We have collection of more than 1 Million open source products ranging from Enterprise product to small libraries in all platforms. We aggregate information from all open source repositories. Search and find the best for your needs. Check out projects section.
haipproxy - :sparkling_heart: High available distributed ip proxy pool, powerd by Scrapy and Redis
- 31
:sparkling_heart: High available distributed ip proxy pool, powerd by Scrapy and Redis
https://spiderclub.github.io/haipproxy/https://github.com/SpiderClub/haipproxy
| Tags | high-availability scrapy ipproxy distributed redis crawler scheduler spider |
| Implementation | Python |
| License | MIT |
| Platform | Windows Linux |
Related Projects
scrapy-redis - Redis-based components for Scrapy.
Redis-based components for Scrapy. You can start multiple spider instances that share a single redis queue. Best suitable for broad multi-domain crawls.
scrapy crawler distributed redispholcus - [Crawler for Golang] Pholcus is a distributed, high concurrency and powerful web crawler software
[Crawler for Golang] Pholcus is a distributed, high concurrency and powerful web crawler software.
crawler spider multi-interface distributed-crawler high-concurrency-crawler fastest-crawler cross-platform-crawler web-crawlerScrapy - Web crawling & scraping framework for Python
Scrapy is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing.
crawler web-crawler scraping text-extraction spiderYugaByte Database - Transactional, high-performance database for building internet-scale, globally-distributed applications
A cloud-native database for building mission-critical applications. This repository contains the Community Edition of the YugaByte Database.YugaByte offers both SQL and NoSQL in a single, unified db. It is meant to be a system-of-record/authoritative database that applications can rely on for correctness and availability. It allows applications to easily scale up and scale down in the cloud, on-premises or across hybrid environments without creating operational complexity or increasing the risk of outages.
distributed-database database cassandra redis cpp high-performance newsql sql nosqlRedisson - Redis based In-Memory Data Grid for Java
Redisson - distributed Java objects and services (Set, Multimap, SortedSet, Map, List, Queue, BlockingQueue, Deque, BlockingDeque, Semaphore, Lock, AtomicLong, Map Reduce, Publish / Subscribe, Bloom filter, Spring Cache, Executor service, Tomcat Session Manager, Scheduler service, JCache API) on top of Redis server. Rich Redis client.
cache distributed-caching distributed-locks redis-client redis-cluster collections java-collections hashmap set queuehouse-renting - Possibly the best practice of Scrapy and renting a house (可能是 Scrapy 和租房的最佳实践)
Possibly the best practice of Scrapy and renting a house (可能是 Scrapy 和租房的最佳实践)
scrapy scrapy-crawler scrapy-spider docker scrapydscrapy-redis - Redis-based components for scrapy that allows distributed crawling
Redis-based components for scrapy that allows distributed crawling
crawler - A high performance web crawler in Elixir.
A high performance web crawler in Elixir, with worker pooling and rate limiting via OPQ. Below is a very high level architecture diagram demonstrating how Crawler works.
elixir crawler spider scraper scraper-engine offline filesSwiftQ - Distributed Task Queue
SwiftQ is a distributed task queue for server side swift applications. Task queues are used as a mechanism to distribute work across machines. SwiftQ uses messages to communicate between clients and workers. In this case the message broker is Redis. SwiftQ uses the reliable queue pattern. This ensures that all tasks get processed even in the event of networking problems or consumer crashes. SwiftQ can be used for real time operations as well as delayed execution of tasks. SwiftQ can consist of multiple producers and consumers allowing for high availability and horizontal scaling. It is recommended that a separate Redis database is used to avoid conflicting name space.
server-side-swiftCm_Cache_Backend_Redis - A Zend_Cache backend for Redis with full support for tags (works great with Magento)
There are two supported methods of achieving High Availability and Load Balancing with Cm_Cache_Backend_Redis.You may achieve high availability and load balancing using Redis Sentinel. To enable use of Redis Sentinel the server specified should be a comma-separated list of Sentinel servers and the sentinel_master option should be specified to indicate the name of the sentinel master set (e.g. 'mymaster'). If using sentinel_master you may also specify load_from_slaves in which case a random slave will be chosen for performing reads in order to load balance across multiple Redis instances. Using the value '1' indicates to only load from slaves and '2' to include the master in the random read slave selection.
cronsun - A Distributed, Fault-Tolerant Cron-Style Job System.
cronsun is a distributed cron-style job system. It's similar with crontab on stand-alone *nix. The goal of this project is to make it much easier to manage jobs on lots of machines and provides high availability. cronsun is different from Azkaban, Chronos, Airflow.
crontab job-scheduler cron fault-toleranceqdb - A fast, high availability, fully Redis compatible store.
A fast, high availability, fully Redis compatible store.
redis cache key-value-database key-value-store persistence hashtable dictionaryDqlite - High-availability SQLite
Dqlite is a fast, embedded, persistent SQL database with Raft consensus that is perfect for fault-tolerant IoT and Edge devices. Dqlite (“distributed SQLite”) extends SQLite across a cluster of machines, with automatic failover and high-availability to keep your application running. It uses C-Raft, an optimised Raft implementation in C, to gain high-performance transactional consensus and fault tolerance while preserving SQlite’s outstanding efficiency and tiny footprint.
sqlite database embedded-database distributed-database embedded distributedscrapy-examples - Multifarious Scrapy examples
Multifarious scrapy examples with integrated proxies and agents, which make you comfy to write a spider. There are several depths in the spider, and the spider gets real data from depth2.
phxqueue - A high-availability, high-throughput and highly reliable distributed queue based on the Paxos algorithm
PhxQueue is a high-availability, high-throughput and highly reliable distributed queue based on the Paxos protocol. It guarantees At-Least-Once Delivery. It is widely used in WeChat for WeChat Pay, WeChat Media Platform, and many other important businesses.
Squzer - Distributed Web Crawler
Squzer is the Declum's open-source, extensible, scale, multithreaded and quality web crawler project entirely written in the Python language.
crawler distributed-systems downloader file search spiderPatroni - A template for PostgreSQL High Availability with ZooKeeper, etcd, or Consul
Patroni is a template for you to create your own customized, high-availability solution using Python and - for maximum accessibility - a distributed configuration store like ZooKeeper, etcd, Consul or Kubernetes. Database engineers, DBAs, DevOps engineers, and SREs who are looking to quickly deploy HA PostgreSQL in the datacenter-or anywhere else-will hopefully find it useful.
postgresql high-availability etcd zookeeper consul raft failover haproxy kubernetesDDMQ - DDMQ is a distributed messaging product with low latency, high throughput and high availability
DDMQ is a distributed messaging product built by DiDi Infrastructure Team based on Apache RocketMQ. As a distributed messaging middleware, DDMQ provides low latency, high throughput and high available messaging service to many important large-scale distributed systems inside DiDi. DDMQ provides realtime messaging, delay-time messaging and transactional messaging to satisfy different scenarios. Through an easy-to-use Web Console and simple SDK Client, developers can experience producing and consuming messages in the most simple and stable way.
We have large collection of open source products. Follow the tags from
Tag Cloud >>
Open source products are scattered around the web. Please provide information
about the open source projects you own / you use.
Add Projects.
