Metadata-Version: 2.1
Name: reliability
Version: 0.8.0
Summary: Reliability Engineering toolkit for Python
Home-page: https://reliability.readthedocs.io/en/latest/
Author: Matthew Reid
Author-email: alpha.reliability@gmail.com
License: LGPLv3
Project-URL: Documentation, https://reliability.readthedocs.io/en/latest/
Project-URL: Source Code, https://github.com/MatthewReid854/reliability
Project-URL: Donate, https://reliability.readthedocs.io/en/latest/How%20to%20donate%20to%20the%20project.html
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        *reliability* is a Python library for [reliability engineering](https://en.wikipedia.org/wiki/Reliability_engineering) and [survival analysis](https://en.wikipedia.org/wiki/Survival_analysis). It significantly extends the functionality of scipy.stats and also includes many specialist tools that are otherwise only available in proprietary software.
        
        ![](https://raw.githubusercontent.com/MatthewReid854/reliability/master/docs/images/readme_image_V3.png)
        
        ## Documentation
        Detailed documentation and examples are available at [readthedocs](https://reliability.readthedocs.io/en/latest/).
        
        ## Key features
        - Fitting probability distributions to data including right censored data
        - Fitting Weibull mixture models and Weibull Competing risks models
        - Fitting Weibull Defective Subpopulation (DS) models, Weibull Zero Inflated (ZI) models, and Weibull Defective Subpopulation Zero Inflated (DSZI) models
        - Calculating the probability of failure for stress-strength interference between any combination of the supported distributions
        - Support for Exponential, Weibull, Gamma, Gumbel, Normal, Lognormal, Loglogistic, and Beta probability distributions
        - Mean residual life, quantiles, descriptive statistics summaries, random sampling from distributions
        - Plots of probability density function (PDF), cumulative distribution function (CDF), survival function (SF), hazard function (HF), and cumulative hazard function (CHF)
        - Easy creation of distribution objects. Eg. dist = Weibull_Distribution(alpha=4,beta=2)
        - Non-parametric estimation of survival function using Kaplan-Meier, Nelson-Aalen, and Rank Adjustment
        - Goodness of fit tests (AICc, BIC, AD, Log-likelihood)
        - Probability plots on probability paper for all supported distributions
        - Quantile-Quantile plots and Probability-Probability plots
        - Reliability growth, optimal replacement time, sequential sampling charts, similar distributions, reliability test planners
        - Interactive matplotlib functions including crosshairs and distribution explorer
        - Physics of Failure (SN diagram, stress-strain, fracture mechanics, creep)
        - Accelerated Life Testing Models (24) comprising of 4 distributions (Weibull, Exponential, Normal, Lognormal) and 6 life-stress models (Exponential, Eyring, Power, Dual-Exponential, Dual-Power, Power-Exponential).
        - Mean cumulative function and ROCOF for repairable systems
        
        ## Installation and upgrading
        
        To install *reliability* for the first time, open your command prompt and type:
        
        ```
        pip install reliability
        ```
        
        To upgrade a previous installation of *reliability* to the most recent version, open your command prompt and type:
        
        ```
        pip install --upgrade reliability
        ```
        
        If you would like to receive an email notification when a new release of *reliability* is uploaded to PyPI, [NewReleases.io](https://newreleases.io/) provides this service for free.
        
        ## Contact
        If you find any errors, have any suggestions, or would like to request that something be added, please email alpha.reliability@gmail.com.
        
Keywords: reliability,engineering,RAM,weibull,lognormal,exponential,beta,gamma,normal,loglogistic,gumbel,extreme,value,kaplan meier,kaplan-meier,survival,analysis,censored,data,lifelines,probability,distribution,distributions,fit,fitting,curve,quality,ALT,accelerated,life,testing,MCF,mean,cumulative,CIF,DS,ZI,defective,subpopulation,zero,inflated,DSZI
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Programming Language :: Python :: 3
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)
Requires-Python: >=3.7
Description-Content-Type: text/markdown
