flowtorch | Python library for analysis and reduced-order modeling

by AndreWeiner C++ Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | flowtorch Summary

flowtorch is a C++ library. flowtorch has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

flowTorch - a Python library for analysis and reduced order modeling of fluid flows. flowTorch is developed primarily by the Flow Modeling and Control group led by Richard Semaan. The development is financed by the German Research Foundation (DFG) within the research program FOR 2895. unsteady flow and interaction phenomena at high speed stall conditions. with the primary goal to investigate flow conditions that lead to buffeting at airfoils in the transonic flow regime. The animation below shows the shock buffet on a NACA-0012 airfoil at Re=10^7, Ma=0.75, and 4 degrees angle of attack. The simulation was conducted in OpenFOAM; follow this link for more information about the setup.

Support

Quality

Security

License

Reuse

Support

flowtorch has a low active ecosystem.

It has 8 star(s) with 6 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 10 have been closed. On average issues are closed in 55 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of flowtorch is current.

Quality

flowtorch has 0 bugs and 0 code smells.

Security

flowtorch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

flowtorch code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

flowtorch is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

flowtorch releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

It has 3351 lines of code, 306 functions and 43 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of flowtorch

Get all kandi verified functions for this library.

flowtorch Key Features

No Key Features are available at this moment for flowtorch.

flowtorch Examples and Code Snippets

No Code Snippets are available at this moment for flowtorch.

Community Discussions

No Community Discussions are available at this moment for flowtorch.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install flowtorch

The easiest way to install flowTorch is as follows:. The repository contains a collection of examples as part of the documentation. To open the Jupyter labs, navigate to ./docs/source/notebooks and run jupyter lab. Note that to execute some of the notebooks, the corresponding datasets are required, which are not included in this repository. Feel free to get in touch if you are interested in the datasets.

Support

If you encounter any issues using flowTorch or if you have any questions regarding current and future development plans, please use the repository's issue tracker. Consider the following steps before and when opening a new issue:.

Find more information at: