tornadis | async minimal redis client for tornado ioloop | Web Framework library

by thefab Python Version: 0.8.1 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | tornadis Summary

tornadis is a Python library typically used in Server, Web Framework applications. tornadis has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However tornadis has 2 bugs. You can install using 'pip install tornadis' or download it from GitHub, PyPI.

tornadis is an async minimal redis client for tornado ioloop designed for performance (uses C hiredis parser).

Support

Quality

Security

License

Reuse

Support

tornadis has a low active ecosystem.

It has 126 star(s) with 22 fork(s). There are 12 watchers for this library.

It had no major release in the last 12 months.

There are 6 open issues and 28 have been closed. On average issues are closed in 64 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of tornadis is 0.8.1

Quality

tornadis has 2 bugs (0 blocker, 0 critical, 2 major, 0 minor) and 29 code smells.

Security

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

tornadis code analysis shows 0 unresolved vulnerabilities.

There are 5 security hotspots that need review.

License

tornadis 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

tornadis releases are available to install and integrate.

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.

tornadis saves you 892 person hours of effort in developing the same functionality from scratch.

It has 2039 lines of code, 206 functions and 29 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed tornadis and discovered the below as its top functions. This is intended to give you an instant insight into tornadis implemented functionality, and help decide if they suit your requirements.

Sets multiple benchmarks
Group an iterable into chunks
Creates a coroutine for pubsub messages
Remove the next message from the queue
Pubsubscribe to subscribers
Subscribe to a given command
Get parameters
Make a pipelined client
Stack a call
Append new data
Call pipeline
Handle events
Read data from the socket
Disconnect from the server
Handle a read request
Handle the result of a callback
Explicitly disconnect all clients
Check if the connection has been established
Append data to the end
Disconnect all clients
Call a pipeline
Simple call to redis server
Send PING command
Invokes the callback function
Simple call
Return an application instance

Get all kandi verified functions for this library.

tornadis Key Features

No Key Features are available at this moment for tornadis.

tornadis Examples and Code Snippets

No Code Snippets are available at this moment for tornadis.

Community Discussions

Trending Discussions on tornadis

Tornado asynchronous actions in custom decorator

QUESTION

Tornado asynchronous actions in custom decorator

Asked 2017-Oct-30 at 19:16

I am trying to build a caching decorator using redis and the tornadis library for my Tornado route handlers. This is what I have so far:

...

ANSWER

Answered 2017-Oct-30 at 19:16

Wrapper in your decorator should be gen.coroutine if you want to yield coroutines:

Source https://stackoverflow.com/questions/47010763

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

Vulnerabilities

No vulnerabilities reported

Install tornadis

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