geventhttpclient | high performance , concurrent http client library | HTTP library

by gwik Python Version: 2.0b1 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | geventhttpclient Summary

geventhttpclient is a Python library typically used in Networking, HTTP applications. geventhttpclient has no bugs, it has no vulnerabilities, it has build file available and it has low support. However geventhttpclient has a Non-SPDX License. You can install using 'pip install geventhttpclient' or download it from GitHub, PyPI.

A high performance, concurrent http client library for python with gevent

Support

Quality

Security

License

Reuse

Support

geventhttpclient has a low active ecosystem.

It has 466 star(s) with 116 fork(s). There are 29 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 8 open issues and 62 have been closed. On average issues are closed in 851 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of geventhttpclient is 2.0b1

Quality

geventhttpclient has 0 bugs and 0 code smells.

Security

geventhttpclient has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

geventhttpclient code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

geventhttpclient has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

geventhttpclient releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

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geventhttpclient Key Features

No Key Features are available at this moment for geventhttpclient.

geventhttpclient Examples and Code Snippets

No Code Snippets are available at this moment for geventhttpclient.

Community Discussions

Trending Discussions on geventhttpclient

Can I run Python app using WMI in GitLab CI if using Linux Docker image?

locust is not installing on my windows 10 for load testing

QUESTION

Can I run Python app using WMI in GitLab CI if using Linux Docker image?

Asked 2021-Nov-14 at 01:08

Objective

In Gitlab runner, run:

some JMeter tests
a Python application that uses WMI to collect server metrics

Problem

The JMeter commands worked fine, using the alpine/jmeter image.

...

ANSWER

Answered 2021-Nov-14 at 01:08

No, the wmi package relies on pywin32 which is only possible to use on Windows because it relies on Windows binary files (windows DLL files) which can only be run on Windows.

Therefore, you must run this Python app on Windows, not Linux.

Jmeter, however, does work on both Windows and Linux.

Source https://stackoverflow.com/questions/69933297

QUESTION

locust is not installing on my windows 10 for load testing

Asked 2020-May-04 at 12:45

I tried installing this pip but getting some error, I want this package module for load testing This is the output i am getting:

...

ANSWER

Answered 2020-May-04 at 12:34

What you need is not Visual Studio, you need Visual C++ build tools

If you need exactly Microsoft Visual C++ 14.0 it can be obtained using Visual Studio Installer, you just need to tick the relevant box under the C++ components:

You might also be interested in How to Run Locust with Different Users article

Source https://stackoverflow.com/questions/61592069

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install geventhttpclient

You can install using 'pip install geventhttpclient' or download it from GitHub, PyPI.
You can use geventhttpclient 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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