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JOSS: https://github.com/mathLab/PINA

Score: 10.793660156255225

Last synced: about 19 hours ago
JSON representation

Repository metadata:

Physics-Informed Neural networks for Advanced modeling


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: 5 days ago

Total Commits: 741
Total Committers: 39
Avg Commits per committer: 19.0
Development Distribution Score (DDS): 0.76

Commits in past year: 170
Committers in past year: 11
Avg Commits per committer in past year: 15.455
Development Distribution Score (DDS) in past year: 0.376

Name Email Commits
Dario Coscia 9****a 178
Nicola Demo d****a@g****m 161
GiovanniCanali g****8@y****t 139
FilippoOlivo f****o@f****m 100
github-actions[bot] 4****] 22
Matteo Bertocchi m****4@g****m 19
Anna Ivagnes 7****s 17
Dario Coscia d****a@c****t 11
Dario Coscia d****a@D****l 9
Francesco Andreuzzi a****o@g****m 8
Dario Coscia d****a@d****t 8
Giovanni Canali 1****8 8
Zahra Mirzaiyan Dehkordi z****y@z****t 6
Kush 5****K 6
Giuseppe Alessio D'Inverno 6****e 6
Dario Coscia d****a@c****t 5
Monthly Tag bot m****t@n****m 4
cyberguli g****a@a****t 4
ajacoby9 a****y@g****m 3
Dario Coscia d****a@d****t 2
Dario Coscia d****a@d****t 2
Pasquale Africa p****a@s****t 2
M.Couraud m****s@c****t 2
Lorenzo Tomada 1****a 2
Daniel S. Katz d****z@i****g 2
Ben Volokh 8****3 2
Dario Coscia d****a@c****t 1
Dario Coscia d****a@c****t 1
HGangloff h****f@i****r 1
Dario Coscia d****a@c****t 1
and 9 more...

Issue and Pull Request metadata

Last synced: 3 months ago

Total issues: 198
Total pull requests: 561
Average time to close issues: about 2 months
Average time to close pull requests: 9 days
Total issue authors: 33
Total pull request authors: 34
Average comments per issue: 1.13
Average comments per pull request: 1.12
Merged pull request: 403
Bot issues: 0
Bot pull requests: 60

Past year issues: 38
Past year pull requests: 69
Past year average time to close issues: 10 days
Past year average time to close pull requests: 7 days
Past year issue authors: 6
Past year pull request authors: 10
Past year average comments per issue: 0.29
Past year average comments per pull request: 2.04
Past year merged pull request: 32
Past year bot issues: 0
Past year bot pull requests: 2

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

Top Issue Authors

  • dario-coscia (66)
  • ndem0 (33)
  • GiovanniCanali (25)
  • FilippoOlivo (9)
  • LoveFrootLoops (8)
  • annaivagnes (5)
  • gc031298 (5)
  • dgm2 (5)
  • karthikncsuiisc (5)
  • luAndre00 (4)
  • Bovhasselt (3)
  • AleDinve (3)
  • yorkiva (2)
  • karfungc (2)
  • akshaysubr (2)

Top Pull Request Authors

  • dario-coscia (211)
  • ndem0 (95)
  • github-actions[bot] (60)
  • FilippoOlivo (50)
  • GiovanniCanali (31)
  • annaivagnes (18)
  • AleDinve (12)
  • gc031298 (10)
  • fAndreuzzi (9)
  • MatteB03 (8)
  • SpartaKushK (8)
  • benv123 (8)
  • guglielmopadula (7)
  • ZahraMirzaiyan (4)
  • avisquid (3)

Top Issue Labels

  • enhancement (81)
  • bug (61)
  • help wanted (18)
  • high priority (18)
  • v0.2 (18)
  • question (9)
  • 0.3 (8)
  • low priority (7)
  • tutorials (7)
  • good first issue (6)
  • maintenance (5)
  • documentation (4)
  • v0.1 (4)
  • duplicate (2)
  • wontfix (1)
  • priority (1)

Top Pull Request Labels

  • pr-to-review (127)
  • enhancement (61)
  • pr-to-fix (41)
  • maintenance (33)
  • v0.2 (29)
  • bug (25)
  • high priority (21)
  • 0.3 (11)
  • v0.1 (10)
  • tutorials (9)
  • low priority (5)
  • documentation (5)
  • help wanted (1)

Package metadata

pypi.org: pina-mathlab

Physic Informed Neural networks for Advance modeling.

  • Homepage: https://mathlab.github.io/PINA/
  • Documentation: https://pina-mathlab.readthedocs.io/
  • Licenses: MIT
  • Latest release: 0.3.2 (published about 1 month ago)
  • Last Synced: 2026-08-15T02:45:52.229Z (2 days ago)
  • Versions: 39
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 1,247 Last month
  • Rankings:
    • Stargazers count: 5.318%
    • Forks count: 6.384%
    • Dependent packages count: 10.06%
    • Average: 11.133%
    • Downloads: 12.27%
    • Dependent repos count: 21.634%
  • Maintainers (1)