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A Windows GUI program that helps to set various parameters of hashcat.
The following programs are not included, and should be provided by user.
- hashcat (v6.1.1 was used and tested for this project)
- CAP, HCCAPX file converter.
Free as it is, I have no obligation to update, upgrade or debug it on demand.
This project is a set of usefull classes to manage data from de database to the user interface. Based on a dictionary who match the DB table, the panel will be created.
...This module contains a `FontChooser` class which implements the font
chooser and an `askfont` function that displays the font chooser and
returns the chosen font when the user closes the font chooser. The font
is returned as a dictionary like the one returned by the function
`tkFont.Font.actual`.
itchat is an open-source WeChat personal account interface, it has never been easier to use python to call WeChat. With less than thirty lines of code, you can have a WeChat bot that handles all the information. Of course, the use of this api is far more than a robot, and more functions are waiting for you to discover. This interface shares a similar operation method with the public account interface itchatmp , learning to master two tools at a time. Now WeChat has become a large part of...
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Instant CRUD web front-end, featuring auto-discovery of the data dictionary for an RDBMS source.
Provides a basic CRUD web interface in minutes without coding and allows a great deal of flexibility for enhancements.
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AAX Desktop is a suite of desktop applications, utilities, and libraries. It forms a nearly complete desktop environment, including a terminal, clock, calculator, address book, dictionary, lossless image library, etc...
A spelling checker for 32-bit Windows apps, based loosely on GNU ASpell; packaged as a DLL. Suggestions for misspelled words are based on both character substitutions/additions/deletions and phonetic similarity to (~180,000 English) words in dictionary.
An experimental set of tools for text analysis and dictionary construction. One goal is to improve text-input e.g. on devices with touchscreens using dictionary-based symbolic on-screen keyboards.
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