pylife | a general library for fatigue and reliability
kandi X-RAY | pylife Summary
kandi X-RAY | pylife Summary
pylife is a Python library. pylife has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pylife' or download it from GitHub, PyPI.
pyLife is an Open Source Python library for state of the art algorithms used in lifetime assessment of mechanical components subject to fatigue load.
pyLife is an Open Source Python library for state of the art algorithms used in lifetime assessment of mechanical components subject to fatigue load.
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pylife has a low active ecosystem.
It has 76 star(s) with 17 fork(s). There are 12 watchers for this library.
There were 5 major release(s) in the last 12 months.
There are 2 open issues and 3 have been closed. On average issues are closed in 43 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of pylife is 2.2.0a1
Quality
pylife has no bugs reported.
Security
pylife has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
pylife is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
pylife releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed pylife and discovered the below as its top functions. This is intended to give you an instant insight into pylife implemented functionality, and help decide if they suit your requirements.
- Rebin a histogram
- Fail if a binning is invalid
- Returns a frame representation of the mesh
- Perform binning
- Creates a variable
- Return the position of the field
- Return frame with given frame id
- Clean a timeseries
- Extract feature data from a row
- Compute principal principal components
- Compute a five - segment correction for a five segment
- Convenience function to strain the strain
- Compute the stress of the particle
- Bandpass filter
- Compute a pandas dataframe
- Calculate the analysis for a given WC
- Wait for a ready sign
- Get the nodes of the given instance
- Returns the connectivity of an instance
- Retrieve a single variable
- Process the input samples
- Calculate residuals
- Calculate the stress of the particle
- Convenience function for the strain
- R Calculates the sensitivity sensitivity of the experimental mean stress sensitivity
- Raise AttributeError if the key is missing
Get all kandi verified functions for this library.
pylife Key Features
No Key Features are available at this moment for pylife.
pylife Examples and Code Snippets
No Code Snippets are available at this moment for pylife.
Community Discussions
No Community Discussions are available at this moment for pylife.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pylife
You can install using 'pip install pylife' or download it from GitHub, PyPI.
You can use pylife 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 pylife 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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