Free visual table of contents vtoc software for linux

Visual F-Prot is an F-Prot Antivirus for Linux Workstations graphical interface.

Visual F-Prot is graphical interface for F-Prot Antivirus(TM) for Linux Workstations for home use (available for free download) copyrighted by Frisk Software International (www.firsk.is). Before you install this program, you must install F-Prot Antivirus, because it wont work without it.

It works with F-Prot antivirus version 4.5.3 and above - its not tested with earlier versions,but it should also work with them.

Also, youll need "xterm" terminal emulator, provided by most, if not all linux distributions.

This program is built with GTKMM 2.4 C++ libraries, so youll also need those for it to work.

Visual REGEXP project can easily design and debug regular expressions by providing a graphical visualization of the expression and its matches on a sample of your choice.
Version restrictions:
- some regexp can consume a lot of CPU time. This seems to be caused by the use of -all, -inline and -indices flags together.
- when a subexpression is not matched (empty match), the last character of the previous match are coloured. This is due to a problem in Tcl (bug submitted to Scriptics).
Enhancements:
- new version done by Martin Lemburg. Many thanks, Martin.
- it is now a tcl 8.5a4 starpack
- GUI layout changed to be based on a paned window
- GUI code looks different, to be more ergonomic
- the informational labels (replacements & matches) are now sunken
- there are now additional the "first" and "last" navigation buttons
- there is a new option to navigate through matches or matches and submatches
- the displayed count of matches is changed to display the current and the count of matches used for navigation (probably changes, if the new navigation option is changed)
- the replace widget is disabled on startup
- the tcl console is added to the help menu
- the key bindings inside the regexp text widget changed a bit to allow for expanded regexp (-expanded or (?x)) to contain tabs and newlines. Tabs are created with Control-Tab and newlines with Control-Return. Additional with Control-C|V|X (not c|v|x) it is possible to use the clipboard like with Control|Shift-Insert, Shift-Delete.

Visual Turing Machine project is a program that lets you create Turing machines with a point and click interface instead of using esoteric languages.
You can pack your complex machines into small boxes, and then reuse them as part of a bigger machine. VTM also features an infinite length tape.
Enhancements:
- New features include an n-ary set of symbols, multiple windows (MDI), a huge workspace (10000x10000 pixels) without a memory issue, the ability to edit your own machines, the ability to execute machines n times (where n is undefined), the ability to use expressions (like n+5) to execute machines, the ability to execute machines at desired speeds, statistics to see how many instructions were executed and how much tape was "used", and an easy wasy to translate the program to other languages.

Visual difference metrics can predict whether differences between two images are visible to the human observer or not. Such metrics are used for testing either visibility of information (whether we can see important visual information) or visibility of noise (to make sure we do not see any distortions in images, e.g. due to lossy compression).

The image below shows how two input images, a reference image (upper left) and a distorted image (lower left), are processed with the VDP to produce a probability of detection map (right). Such probability of detection map tells how likely we will notice a difference between two images for each part of an image.

Red color denotes high probability, green - low probability. Red color is mostly present in the areas where there is a snow covered path. Because of smooth texture of the snow, there is not much visual masking and distortions are easily visible.

Although there are dozens of visible difference metrics that serve a similar purpose, our Visual Difference Predictor for HDR images (HDR-VDP) has two unique advantages: firstly, our metric works with a full range of luminance values that can be meet in a real word (HDR images), and secondly, we offer a complete source code for free.

High Dynamic Range Visible Difference Predictor (HDR-VDP) can work within the complete range of luminance the human eye can see. An input to our metric is a high dynamic range (HDR) image, or an ordinary 8-bits-per-color image, converted to the actual luminance values. The proposed metric takes into account the aspects of high contrast vision, like scattering of the light in the optics (OTF), nonlinear response to light for the full range of luminance, and local adaptation.

PostgreSQL Table Log contains functions that allow you to log PostgreSQL table inserts, updates, and deletes into another table.
This can be used to recover the state of the logged table or to recover specific rows from a given time period.
Enhancements:
- This version now works with PostgreSQL versions 8.2 and later.
- Some warnings have been removed and the documentation was cleaned up.
- PGXS is now used for building from source.
- RPM packages are available.

Content Dispatcher project will dispatch content over many plone sites in one click.

Let a content to be dispatch over many plone sites in one click.

Aqua Data Studio program is a database query tool and administration tool that allows developers to easily create, edit, and execute SQL scripts, as well as browse and visually modify database structures.
Aqua Data Studio provides an integrated database environment with a single consistent interface to all major relational databases. This allows the database administrator or developer to tackle multiple tasks simultaneously from one application.
Main features:
Query Analyzer/Window
- Aqua Data Studios sophisticated Query Analyzer allows users to work on database scripts with specific RDBMS syntax highlighting and auto-completion to develop and test SQL scripts. Other features to speed up development include SQL automation, auto-describe and sortable multi-grid results. The query analyzer also provides client side variable binding, allowing a user to execute stored procedures or functions with local variables binded to receive out parameters. The query window also provides two modes of operation, using a SplitPane View or a MultiTab View for the editor and the query results.
Schema Browser & Visual Editing
- Its graphical browsing capabilities allow you to understand the structure and dependencies of the database schema with a single mouse click. The schema browser also allows you to visually edit any schema object with a graphical design form to CREATE, ALTER or DROP the object. Visual editing supports Tables, Indexes, Procedures, Data Types and other schema objects. The visual editors also provides an SQL preview of all the commands to be executed to commit the operation.
Schema Extraction & DDL Scripting
- Its graphical browsing allows you to extract the structure definition of all schema objects and to script the SQL DDL and DML (eg CREATE, ALTER, DROP, SELECT, INSERT, UPDATE and DELETE) syntax for database schema objects (including Tables, Views, Triggers, Stored Procedures and Functions).
Table Data Editor
- A powerful Table Data Editor allows you to modify your results graphically and save them. By writing a single table SELECT statement in the Query Analyzer and clicking on the Execute Edit button, a separate window is opened with the query results for you to edit and save. You may also browser to a table in the schema browser and select the Edit Table from the popup menu to edit the first 1000 records in a table.
Enhancements:
- Enhancements in this release include OS X Integration, Windows integration, complete and customizable keymapping, a schema difference tool, a directory difference tool, a file difference tool, a tab difference tool, a copy history difference tool, SQL Server DBA tools, and Sybase DBA tools.
- In total, there were over 100 new features.

HTML::TableExtract is a Perl module that simplifies the extraction of information from tables within HTML documents.
Tables, no matter how nested or clustered, can be targeted symbolically with column headers or by more specific depth and count information.
Each table is labeled in the first row with coordinates in terms of depth and count, which both start at 0. Some of the tables have headers in the second row; although in this example these header cells are in fact < th > tags, header cells can be either < th > or < td >. The remaining cells in the table indicate row and column information from that cell, along with the table coordinates: depth,count:row,column. Rows and columns begin at 0 as well, so the table label and headers, if present, will affect these cell coordinates.
In the illustrations of what is extracted from these tables, content in italics is notational in nature; it was not actually extracted from the tables. In particular, whenever headers are used for extraction, the order in which the headers were provided is noted by listing the headers, but the header row is not actually extracted from the target table.
Enhancements:
- A subtable slicing bug and an hrow() attachment bug were fixed.
- Tests were added.