SWMManywhere

A tool to synthesise urban drainage network models using publicly available data such as street network, DEM, and building footprints, across the globe.
https://github.com/imperialcollegelondon/swmmanywhere

Category: Natural Resources
Sub Category: Water Supply and Quality

Keywords

hacktoberfest hydraulic-modelling hydrology-stormwater-analysis python stormwater swmm swmm5 swmmanywhere

Keywords from Contributors

decarbonisation hydrology integrated-modelling pollution wastewater water-quality energy-systems-modelling

Last synced: about 9 hours ago
JSON representation

Repository metadata

SWMManywhere is used to derive and simulate a sewer network anywhere in the world


Owner metadata


GitHub Events

Total
Last Year

Committers metadata

Last synced: 12 days ago

Total Commits: 1,192
Total Committers: 11
Avg Commits per committer: 108.364
Development Distribution Score (DDS): 0.461

Commits in past year: 157
Committers in past year: 5
Avg Commits per committer in past year: 31.4
Development Distribution Score (DDS) in past year: 0.529

Name Email Commits
Dobson b****n@i****k 642
barneydobson b****1@g****m 363
pre-commit-ci[bot] 6****] 73
dependabot[bot] 4****] 52
Diego Alonso Alvarez d****z@i****k 36
Tom Bland t****d@h****k 13
Daniel Cummins d****7@i****k 6
Barnaby Dobson b****n@g****m 3
James Paul Turner j****r@i****k 2
Adrian D'Alessandro a****o@i****k 1
AadiUJ a****b@g****m 1

Committer domains:


Issue and Pull Request metadata

Last synced: 9 days ago

Total issues: 150
Total pull requests: 239
Average time to close issues: about 2 months
Average time to close pull requests: 6 days
Total issue authors: 9
Total pull request authors: 8
Average comments per issue: 1.42
Average comments per pull request: 1.25
Merged pull request: 187
Bot issues: 0
Bot pull requests: 94

Past year issues: 38
Past year pull requests: 103
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 9 days
Past year issue authors: 5
Past year pull request authors: 4
Past year average comments per issue: 1.16
Past year average comments per pull request: 1.15
Past year merged pull request: 74
Past year bot issues: 0
Past year bot pull requests: 49

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

Top Issue Authors

  • barneydobson (133)
  • cheginit (9)
  • dalonsoa (2)
  • AnuPal1Hydro123 (1)
  • joeshuttleworth (1)
  • meghnathomas (1)
  • AdrianDAlessandro (1)
  • mebauer (1)
  • cbuahin (1)

Top Pull Request Authors

  • barneydobson (121)
  • pre-commit-ci[bot] (64)
  • dependabot[bot] (30)
  • dalonsoa (11)
  • tsmbland (6)
  • AdrianDAlessandro (3)
  • jamesturner246 (2)
  • dc2917 (2)

Top Issue Labels

  • feature (27)
  • enhancements (23)
  • JOSS (14)
  • documentation (14)
  • hacktoberfest (13)
  • sa_paper (13)
  • refactor (12)
  • bug (11)
  • testing (8)
  • performance (4)
  • deprecation (3)
  • infrastructure (3)
  • metric (3)
  • good first issue (3)
  • graphfcn (3)
  • optimisation (2)
  • github_actions (1)
  • python (1)
  • help wanted (1)
  • wontfix (1)
  • workaround (1)

Top Pull Request Labels

  • dependencies (30)
  • github_actions (12)
  • hacktoberfest-accepted (5)
  • python (4)
  • sa_paper (2)
  • help wanted (1)
  • bug (1)
  • feature (1)

Package metadata

pypi.org: swmmanywhere

SWMManywhere software

  • Homepage:
  • Documentation: https://imperialcollegelondon.github.io/SWMManywhere/
  • Licenses: BSD License
  • Latest release: 0.1.17 (published 3 months ago)
  • Last Synced: 2025-12-18T21:06:47.384Z (7 days ago)
  • Versions: 13
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 412 Last month
  • Rankings:
    • Dependent packages count: 10.285%
    • Average: 34.084%
    • Dependent repos count: 57.884%
  • Maintainers (1)

Score: 13.288877316214986