reliability is a Python library for reliability engineering and survival analysis. It significantly extends the functionality of scipy.stats and also includes many specialist tools that are otherwise only available in proprietary software.
Documentation
Detailed documentation and examples are available at readthedocs.
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 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.
1 maintainer
Metadata
1 maintainer
Release files for reliability 0.9.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| reliability-0.9.0.tar.gz | 267.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| reliability-0.9.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 524.9 kB
Release files / reliability-0.9.0.tar.gz
| Download URL | reliability-0.9.0.tar.gz |
|---|---|
| Size | 267.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
63ca7ff4f1535fd2849ef5cd69c569920c866061fe67b096a327411d04fafc32
|
|
BLAKE2b-256 checksum How to use checksums |
d5e0aa51f663ad5db58ea1a32f18f3623dabca610c728647e549d85f85e53713
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.11
|
Release files / reliability-0.9.0-py3-none-any.whl
| Download URL | reliability-0.9.0-py3-none-any.whl |
|---|---|
| Size | 257.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
89387ea9316a02cb8eadd4d63ceb564aa79db4848df855243cb634b4e7629bdc
|
|
BLAKE2b-256 checksum How to use checksums |
c2013dec868ff3b2e32ba56635ad32489aac863acfb3f123b82e606a0eb70e1e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.11
|
