128 Repositories
Python redis-operator Libraries
🍯 16 honeypots in a single pypi package (DNS, HTTP Proxy, HTTP, HTTPS, SSH, POP3, IMAP, STMP, VNC, SMB, SOCKS5, Redis, TELNET, Postgres & MySQL)
Easy to setup customizable honeypots for monitoring network traffic, bots activities and username\password credentials. The current available honeypot
A Kubernetes operator that creates UptimeRobot monitors for your ingresses
This operator automatically creates uptime monitors at UptimeRobot for your Kubernetes Ingress resources. This allows you to easily integrate uptime monitoring of your services into your Kubernetes deployments.
FastAPI with Celery
Minimal example utilizing fastapi and celery with RabbitMQ for task queue, Redis for celery backend and flower for monitoring the celery tasks.
High-performance Async REST API, in Python. FastAPI + GINO + Arq + Uvicorn (w/ Redis and PostgreSQL).
fastapi-gino-arq-uvicorn High-performance Async REST API, in Python. FastAPI + GINO + Arq + Uvicorn (powered by Redis & PostgreSQL). Contents Get Star
Flower is a web based tool for monitoring and administrating Celery clusters.
Real-time monitor and web admin for Celery distributed task queue
FastAPI framework plugins
Plugins for FastAPI framework, high performance, easy to learn, fast to code, ready for production fastapi-plugins FastAPI framework plugins Cache Mem
FastAPI simple cache
FastAPI Cache Implements simple lightweight cache system as dependencies in FastAPI. Installation pip install fastapi-cache Usage example from fastapi
Distributed Task Queue (development branch)
Version: 5.0.5 (singularity) Web: http://celeryproject.org/ Download: https://pypi.org/project/celery/ Source: https://github.com/celery/celery/ Keywo
RQ (Redis Queue) integration for Flask applications
Flask-RQ RQ (Redis Queue) integration for Flask applications Resources Documentation Issue Tracker Code Development Version Installation $ pip install
Python cluster client for the official redis cluster. Redis 3.0+.
redis-py-cluster This client provides a client for redis cluster that was added in redis 3.0. This project is a port of redis-rb-cluster by antirez, w
A Redis cache backend for django
Redis Django Cache Backend A Redis cache backend for Django Docs can be found at http://django-redis-cache.readthedocs.org/en/latest/. Changelog 3.0.0
A simple app that provides django integration for RQ (Redis Queue)
Django-RQ Django integration with RQ, a Redis based Python queuing library. Django-RQ is a simple app that allows you to configure your queues in djan
Full featured redis cache backend for Django.
Redis cache backend for Django This is a Jazzband project. By contributing you agree to abide by the Contributor Code of Conduct and follow the guidel
FastAPI simple cache
FastAPI Cache Implements simple lightweight cache system as dependencies in FastAPI. Installation pip install fastapi-cache Usage example from fastapi
FastAPI framework plugins
Plugins for FastAPI framework, high performance, easy to learn, fast to code, ready for production fastapi-plugins FastAPI framework plugins Cache Mem
This repository contains code examples and documentation for learning how applications can be developed with Kubernetes
BigBitBus KAT Components Click on the diagram to enlarge, or follow this link for detailed documentation Introduction Welcome to the BigBitBus Kuberne
Redis client for Python asyncio (PEP 3156)
Redis client for Python asyncio. Redis client for the PEP 3156 Python event loop. This Redis library is a completely asynchronous, non-blocking client
asyncio (PEP 3156) Redis support
aioredis asyncio (PEP 3156) Redis client library. Features hiredis parser Yes Pure-python parser Yes Low-level & High-level APIs Yes Connections Pool
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. 150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
Stock Analysis Engine Build and tune investment algorithms for use with artificial intelligence (deep neural networks) with a distributed stack for ru
Simple job queues for Python
RQ (Redis Queue) is a simple Python library for queueing jobs and processing them in the background with workers. It is backed by Redis and it is desi
Mr. Queue - A distributed worker task queue in Python using Redis & gevent
MRQ MRQ is a distributed task queue for python built on top of mongo, redis and gevent. Full documentation is available on readthedocs Why? MRQ is an
a little task queue for python
a lightweight alternative. huey is: a task queue (2019-04-01: version 2.0 released) written in python (2.7+, 3.4+) clean and simple API redis, sqlite,
A fast and reliable background task processing library for Python 3.
dramatiq A fast and reliable distributed task processing library for Python 3. Changelog: https://dramatiq.io/changelog.html Community: https://groups
A Python Library for Simple Models and Containers Persisted in Redis
Redisco Python Containers and Simple Models for Redis Description Redisco allows you to store objects in Redis. It is inspired by the Ruby library Ohm
Rich Python data types for Redis
Created by Stephen McDonald Introduction HOT Redis is a wrapper library for the redis-py client. Rather than calling the Redis commands directly from
Redis Python Client
redis-py The Python interface to the Redis key-value store. Python 2 Compatibility Note redis-py 3.5.x will be the last version of redis-py that suppo
Interactive Redis: A Terminal Client for Redis with AutoCompletion and Syntax Highlighting.
Interactive Redis: A Cli for Redis with AutoCompletion and Syntax Highlighting. IRedis is a terminal client for redis with auto-completion and syntax
Real-time monitor and web admin for Celery distributed task queue
Flower Flower is a web based tool for monitoring and administrating Celery clusters. Features Real-time monitoring using Celery Events Task progress a