pythonocc-utils | python package that provides useful classes
kandi X-RAY | pythonocc-utils Summary
kandi X-RAY | pythonocc-utils Summary
pythonocc-utils is a Python library. pythonocc-utils has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. You can download it from GitHub.
A python package that provides useful classes/methods for pythonocc
A python package that provides useful classes/methods for pythonocc
Support
Quality
Security
License
Reuse
Support
pythonocc-utils has a low active ecosystem.
It has 25 star(s) with 25 fork(s). There are 6 watchers for this library.
It had no major release in the last 6 months.
There are 8 open issues and 1 have been closed. On average issues are closed in 174 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of pythonocc-utils is current.
Quality
pythonocc-utils has 0 bugs and 0 code smells.
Security
pythonocc-utils has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pythonocc-utils code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
pythonocc-utils is licensed under the LGPL-3.0 License. This license is Weak Copyleft.
Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.
Reuse
pythonocc-utils 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.
It has 2532 lines of code, 366 functions and 18 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed pythonocc-utils and discovered the below as its top functions. This is intended to give you an instant insight into pythonocc-utils implemented functionality, and help decide if they suit your requirements.
- N - sided polygon polygon
- Convert a list of points to a BOT curve
- Convert a list of points to TColgp_Array
- Creates an n - sided polygon
- Generate a geodesic path
- Multiply a list of pnts
- Create an edge
- Interpolate points to spline
- Filters the list of points by a given distance
- Return the radius of a point
- Return an iterator over the vertices of the curve
- Solve radius
- Check if the surface is trimmed
- Make a plane
- Trim a wire from wire limits
- Return the radius between two points
- Create a geom plate
- Projected edge onto plane
- Make a circle
- Divide the bounding box into two parameters
- Resample a curve using uniform deflection
- Make the oriented bounding box of the given vector
- Interpolate points to a spline
- Fits the plane through the face of the vertices
- Generate a surface from a list of edges
- Builds a curve network
Get all kandi verified functions for this library.
pythonocc-utils Key Features
No Key Features are available at this moment for pythonocc-utils.
pythonocc-utils Examples and Code Snippets
No Code Snippets are available at this moment for pythonocc-utils.
Community Discussions
No Community Discussions are available at this moment for pythonocc-utils.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pythonocc-utils
You can download it from GitHub.
You can use pythonocc-utils 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 pythonocc-utils 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 .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page