pytest-splinter | pytest splinter and selenium integration | Functional Testing library
kandi X-RAY | pytest-splinter Summary
kandi X-RAY | pytest-splinter Summary
pytest-splinter is a Python library typically used in Testing, Functional Testing, Selenium applications. pytest-splinter 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 pytest-splinter' or download it from GitHub, PyPI.
pytest splinter and selenium integration for anyone interested in browser interaction in tests
pytest splinter and selenium integration for anyone interested in browser interaction in tests
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Quality
Security
License
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pytest-splinter has a low active ecosystem.
It has 206 star(s) with 49 fork(s). There are 35 watchers for this library.
It had no major release in the last 12 months.
There are 5 open issues and 66 have been closed. On average issues are closed in 84 days. There are 5 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of pytest-splinter is 3.3.2
Quality
pytest-splinter has 0 bugs and 0 code smells.
Security
pytest-splinter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pytest-splinter code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
pytest-splinter is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
pytest-splinter releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
pytest-splinter saves you 393 person hours of effort in developing the same functionality from scratch.
It has 934 lines of code, 101 functions and 15 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of pytest-splinter
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of pytest-splinter
pytest-splinter Key Features
No Key Features are available at this moment for pytest-splinter.
pytest-splinter Examples and Code Snippets
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$ pip install "pytest<5"
$ pip uninstall -y pytest-yield
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version: '3.7'
services:
selenium:
image: selenium/hub
ports:
- 4444:4444
- 5901:5900
chrome:
image: selenium/node-chrome-debug
depends_on:
- selenium
environment:
- HUB_HOST=selenium
test:
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addopts = --nomigrations --reuse-db -s -p no:pytest-splinter -p no:django
$ pytest --trace-config
...
PLUGIN registered:
PLUGIN registered:
...
=============================================== test session starts
Community Discussions
Trending Discussions on pytest-splinter
QUESTION
Import Error while running pytest in virtualenv
Asked 2020-Jul-28 at 11:02
I am trying to run my pytest (bdd) test cases in virtualenv. I have created a requirements.txt (using pip freeze) file in the root folder as below.
...ANSWER
Answered 2020-Jul-28 at 11:02There's an open issue with pytest-yield
that prevents it to work with latest pytest
version (5.1 and up): #6. This means that you have either to downgrade to an older version of pytest
:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pytest-splinter
You can install using 'pip install pytest-splinter' or download it from GitHub, PyPI.
You can use pytest-splinter 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 pytest-splinter 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:
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