FTorch

deep-learning fortran hacktoberfest interoperability libtorch machine-learning python pytorch torch

Score: 8.644706511715198

Last synced: about 2 hours ago
JSON representation

Repository metadata:

A library for directly calling PyTorch ML models from Fortran.

Host: GitHub
URL: https://github.com/Cambridge-ICCS/FTorch
Owner: Cambridge-ICCS
License: mit
Created: 2022-10-14T15:56:34.000Z (almost 4 years ago)
Default Branch: main
Last Pushed: 2026-08-11T11:06:46.000Z (10 days ago)
Last Synced: 2026-08-14T04:34:33.960Z (7 days ago)
Topics: deep-learning, fortran, hacktoberfest, interoperability, libtorch, machine-learning, python, pytorch, torch
Language: Fortran
Homepage: https://cambridge-iccs.github.io/FTorch/
Size: 15.4 MB
Stars: 204
Watchers: 4
Forks: 40
Open Issues: 80
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
- Citation: CITATION.cff
- Codeowners: .github/CODEOWNERS

Owner metadata:

Name: Institute of Computing for Climate Science
Login: Cambridge-ICCS
Email:
Kind: organization
Description: Institute of Computing for Climate Science at the University of Cambridge
Website: https://cambridge-iccs.github.io/
Location:
Twitter: Cambridge_ICCS
Company:
Icon url: https://avatars.githubusercontent.com/u/97293575?v=4
Repositories: 8
Last Synced at: 2023-03-05T02:54:20.742Z
Profile URL: https://github.com/Cambridge-ICCS

GitHub Events

Total

Commit comment event: 1
Create event: 163
Delete event: 165
Discussion event: 1
Fork event: 17
Issue comment event: 447
Issues event: 173
Member event: 2
Pull request event: 307
Pull request review comment event: 550
Pull request review event: 643
Push event: 1140
Release event: 1
Watch event: 69
Total: 3679

Last Year

Create event: 44
Delete event: 46
Discussion event: 1
Fork event: 5
Issue comment event: 78
Issues event: 36
Pull request event: 69
Pull request review comment event: 100
Pull request review event: 97
Push event: 293
Watch event: 16
Total: 785

Committers metadata

Last synced: 1 day ago

Total Commits: 509
Total Committers: 20
Avg Commits per committer: 25.45
Development Distribution Score (DDS): 0.589

Commits in past year: 121
Committers in past year: 10
Avg Commits per committer in past year: 12.1
Development Distribution Score (DDS) in past year: 0.529

Name	Email	Commits
Jack Atkinson	j**4@c**k	209
Joe Wallwork	2****3	109
Joe Wallwork	2****k	39
tommelt	t**1@g**m	38
ElliottKasoar	E****r	37
Dominic Orchard	d**d@g**m	21
Athena Elafrou	a**8@c**k	15
Jared Frazier	7****1	11
Niccolò Zanotti	7****i	10
Simon Clifford	s**6@c**k	5
Mikolaj-A-Kowalski	3****i	3
zkatona	9****6	3
Zhenkun Li	l**k@y**t	2
Copilot	1****t	1
Daniel S. Katz	d**z@i**g	1
helgehr	3****r	1
mondus	p**d@s**k	1
Simon Clifford	s**d@i**k	1
Jared Frazier	f**r@i**e	1
vopikamm	3****m	1

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 205
Total pull requests: 350
Average time to close issues: 3 months
Average time to close pull requests: 21 days
Total issue authors: 28
Total pull request authors: 21
Average comments per issue: 1.51
Average comments per pull request: 1.64
Merged pull request: 249
Bot issues: 0
Bot pull requests: 0

Past year issues: 44
Past year pull requests: 63
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 10 days
Past year issue authors: 7
Past year pull request authors: 9
Past year average comments per issue: 1.39
Past year average comments per pull request: 1.97
Past year merged pull request: 46
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/Cambridge-ICCS/FTorch

Top Issue Authors

jatkinson1000 (65)
jwallwork23 (47)
joewallwork (34)
ElliottKasoar (11)
TomMelt (8)
jfdev001 (6)
ma595 (4)
mondus (4)
dorchard (3)
IsidreMas (2)
niccolozanotti (2)
timothyas (2)
SimonClifford (2)
Fengyixin-research (1)
vopikamm (1)

Top Pull Request Authors

jwallwork23 (126)
jatkinson1000 (115)
joewallwork (26)
niccolozanotti (16)
TomMelt (15)
dorchard (10)
jfdev001 (9)
Mikolaj-A-Kowalski (8)
ElliottKasoar (8)
aysha2016 (3)
Copilot (2)
zhenkunl (2)
ma595 (2)
danielskatz (1)
mondus (1)

Top Issue Labels

enhancement (47)
documentation (47)
bug (39)
autograd (32)
testing (24)
hackathon (18)
good first issue (16)
gpu (12)
question (8)
RAB (6)
hacktoberfest (6)
build (6)
iccs-hacktoberfest (4)
online-training (3)
Hacktoberfest (1)
help wanted (1)

Top Pull Request Labels

documentation (67)
enhancement (61)
testing (49)
bug (49)
autograd (44)
gpu (10)
hackathon (9)
RAB (5)
build (3)
good first issue (3)

Dependencies

pyproject.toml pypi

numpy *
torch *

examples/09_Autograd/requirements.txt pypi

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