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This comparison also contains download managers that can be used as file sharing applications. For solely download managers, see the comparison of download managers; for BitTorrent-only clients, see the comparison of BitTorrent clients.
Returns a plain language comparison of a date or time to the present Template parameters [Edit template data] Parameter Description Type Status Date 1 The date or time being compared Date required Precision 2 The level of precision at which the comparison is being made; handles the suggested values listed. Suggested values hour day month year Unknown required See also {{ Is now }} {{ Age ...
This is a comparison of BitTorrent websites that includes most of the most popular sites. These sites typically contain multiple torrent files and an index of those files. Features
This comparison contains download managers, and also file sharing applications that can be used as download managers (using the http, https and ftp-protocol). For pure file sharing applications see the Comparison of file sharing applications .
Eclipse (compare) Ediff: ExamDiff Pro: No Yes Yes Yes Yes Far Manager (compare) Yes No Yes No Yes fc: No Optional FileMerge (aka opendiff) No No No Optional Guiffy SureMerge: filesystem dependent Yes Yes IntelliJ IDEA (compare) jEdit JDiff plugin: Lazarus Diff Meld: Notepad++ (compare) No No No Yes Perforce P4Merge — No No No Yes Pretty Diff ...
GPL-2.0-or-later: Yes Windows, OS X, Unix-like, Morph OS: Has a built-in tracker and announcement service MonoTorrent [2] C#: MIT: Yes Windows, Mac OS, Unix-like: Uses Mono or .NET Core for cross-platform support (.NET) Opentracker [3] C: Beerware: Yes Yes (IPv4 and IPv6 have separate binaries and processes that do not share any information ...
"A Short Preview of Free Statistical Software Packages for Teaching Statistics to Industrial Technology Majors" (PDF). Journal of Industrial Technology. 21 (2). Archived from the original (PDF) on October 25, 2005.
Displaying the differences between two or more sets of data, file comparison tools can make computing simpler, and more efficient by focusing on new data and ignoring what did not change. Generically known as a diff [ 1 ] after the Unix diff utility , there are a range of ways to compare data sources and display the results.