Cool P2P Software
From Phoenix Labs Wiki
P2P Software
BitTorrent
- Azureus - A full featured client. Supports plugins, but uses Java.
- BitComet - A well rounded client. Some consider it abusive to trackers as it announces very often.
- BitTorrent - The original client.
- µTorrent - A very efficient client. Uses low CPU and RAM, but lacks some of the features in the bigger clients. Highly recommended!
eDonkey
Other Software
- Ares
- DC++
- Rodi - An emerging application which promises to provide an experience similar to BitTorrent, but with builtin searching and better performance.
- Soulseek
- Shareaza
Anonymous P2P Software
Anonymous P2P typically involves darknets and/or onion routing combined with encryption. This software is anonymous but inherently much slower than normal networks due to the overhead caused by the routing and encryption. A better name for these networks may be pseudonymous. This is because others can see that you are participating in a network, but it is made near impossible for them to find out what is being transfered and if you are the original sender or the final destination. This provides plausible deniability. However, in many countries plausible deniability is not enough if it can be proven that the network is used solely for whatever you are accused of.
- ANts P2P - Quickly degrades in performance when given a large amount of users.
- Entropy - A Freenet alternative meant to use less system resources.
- Freenet - Very large network centered around HTTP, but also very slow and prone to frequent network resets due to inefficiencies in the scalability of its routing algorithms. Is home to many users wishing to publish questionable material which would be censored in their country.
- I2P - Similar idea to Tor, but with better scalability and more secure.
- MUTE - Similar to ANts P2P.
- OFF - the Owner-Free File system
- Tor - Surprisingly fast network which provides a SOCKS proxy to tunnel your applications through.
- WASTE - Create small darknets to chat and share files. Quickly degrades in performance when given a large amount of users.
