Pros of proxy_pool

• Simpler setup and usage, with fewer dependencies
• Supports multiple database backends (Redis, MongoDB, MySQL)
• Includes a web API for easy integration with other projects

Cons of proxy_pool

• Less sophisticated proxy validation and scoring system
• Fewer customization options for proxy sources and validation methods
• Limited documentation and examples compared to haipproxy

Code Comparison

proxy_pool:

class ProxyCheck(object):
    def __init__(self):
        self.selfip = self.getMyIP()
        self.detect_pool = []
        self.thread_num = 20
        self.detect_queue = Queue()
        self.timeout = 5

haipproxy:

class ProxyValidator:
    def __init__(self, task):
        self.task = task
        self.redis_args = get_redis_args()
        self.pool = get_redis_conn(**self.redis_args)
        self.timeout = 10

Both projects use similar approaches for proxy validation, but haipproxy offers more advanced features and customization options. proxy_pool is easier to set up and use, while haipproxy provides more robust proxy management capabilities. The choice between the two depends on the specific requirements of your project and the level of control you need over the proxy pool.

Pros of proxy-list

• Simple and straightforward list of proxies
• Regularly updated with new proxy addresses
• Easy to integrate into existing projects

Cons of proxy-list

• Limited functionality compared to haipproxy
• Lacks advanced features like proxy validation and scoring
• No built-in proxy rotation or management system

Code Comparison

proxy-list:

socks5://1.2.3.4:1080
http://5.6.7.8:8080
https://9.10.11.12:3128

haipproxy:

from haipproxy.client.py_cli import ProxyFetcher

args = dict(host='127.0.0.1', port=6379, password='123456')
fetcher = ProxyFetcher('zhihu', strategy='greedy', redis_args=args)
print(fetcher.get_proxy())

The proxy-list repository provides a simple list of proxy addresses, while haipproxy offers a more comprehensive solution with a Python client for fetching and managing proxies.

haipproxy includes features like proxy validation, scoring, and automatic rotation, making it more suitable for complex scraping projects. However, proxy-list's simplicity can be advantageous for quick integration or when only a basic list of proxies is needed.

proxy-list is easier to use out of the box, but haipproxy provides more control and flexibility for managing proxy pools in larger-scale applications.

Pros of PROXY-List

• Simple and straightforward list of proxy servers
• Regularly updated with new proxies
• Easy to integrate into existing projects

Cons of PROXY-List

• Lacks advanced features like proxy validation or scoring
• No built-in proxy rotation or management functionality
• Limited documentation and usage examples

Code Comparison

PROXY-List:

# Example of reading proxies from PROXY-List
with open('proxy.txt', 'r') as f:
    proxies = f.readlines()

haipproxy:

# Example of using haipproxy
from client.py_cli import ProxyFetcher
args = dict(host='127.0.0.1', port=6379, password='123456')
fetcher = ProxyFetcher('zhihu', strategy='greedy', redis_args=args)
print(fetcher.get_proxy())

haipproxy offers a more comprehensive solution for proxy management, including features like proxy validation, scoring, and automatic rotation. It provides a Redis-based backend for storing and retrieving proxies, making it suitable for larger-scale applications.

PROXY-List, on the other hand, is a simpler option that provides a regularly updated list of proxy servers. It's easier to integrate into existing projects but lacks advanced features and management capabilities.

The choice between the two depends on the specific requirements of your project. If you need a simple list of proxies, PROXY-List might suffice. For more complex proxy management needs, haipproxy offers a more robust solution.

Pros of ipsum

• Simpler setup and usage, focused solely on IP blocklists
• Regularly updated with new malicious IPs
• Lightweight and easy to integrate into existing security systems

Cons of ipsum

• Limited functionality compared to haipproxy's proxy harvesting capabilities
• Less customizable for specific use cases
• Lacks advanced features like proxy validation and scoring

Code comparison

ipsum:

wget https://raw.githubusercontent.com/stamparm/ipsum/master/ipsum.txt -O /tmp/ipsum.txt
iptables -I INPUT -m set --match-set ipsum src -j DROP
ipset create ipsum hash:net
for ip in $(cat /tmp/ipsum.txt); do ipset add ipsum $ip; done

haipproxy:

from client.py_cli import ProxyFetcher
args = dict(host='127.0.0.1', port=6379, password='123456')
fetcher = ProxyFetcher('zhihu', strategy='greedy', redis_args=args)
print(fetcher.get_proxy())

Summary

ipsum is a straightforward IP blocklist tool, while haipproxy is a more comprehensive proxy harvesting and management system. ipsum is easier to set up and use for basic IP blocking, but haipproxy offers more advanced features for proxy handling and validation. The choice between them depends on the specific requirements of your project and the level of complexity you're willing to manage.