iris

A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data

https://github.com/scitools/iris

Science Score: 77.0%

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
Links to: zenodo.org
✓
Committers with academic emails
6 of 109 committers (5.5%) from academic institutions
○
Institutional organization owner
○
JOSS paper metadata
○
Scientific vocabulary similarity
Low similarity (6.1%) to scientific vocabulary

Keywords

data-analysis earth-science grib iris meteorology netcdf oceanography python spaceweather visualisation

Keywords from Contributors

cftime axis tk qt gtk wx interpolation cython atmospheric-science ocean-sciences

Last synced: 6 months ago · JSON representation ·

Repository

A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data

Basic Info

Host: GitHub
Owner: SciTools
License: bsd-3-clause
Language: Python
Default Branch: main
Homepage: https://scitools-iris.readthedocs.io/en/stable/
Size: 126 MB

Statistics

Stars: 689
Watchers: 41
Forks: 296
Open Issues: 207
Releases: 82

Topics

data-analysis earth-science grib iris meteorology netcdf oceanography python spaceweather visualisation

Created over 13 years ago · Last pushed 6 months ago

Metadata Files

Readme Changelog Contributing License Code of conduct Citation

Iris is a powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data

| | | |------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | ⚙️ CI | | | 💬 Community | | | 📖 Documentation | | | 📈 Health | | | ✨ Meta | | | 📦 Package | | | 🧰 Repo | | | |

For documentation see the latest developer version or the most recent released stable version.

#ShowYourStripes

Graphics and Lead Scientist: Ed Hawkins, National Centre for Atmospheric Science, University of Reading.

Data: Berkeley Earth, NOAA, UK Met Office, MeteoSwiss, DWD, SMHI, UoR, Meteo France & ZAMG.

#ShowYourStripes is distributed under a Creative Commons Attribution 4.0 International License

Owner

Name: SciTools
Login: SciTools
Kind: organization
Email: scitools.pub@gmail.com
Location: United Kingdom

Website: https://scitools.org.uk/
Repositories: 35
Profile: https://github.com/SciTools

SciTools is a collaborative effort to produce powerful Python-based open-source tools for Earth scientists

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If Iris played an important part in your research then please add us to your reference list by using the references below."
title: "Iris"
keywords:
  - "cf-metadata"
  - "data-analysis"
  - "earth-science"
  - "grib"
  - "netcdf"
  - "meteorology"
  - "oceanography"
  - "space-weather"
  - "ugrid"
  - "visualisation"
authors:
    - name: "Iris contributors"
abstract: "A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data"
license: "BSD-3-Clause"
license-url: "https://spdx.org/licenses/BSD-3-Clause.html"
doi: "10.5281/zenodo.595182"
url: "http://scitools.org.uk/"
repository-code: "https://github.com/SciTools/iris"
type: "software"

GitHub Events

Total

Create event: 114
Release event: 10
Issues event: 267
Watch event: 44
Delete event: 98
Issue comment event: 955
Push event: 247
Pull request event: 512
Pull request review comment event: 482
Pull request review event: 734
Fork event: 13

Last Year

Create event: 114
Release event: 10
Issues event: 268
Watch event: 44
Delete event: 98
Issue comment event: 959
Push event: 247
Pull request event: 513
Pull request review comment event: 482
Pull request review event: 735
Fork event: 14

Committers

Last synced: 7 months ago

All Time

Total Commits: 4,699
Total Committers: 109
Avg Commits per committer: 43.11
Development Distribution Score (DDS): 0.881

Past Year

Commits: 281
Committers: 19
Avg Commits per committer: 14.789
Development Distribution Score (DDS): 0.79

Top Committers

Name	Email	Commits
Bill Little	b**e@g**m	560
Patrick Peglar	p**r@m**k	508
Richard Hattersley	r**y@g**m	407
Peter Killick	p**k@m**k	279
Ed Campbell	d**l@g**m	262
Mark Hedley	m**h@s**k	232
Martin Yeo	4****s	210
Phil Elson	p**b@g**m	191
Elliott Sales de Andrade	q**t@g**m	176
bblay	b**y@g**m	161
Laura Dreyer	l**r@m**k	149
Ruth Comer	1****r	140
Carwyn Pelley	c**b@g**m	138
dependabot[bot]	4****]	127
tkknight	2****t	122
pre-commit-ci[bot]	6****]	100
Andrew Dawson	a**n@a**g	97
scitools-ci[bot]	1****]	83
Daniel Kirkham	d**m@m**k	80
Corinne Bosley	c**y@m**k	72
stephenworsley	4****y	69
Will Benfold	6****d	58
Elias	1****O	47
github-actions[bot]	4****]	44
Bouwe Andela	b**a@e**l	32
Karina Williams	k**s@m**k	22
Henry Wright	8****t	22
ocefpaf	o**f@g**m	21
Carroll, Luke	l**l@m**k	20
tv3141	t****1	17
and 79 more...

Committer Domains (Top 20 + Academic)

metoffice.gov.uk: 20 smhi.se: 2 scitools.org.uk: 1 acm.org: 1 esciencecenter.nl: 1 climate.com: 1 uni-graz.at: 1 climate-energy-college.org: 1 eld245.desktop.frd.metoffice.com: 1 physics.ox.ac.uk: 1 hilboll.de: 1 niwa.co.nz: 1 gitter.im: 1 stfc.ac.uk: 1 canada.ca: 1 bsc.es: 1 eld519.desktop.frd.metoffice.com: 1 lgge162.lab.lan: 1 openrefactory.com: 1 chriscalloway.org: 1 csiro.au: 1 ed.ac.uk: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 2,034
Total pull requests: 4,902
Average time to close issues: about 1 year
Average time to close pull requests: 30 days
Total issue authors: 223
Total pull request authors: 123
Average comments per issue: 3.36
Average comments per pull request: 3.49
Merged pull requests: 3,897
Bot issues: 213
Bot pull requests: 569

Past Year

Issues: 173
Pull requests: 550
Average time to close issues: 17 days
Average time to close pull requests: 6 days
Issue authors: 29
Pull request authors: 22
Average comments per issue: 0.72
Average comments per pull request: 1.93
Merged pull requests: 399
Bot issues: 73
Bot pull requests: 244

View more stats

Top Authors

Issue Authors

pp-mo (278)
github-actions[bot] (193)
trexfeathers (120)
bjlittle (114)
bblay (90)
lbdreyer (88)
rcomer (73)
cpelley (71)
rhattersley (68)
pelson (58)
stephenworsley (40)
DPeterK (37)
valeriupredoi (31)
corinnebosley (28)
schlunma (28)

Pull Request Authors

pp-mo (667)
bjlittle (586)
trexfeathers (354)
rhattersley (273)
dependabot[bot] (208)
marqh (191)
DPeterK (188)
pelson (162)
scitools-ci[bot] (156)
tkknight (155)
rcomer (154)
pre-commit-ci[bot] (154)
lbdreyer (149)
esc24 (148)
cpelley (143)

Top Labels

Issue Labels

Type: Bug (343) Type: Performance (216) Bot (212) Stale (206) Type: Documentation (200) Type: Enhancement (154) Release: Minor (79) Type: Infrastructure (74) Experience: High (70) Experience: Low (55) Feature: ESMValTool (51) Good First Issue (42) Release: Patch (38) Feature: Merge/Concatenate (37) Feature: NetCDF + CF-conventions (35) Release: Major (34) Peloton 🚴‍♂️ (34) Feature: UGRID (34) Status: Decision Required (32) Dragon 🐉 (27) Type: Question (27) Type: Testing (27) Experience: Medium (13) Type: Tech Debt (10) Status: Needs Info (10) Type: Feature Branch (9) Feature: ASV (9) Status: Work in Progress (8) Status: Duplicate (8) Dragon Sub-Task 🦎 (7)

Pull Request Labels

Bot (381) Type: Documentation (307) benchmark_this (240) New: Pull Request (225) Type: Infrastructure (215) Type: Enhancement (141) Release: Minor (126) Type: Feature Branch (123) Type: Testing (112) Type: Bug (106) Feature: pytest (96) Type: Performance (67) Release: Patch (66) Feature: UGRID (61) Status: Duplicate (52) Release: Major (49) Type: Merge Back (33) Status: Work in Progress (33) Experience: Low (27) Experience: High (23) Status: Stalled (22) Feature: ESMValTool (21) Peloton 🚴‍♂️ (20) Status: Decision Required (18) Blocked: CLA needed (17) Feature: NetCDF + CF-conventions (15) Experience: Medium (12) Feature: Arithmetic (9) Feature: ASV (8) Type: Tech Debt (8)

Dependencies

.github/workflows/ci-tests.yml actions

./.github/workflows/composite/cartopy-cache * composite
./.github/workflows/composite/conda-env-cache * composite
./.github/workflows/composite/conda-pkg-cache * composite
./.github/workflows/composite/iris-data-cache * composite
./.github/workflows/composite/nox-cache * composite
actions/checkout v3 composite
conda-incubator/setup-miniconda v2 composite

.github/workflows/ci-wheels.yml actions

./.github/workflows/composite/conda-env-cache * composite
./.github/workflows/composite/conda-pkg-cache * composite
./.github/workflows/composite/nox-cache * composite
actions/checkout v3 composite
actions/download-artifact v3 composite
actions/upload-artifact v3 composite
conda-incubator/setup-miniconda v2 composite
pypa/gh-action-pypi-publish release/v1 composite

.github/workflows/composite/cartopy-cache/action.yml actions

actions/cache v3 composite

.github/workflows/composite/conda-env-cache/action.yml actions

actions/cache v3 composite

.github/workflows/composite/conda-pkg-cache/action.yml actions

actions/cache v3 composite

.github/workflows/composite/iris-data-cache/action.yml actions

actions/cache v3 composite

.github/workflows/composite/nox-cache/action.yml actions

actions/cache v3 composite

.github/workflows/stale.yml actions

actions/stale v7 composite

requirements/pypi-core.txt pypi

cartopy >=0.21
cf-units >=3.1
cftime >=1.5.0
dask >=2022.9.0
matplotlib >=3.5
netcdf4 *
numpy >=1.21,
pyproj *
scipy *
shapely *
xxhash *

.github/workflows/benchmarks_report.yml actions

actions/checkout v3 composite
actions/download-artifact v3 composite
actions/github-script v6 composite
actions/setup-python v4 composite
actions/upload-artifact v3 composite

.github/workflows/benchmarks_run.yml actions

actions/cache v3 composite
actions/checkout v3 composite
actions/upload-artifact v3 composite

.github/workflows/ci-manifest.yml actions

.github/workflows/refresh-lockfiles.yml actions

pyproject.toml pypi

setup.py pypi

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Open Source Science

iris

Science Score: 77.0%

Keywords

Keywords from Contributors

Repository

Basic Info

Statistics

Topics

Metadata Files

README.md

Iris is a powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data

#ShowYourStripes

Owner

Citation (CITATION.cff)

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Dependencies