python: ">=3.7, <3.8" - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: "^1.22" python: ">=3.8, <3.11"
  • python ^3.7
  • pyyaml ^6.0
  • scikit-learn --- - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: ">=1.0, <1.1" python: ">=3.7, <3.8" - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: "^1.1" python: ">=3.8, <3.11"
  • scipy --- - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: ">=1.7, <1.8" python: ">=3.7, <3.8" - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: "^1.8" python: ">=3.8, <3.11"
  • tqdm ^4.64
  • xarray --- - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: ">=0.20, <0.21" python: ">=3.7, <3.8" - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: ">=0.21, <2023" python: ">=3.8, <3.11"
.github/workflows/gh-pages.yaml actions
.github/workflows/pypi.yaml actions
  • abatilo/actions-poetry v3 composite
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.github/workflows/tests.yaml actions
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  • actions/setup-python v5 composite