matlab2cpp | Convertion program from Matlab to C++ using Armadillo
kandi X-RAY | matlab2cpp Summary
kandi X-RAY | matlab2cpp Summary
matlab2cpp is a Python library. matlab2cpp has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However matlab2cpp has 12 bugs. You can install using 'pip install matlab2cpp' or download it from GitHub, PyPI.
Convertion program from Matlab to C++ using Armadillo
Convertion program from Matlab to C++ using Armadillo
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Quality
Security
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matlab2cpp has a low active ecosystem.
It has 169 star(s) with 58 fork(s). There are 32 watchers for this library.
It had no major release in the last 12 months.
There are 17 open issues and 85 have been closed. On average issues are closed in 81 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of matlab2cpp is 2.0.1
Quality
matlab2cpp has 12 bugs (0 blocker, 0 critical, 11 major, 1 minor) and 770 code smells.
Security
matlab2cpp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
matlab2cpp code analysis shows 0 unresolved vulnerabilities.
There are 1 security hotspots that need review.
License
matlab2cpp is licensed under the BSD-3-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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matlab2cpp releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
matlab2cpp saves you 4388 person hours of effort in developing the same functionality from scratch.
It has 9294 lines of code, 604 functions and 109 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed matlab2cpp and discovered the below as its top functions. This is intended to give you an instant insight into matlab2cpp implemented functionality, and help decide if they suit your requirements.
- Return a CX operator
- Configure setter
- Configure the argument
- Configures a cube
- Configure matrices
- Implements a for loop
- Returns list of variable lists
- Generate Tbb code
- Omp
- Get matrix representation
- Parse for loop
- R Matrix division
- Find the left matrix division
- Build a QTree
- Get size of node
- GetDeclares declaration
- Resolve zeroes
- Build QScript from code
- Generate lambda declarations
- Handle variable assignments
- Encode a Vector node
- Find the common type for a list of vals
- Get allones for a given node
- Return code block
- Return the IR code for a given node
- Flatten the list
Get all kandi verified functions for this library.
matlab2cpp Key Features
No Key Features are available at this moment for matlab2cpp.
matlab2cpp Examples and Code Snippets
No Code Snippets are available at this moment for matlab2cpp.
Community Discussions
No Community Discussions are available at this moment for matlab2cpp.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install matlab2cpp
You can install using 'pip install matlab2cpp' or download it from GitHub, PyPI.
You can use matlab2cpp like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use matlab2cpp like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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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