itwinai

Advanced AI workflows for scientific digital twins

https://github.com/intertwin-eu/itwinai

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
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Academic publication links
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (12.4%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

Advanced AI workflows for scientific digital twins

Basic Info

Host: GitHub
Owner: interTwin-eu
License: apache-2.0
Language: Python
Default Branch: main
Homepage: https://itwinai.readthedocs.io
Size: 96.3 MB

Statistics

Stars: 31
Watchers: 3
Forks: 12
Open Issues: 26
Releases: 16

Created almost 3 years ago · Last pushed 6 months ago

Metadata Files

Readme Changelog Contributing License Code of conduct Citation Codeowners Maintainers Copyright

README.md

itwinai is a Python toolkit designed to help scientists and researchers streamline AI and machine learning workflows, specifically for digital twin applications. It provides easy-to-use tools for distributed training, hyper-parameter optimization on HPC systems, and integrated ML logging, reducing engineering overhead and accelerating research. Developed primarily by CERN, in collaboration with Forschungszentrum Jülich (FZJ), itwinai supports modular and reusable ML workflows, with the flexibility to be extended through third-party plugins, empowering AI-driven scientific research in digital twins.

See the latest version of our docs here.

Installation

For instructions on how to install itwinai, please refer to the user installation guide or the developer installation guide, depending on whether you are a user or developer

For information about how to use containers or how to test with pytest, you can look at the following documents:

Owner

Name: interTwin Community
Login: interTwin-eu
Kind: organization
Email: info@intertwin.eu

Website: https://www.intertwin.eu/
Twitter: interTwin_EU
Repositories: 1
Profile: https://github.com/interTwin-eu

Co-designing and prototyping an interdisciplinary Digital Twin Engine.

JOSS Publication

itwinai: A Python Toolkit for Scalable Scientific Machine Learning on HPC Systems

Published

January 20, 2026

DOI

10.21105/joss.09409

Volume 11, Issue 117, Page 9409

Authors

Matteo Bunino

European Organization for Nuclear Research (CERN), Espl. des Particules 1, 1217 Genève, Switzerland

Jarl Sæther

European Organization for Nuclear Research (CERN), Espl. des Particules 1, 1217 Genève, Switzerland

Linus Eickhoff

European Organization for Nuclear Research (CERN), Espl. des Particules 1, 1217 Genève, Switzerland

Anna Lappe

European Organization for Nuclear Research (CERN), Espl. des Particules 1, 1217 Genève, Switzerland

Kalliopi Tsolaki

European Organization for Nuclear Research (CERN), Espl. des Particules 1, 1217 Genève, Switzerland

Killian Verder

European Organization for Nuclear Research (CERN), Espl. des Particules 1, 1217 Genève, Switzerland

Henry Mutegeki

European Organization for Nuclear Research (CERN), Espl. des Particules 1, 1217 Genève, Switzerland

Roman Machacek

European Organization for Nuclear Research (CERN), Espl. des Particules 1, 1217 Genève, Switzerland

Maria Girone

European Organization for Nuclear Research (CERN), Espl. des Particules 1, 1217 Genève, Switzerland

Oleksandr Krochak

Forschungszentrum Jülich, Jülich Supercomputing Center, Germany

Mario Rüttgers

Forschungszentrum Jülich, Jülich Supercomputing Center, Germany, Data-Driven Fluid Engineering (DDFE) Laboratory, Inha University, Incheon, Republic of Korea

Rakesh Sarma

Forschungszentrum Jülich, Jülich Supercomputing Center, Germany

Andreas Lintermann

Forschungszentrum Jülich, Jülich Supercomputing Center, Germany

Editor

Sébastien Boisgérault

Tags

Digital Twins Distributed Training Hyperparameter Optimization High Performance Computing

View PDF Review Thread Software Archive

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: itwinai
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software

# The oder reflects the contributions to the repository to date
# Also including supervisors who attended the meetings
authors:
  - given-names: Matteo
    family-names: Bunino
    email: matteo.bunino@cern.ch
    affiliation: CERN
    orcid: 'https://orcid.org/0009-0008-5100-9300'
  - given-names: Rakesh
    family-names: Sarma
    email: r.sarma@fz-juelich.de
    affiliation: FZ Jülich
  - given-names: Jarl Sondre
    family-names: Sæther
    email: jarl.sondre.saether@cern.ch
    affiliation: CERN
  - given-names: Anna Elisa
    family-names: Lappe
    email: anna.elisa.lappe@cern.ch
    affiliation: CERN
  - given-names: Kalliopi
    family-names: Tsolaki
    email: kalliopi.tsolaki@cern.ch
    affiliation: CERN
  - given-names: Killian
    family-names: Verder
    email: killian.verder@cern.ch
    affiliation: CERN
  - given-names: Henry
    family-names: Mutegeki
    email: henry.mutegeki@cern.ch
    affiliation: CERN
  - given-names: Roman
    family-names: Machacek
    email: roman.machacek@cern.ch
    affiliation: CERN
  - given-names: Alexander
    family-names: Zoechbauer
    email: alexander.zoechbauer@cern.ch
    affiliation: CERN
  - given-names: Mario
    family-names: Ruettgers
    email: m.ruettgers@fz-juelich.de
    affiliation: FZ Jülich
  - given-names: Ilaria
    family-names: Luise
    email: ilaria.luise@cern.ch
    affiliation: CERN
  - given-names: Eric
    family-names: Wulff
    email: eric.wulff@cern.ch
    affiliation: CERN
  - given-names: Maria
    family-names: Girone
    email: maria.girone@cern.ch
    affiliation: CERN
  - given-names: Andreas
    family-names: Lintermann
    email: a.lintermann@fz-juelich.de
    affiliation: FZ Jülich
repository-code: 'https://github.com/interTwin-eu/itwinai'
url: 'https://itwinai.readthedocs.io/'
abstract: AI on cloud and HPC made simple for science
keywords:
  - Artificial intelligence
  - Machine learning
  - Digital twins
  - Climate research
  - Physics research
license: MIT

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 64
Total pull requests: 97
Average time to close issues: 3 months
Average time to close pull requests: 11 days
Total issue authors: 6
Total pull request authors: 12
Average comments per issue: 0.34
Average comments per pull request: 0.32
Merged pull requests: 61
Bot issues: 0
Bot pull requests: 3

Past Year

Issues: 59
Pull requests: 97
Average time to close issues: about 1 month
Average time to close pull requests: 11 days
Issue authors: 6
Pull request authors: 12
Average comments per issue: 0.37
Average comments per pull request: 0.32
Merged pull requests: 61
Bot issues: 0
Bot pull requests: 3

View more stats

Top Authors

Issue Authors

matbun (62)
jarlsondre (36)
annaelisalappe (7)
lineick (5)
MrGweep (3)
Anjali-Khantaal (2)
iacopoff (1)

Pull Request Authors

matbun (93)
jarlsondre (36)
lineick (23)
annaelisalappe (11)
r-sarma (11)
dependabot[bot] (10)
MutegekiHenry (3)
KalliopiTsolaki (3)
VeraMay (2)
orviz (2)
okrochak (2)
iacopoff (2)
andrea-manzi (2)
Yuvrajsinghspd09 (1)
Anjali-Khantaal (1)

Top Labels

Issue Labels

Core prototype⚙️ (31) enhancement (20) 🛩️ Use case (17) documentation (12) bug (10) Documentation (4) Dependencies (3) dependencies (3) Bug (2) Analysis 🔎 (1) Design 📐 (1) Feature request (1) parent issue (1) clean up (1) HPC/Infrastructure 🏭 (1)

Pull Request Labels

enhancement (26) Core prototype⚙️ (25) documentation (24) dependencies (15) bug (11) 🛩️ Use case (8) Documentation (6) Dependencies (3) SLURM (3) Bug (3) Clean up (3) CLI (2) clean up (2) github_actions (1) parent issue (1) HPC/Infrastructure 🏭 (1)

Packages

Total packages: 1
Total downloads:
- pypi 427 last-month

Total dependent packages: 0
Total dependent repositories: 0
Total versions: 14
Total maintainers: 1

pypi.org: itwinai

AI and ML workflows module for scientific digital twins.

Homepage: https://www.intertwin.eu/
Documentation: https://itwinai.readthedocs.io/
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Latest release: 0.3.4
published 7 months ago

Versions: 14
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 427 Last month

Rankings

Dependent packages count: 9.5%

Average: 35.9%

Dependent repos count: 62.4%

Maintainers (1)

matbun

Last synced: 6 months ago

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