trytravis | implement optimised finite difference computation
kandi X-RAY | trytravis Summary
kandi X-RAY | trytravis Summary
trytravis is a Python library. trytravis has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Devito is a software to implement optimised finite difference (FD) computation from high-level symbolic problem definitions. Starting from symbolic equations defined in SymPy, Devito employs automated code generation and just-in-time (JIT) compilation to execute FD kernels on multiple computer platforms. Devito is part of the OPESCI seismic imaging project. A general overview of Devito features and capabilities can be found here, including a detailed API documentation.
Devito is a software to implement optimised finite difference (FD) computation from high-level symbolic problem definitions. Starting from symbolic equations defined in SymPy, Devito employs automated code generation and just-in-time (JIT) compilation to execute FD kernels on multiple computer platforms. Devito is part of the OPESCI seismic imaging project. A general overview of Devito features and capabilities can be found here, including a detailed API documentation.
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trytravis has a low active ecosystem.
It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
trytravis has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of trytravis is current.
Quality
trytravis has no bugs reported.
Security
trytravis has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
trytravis is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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trytravis releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
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trytravis Key Features
No Key Features are available at this moment for trytravis.
trytravis Examples and Code Snippets
No Code Snippets are available at this moment for trytravis.
Community Discussions
No Community Discussions are available at this moment for trytravis.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install trytravis
The recommended way to install Devito uses the Conda package manager for installation of the necessary software dependencies. Please install either Anaconda or Miniconda using the instructions provided at the download links. You will need the Python 3.6 version.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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