pip install rq-dashboard==0.6.1

rq-dashboard is a general purpose, lightweight, web interface to monitor your RQ queues, jobs, and workers in realtime.

Source
Among top 2% packages on PyPI.
Over 131.4K downloads in the last 90 days.

Commonly used with rq-dashboard

Based on how often these packages appear together in public requirements.txt files on GitHub.

rq

RQ is a simple, lightweight, library for creating background jobs, and processing them.

procname

Set process titles in Python programs

vent

A library that includes a CLI designed to serve as a platform to collect and analyze data across a flexible set of tools and technologies.

redis

Python client for Redis key-value store

flask-redis

A nice way to use Redis in your Flask app

times

Times is a small, minimalistic, Python library for dealing with time conversions between universal time and arbitrary timezones.

osgiservicebridge

OSGi services implemented in Python

hiredis

Python wrapper for hiredis

consistent_hash

Implements consistent hashing with Python and the algorithm is the same as libketama.

botogram2

A Python framework for Telegram bots

tc_core

Thumbor community extensions core

rejson

ReJSON Python Client

redisgraph

RedisGraph Python Client

luma.oled

A small library to drive an OLED device with either SSD1306, SSD1309, SSD1322, SSD1325, SSD1327, SSD1331, SSD1351, SSD1362, SH1106 or WS0010 chipset

QueryableList

Python module to add support for ORM-style filtering to any list of items

ib

ibPy is a third-party implementation of the API used for accessing the Interactive Brokers on-line trading system. IbPy implements functionality that the Python programmer can use to connect to IB, request stock ticker data, submit orders for stocks and futures, and more.

tori

A collection of libraries and a micro web framework based on Tornado framework

zc.thread

Thread-creation helper

rq-scheduler

Provides job scheduling capabilities to RQ (Redis Queue)

Version usage of rq-dashboard

Proportion of downloaded versions in the last 3 months (only versions over 1%).

0.6.1

72.58%

0.5.3

7.04%

0.3.12

6.27%

0.5.2

4.96%

0.5.1

2.59%

0.3.10

1.55%

0.3.3

1.41%

0.3.7

1.25%