rq-dashboard | Flask-based web front-end for monitoring RQ queues | Dashboard library

by Parallels Python Version: 0.7.0.2 License: Non-SPDX

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

kandi X-RAY | rq-dashboard Summary

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

rq-dashboard is a general purpose, lightweight, [Flask] web front-end to monitor your [RQ] queues, jobs, and workers in realtime.

Support

Quality

Security

License

Reuse

Support

rq-dashboard has a medium active ecosystem.

It has 1333 star(s) with 311 fork(s). There are 43 watchers for this library.

There were 2 major release(s) in the last 12 months.

There are 59 open issues and 142 have been closed. On average issues are closed in 131 days. There are 36 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of rq-dashboard is 0.7.0.2

Quality

rq-dashboard has 0 bugs and 0 code smells.

Security

rq-dashboard has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

rq-dashboard code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

rq-dashboard 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

rq-dashboard 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.

rq-dashboard saves you 490 person hours of effort in developing the same functionality from scratch.

It has 1154 lines of code, 76 functions and 21 files.

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

Top functions reviewed by kandi - BETA

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

Compute style .
Flip the flip
Run arrow .
Parse an offset string
Create a new Popper instance .
Ensures that a popper element has been applied to it .
Get the boundaries of a polygon
Calculates offset relative to a child node .
Computes the placement of auto placement .
Gets the bounding rect of an element .

Get all kandi verified functions for this library.

rq-dashboard Key Features

No Key Features are available at this moment for rq-dashboard.

rq-dashboard Examples and Code Snippets

Creating shared directory between containers with docker-compose

Python

Lines of Code : 15

License : Strong Copyleft (CC BY-SA 4.0)

Copy

volumes:
  data-volume:

  web:
    build: ./webapp
    image: webapp
    container_name: webapp
    ports:
      - "5000:5000"
    depends_on:
      - redis-server
      - mongodb
    volumes:
      - data-volume:/

Community Discussions

Trending Discussions on rq-dashboard

Error connecting django-rq: ImportError: cannot import name get_failed_queue

QUESTION

Error connecting django-rq: ImportError: cannot import name get_failed_queue

Asked 2019-Jun-13 at 03:05

Never worked with django-rq, redis. The problem should be solved easily, I think, but I do not know how.

When I start the server, I get this error ImportError: cannot import name get_failed_queue

I'm use Python 2.7

Full Traceback

...

ANSWER

Answered 2019-Jun-13 at 03:05

This happens because you use django-rq==2.0 that requires rq>=1.0. The function get_failed_queue() does not exist in rq==1.0 anymore, read the release notes to learn how to change your code to make it work again: https://github.com/rq/rq/releases/tag/v1.0

Otherwise, you can just downgrade to django-rq==1.3.1 and rq==0.13

Source https://stackoverflow.com/questions/56514980

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

Vulnerabilities

No vulnerabilities reported

Install rq-dashboard

You can install using 'pip install rq-dashboard' or download it from GitHub, PyPI.
You can use rq-dashboard 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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