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JOSS: https://github.com/TerrainBento/umami

Score: 6.54534966033442

Last synced: about 14 hours ago
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Repository metadata:

Calculate topographic metrics for assessing model-data fit


GitHub Events

Total
Last Year

Committers metadata

Last synced: 8 months ago

Total Commits: 202
Total Committers: 4
Avg Commits per committer: 50.5
Development Distribution Score (DDS): 0.04

Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Katy Barnhart k****t@g****m 194
mcflugen m****n@g****m 4
Greg Tucker g****r@c****u 3
Daniel S. Katz d****z@i****g 1

Issue and Pull Request metadata

Last synced: 9 months ago

Total issues: 7
Total pull requests: 23
Average time to close issues: 27 days
Average time to close pull requests: about 20 hours
Total issue authors: 1
Total pull request authors: 4
Average comments per issue: 3.86
Average comments per pull request: 0.83
Merged pull request: 22
Bot issues: 0
Bot pull requests: 0

Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/TerrainBento/umami

Top Issue Authors

  • kbarnhart (7)

Top Pull Request Authors

  • kbarnhart (20)
  • gregtucker (1)
  • mcflugen (1)
  • danielskatz (1)

Top Issue Labels

Top Pull Request Labels


Package metadata

pypi.org: umami

Umami calculates landscape metrics

  • Homepage: https://github.com/TerrainBento/umami/
  • Documentation: https://umami.readthedocs.io/
  • Licenses: MIT
  • Latest release: 2.0.0 (published about 6 years ago)
  • Last Synced: 2025-10-30T03:56:53.344Z (8 months ago)
  • Versions: 10
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 85 Last month
  • Rankings:
    • Dependent packages count: 10.082%
    • Forks count: 19.11%
    • Average: 21.457%
    • Dependent repos count: 21.62%
    • Downloads: 24.592%
    • Stargazers count: 31.883%
  • Maintainers (1)
conda-forge.org: umami

Umami is a package for calculating objective functions or objective function components for landscape evolution modeling. Umami offers two primary classes: a Residual which represents the difference between model and data, and Metric which is a calculated value on either model or data. A set of currently supported calculations are found in the umami.calculations submodule. Umami is built on top of the Landlab Toolkit and designed to work well with terrainbento.

  • Homepage: https://umami.readthedocs.io
  • Licenses: MIT
  • Latest release: 2.0.0 (published about 6 years ago)
  • Last Synced: 2025-10-30T03:57:02.431Z (8 months ago)
  • Versions: 10
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent repos count: 34.025%
    • Average: 49.878%
    • Dependent packages count: 51.175%
    • Forks count: 54.185%
    • Stargazers count: 60.125%

Dependencies

docs/environment.yml pypi
  • sphinxcontrib_github_alt *
setup.py pypi
  • scipy *