pyentist | Python Scientist - Port of GitHub 's Scientist - A library
kandi X-RAY | pyentist Summary
kandi X-RAY | pyentist Summary
pyentist is a Python library. pyentist has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install pyentist' or download it from GitHub, PyPI.
This is a Python port of GitHub's Scientist which is a library for carefully refactoring critical paths. Let's pretend you're changing the way you handle permissions in a large web app. Tests can help guide your refactoring, but you really want to compare the current and refactored behaviors under load. By using an experiment from this library, you can try both ways (the old way and the new way), and you can make sure that the result is the same, and they both don't have issues (or at least the same issues).
This is a Python port of GitHub's Scientist which is a library for carefully refactoring critical paths. Let's pretend you're changing the way you handle permissions in a large web app. Tests can help guide your refactoring, but you really want to compare the current and refactored behaviors under load. By using an experiment from this library, you can try both ways (the old way and the new way), and you can make sure that the result is the same, and they both don't have issues (or at least the same issues).
Support
Quality
Security
License
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Support
pyentist has a low active ecosystem.
It has 2 star(s) with 1 fork(s). There are 3 watchers for this library.
It had no major release in the last 12 months.
pyentist has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of pyentist is 0.0.2
Quality
pyentist has no bugs reported.
Security
pyentist has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
pyentist is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
pyentist 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.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed pyentist and discovered the below as its top functions. This is intended to give you an instant insight into pyentist implemented functionality, and help decide if they suit your requirements.
- Run the specified behavior .
- Check if two Observation objects are equal .
- Yield an experiment .
- Evaluate candidate candidates .
- Freeze the object .
- Initialize the result .
- Try to find a candidate behavior .
- True if this object is frozen
- Return the raised exception .
- Returns the default configuration context .
Get all kandi verified functions for this library.
pyentist Key Features
No Key Features are available at this moment for pyentist.
pyentist Examples and Code Snippets
No Code Snippets are available at this moment for pyentist.
Community Discussions
No Community Discussions are available at this moment for pyentist.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pyentist
You can install using 'pip install pyentist' or download it from GitHub, PyPI.
You can use pyentist 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 pyentist 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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