Pros of proxy_pool

• More active development with recent updates
• Supports multiple database backends (Redis, MongoDB)
• Includes a RESTful API for easy integration

Cons of proxy_pool

• Less detailed documentation compared to IPProxyTool
• Primarily focused on Chinese proxy sources

Code Comparison

IPProxyTool:

class Validator(object):
    def __init__(self, proxies):
        self.proxies = proxies
        self.timeout = 10
        self.threads = 20

proxy_pool:

class ProxyCheck(object):
    def __init__(self):
        self.raw_proxy_queue = Queue()
        self.thread_list = list()
        self.useful_proxy_queue = Queue()

Both projects use object-oriented programming for their core functionality. IPProxyTool's Validator class focuses on validating proxies, while proxy_pool's ProxyCheck class manages proxy queues and threading.

proxy_pool offers more flexibility with database options and includes an API, making it easier to integrate into existing projects. However, IPProxyTool provides more detailed documentation, which can be beneficial for users new to proxy management.

The choice between these tools depends on specific requirements, such as the need for an API, database preferences, and the importance of documentation quality.

Pros of proxy-list

• Regularly updated proxy lists in multiple formats (TXT, JSON)
• Simple and straightforward to use, with no additional setup required
• Supports various proxy protocols (HTTP, HTTPS, SOCKS4, SOCKS5)

Cons of proxy-list

• Lacks proxy validation or testing functionality
• No built-in tools for proxy scraping or management
• Limited customization options for users

Code comparison

proxy-list:

# No specific code to show, as it's primarily a collection of proxy lists

IPProxyTool:

from config import *
from sql.sql import SqlManager
from ipproxy import IPProxy

ipproxy = IPProxy()
ipproxy.run()

Summary

proxy-list is a straightforward repository that provides regularly updated proxy lists in various formats, making it easy for users to access and use proxies without additional setup. However, it lacks advanced features like proxy validation or management tools.

IPProxyTool, on the other hand, offers a more comprehensive solution for proxy management, including scraping, validation, and database storage. It requires more setup but provides greater flexibility and control over the proxy collection and validation process.

Choose proxy-list for quick access to proxy lists or IPProxyTool for a more robust proxy management solution.

Pros of PROXY-List

• Larger collection of proxy servers, updated more frequently
• Simpler to use, with ready-to-use proxy lists in various formats
• Active community and regular contributions

Cons of PROXY-List

• Less sophisticated proxy validation and testing
• Lacks advanced features like proxy rotation or API integration
• No built-in proxy scraping functionality

Code Comparison

PROXY-List typically provides proxy lists in plain text or JSON format:

123.45.67.89:8080
98.76.54.32:3128

IPProxyTool offers more structured output and functionality:

class Proxy(object):
    def __init__(self):
        self.ip = ''
        self.port = ''
        self.country = ''
        self.anonymity = ''
        self.https = ''
        self.speed = ''
        self.source = ''

PROXY-List is more suitable for users who need quick access to a large number of proxies without extensive validation or management features. IPProxyTool is better for those requiring more control over proxy selection, testing, and integration into larger projects.

Pros of ipsum

• Regularly updated with a large list of malicious IP addresses
• Lightweight and easy to integrate into existing security systems
• Provides multiple formats for IP lists (plain text, CSV, JSON)

Cons of ipsum

• Focused solely on malicious IP addresses, not proxy servers
• Lacks features for testing or verifying IP addresses
• No built-in proxy management or rotation capabilities

Code comparison

IPProxyTool:

def start(self):
    for p in self.proxy_getter_functions:
        p.start()
    for p in self.proxy_getter_functions:
        p.join()

ipsum:

def update(self):
    for name in self.SOURCES:
        worker = threading.Thread(target=self._retrieve_worker, args=(name,))
        worker.start()
        self._threads.append(worker)

Both projects use threading to retrieve data from multiple sources concurrently. IPProxyTool focuses on gathering and managing proxy servers, while ipsum collects malicious IP addresses from various sources.

IPProxyTool offers more comprehensive proxy management features, including testing and verification. ipsum, on the other hand, provides a simpler solution for maintaining a list of malicious IP addresses, which can be useful for security applications and firewalls.

The choice between these tools depends on the specific use case: IPProxyTool for proxy management and ipsum for maintaining a blocklist of malicious IPs.