sdCloud project
Bringing System Dynamics Into Cloud
Key features

CLOUD-BASED ENGINE

Compute your models in the cloud without any local setup.

SHARE YOUR WORK

Share models you are working on with other to get more contribution and improve your results.

SHARE YOUR RESULTS

Got some interesting finding? Share your modelling results with colleagues and friends.

Working in collaboration with
 
PySD
Simulating System Dynamics Models in Python. PySD translates Vensim or XMILE model files into python modules, and provides methods to modify, simulate, and observe those translated models. Read more here and here.
SDEVERYWHERE
Vensim to C transpiler that handles a broad range of System Dynamics models. It supports some advanced features of Vensim Modeling Language, including subscripts, subranges, and subscript mapping. It generates human-readable C code. Read more.
Project is supported by
sdCloud is supported by
Saint-Petersburg ITMO University
Hosting provided by Veesp™, leader in delivering services for virtual, private and dedicated servers
Liberica JDK - Java SE standard complied Open JDK binary with security updates, provided by BellSoft
SSL
SSL certificates provided in terms of
Open Source support program see more...
Cloud-based parallelization has the potential to transform how SD models are analyzed, making new forms of statistical inference and robustness checking computationally tractable.
James P Houghton, MIT, author of PySD
There are many application domains in which the combination of SD and big data would be beneficial.
Erik Pruyt "From Data-Poor to Data-Rich System Dynamics in the Era of Big Data"
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