Free recovers data from damaged software for linux

Secure Data Manager project is a manager for passwords and other private data.
Secure Data Manager (SDM) is a full-featured password manager application written entirely in Java (so it can run on Unix or Windows). It encrypts logins and other private information for Web sites, computers, credit cards, etc.
Main features:
- Many great features and more coming each month based on user feedback!
- No limit to how you use the product or how often!
- Trusted since you and everyone else can see the code that protects your passwords -- keeping the application clear of any trojans or bad business practices.
- Open source -- so if you know how to write code, you can add any feature you want!
- Free.

Common Data Format is a self-describing data abstraction for the storage and manipulation of multidimensional data in a platform- and discipline-independent fashion.
It consists of a scientific data management package (known as the "CDF Library") that allows programmers and application developers to manage and manipulate scalar, vector, and multi-dimensional data arrays.
Enhancements:
- Adds new sets of APIs to allow Standard Interface to interact with zVariables and other CDF-related information.
- Adds MingW and FreeBSD ports.
- Adds support for Intel C++ and Fortran for Linux.
- Adds the ability to create legacy CDF 2.7 files.
- Fixes a bug that prevented directories from having .cdf or .skt extensions.

The gzip Recovery Toolkit attempts to automate the recovery of data from corrupted gzip files (including tarballs) through a program called gzrecover. gzip Recovery Toolkit package is still very experimental at this point.
99% of "corrupted" gzip archives are caused by transferring the file via FTP in ASCII mode instead of binary mode. Please re-transfer the file in the correct mode first before attempting to recover from a file you believe is corrupted.
This program is provided AS IS with absolutely NO WARRANTY. It is not guaranteed to recover anything from your file, nor is what it does recover guaranteed to be good data. The bigger your file, the more likely that something will be extracted from it. Also keep in mind that this program gets faked out and is likely to "recover" some bad data. Everything should be manually verified.
Usage:
Run gzrecover on a corrupted .gz file. Anything that can be read from the file will be written to a file with the same name, but with a .recovered appended (any .gz is stripped). You can override this with the -o option.
To get a verbose readout of exactly where gzrecover is finding bad bytes, use the -v option to enable verbose mode. This will probably overflow your screen with text so best to redirect output to a file.
Once gzrecover has finished, you will need to manually verify any data recovered as it is quite likely that our output file is corrupt and has some garbage data in it. If your archive is a tarball, read on.
For tarballs, the tar program will choke because GNU tar cannot handle errors in the file format. Fortunately, GNU cpio (tested at version 2.5 or higher) handles corrupted files out of the box.
Heres an example:
$ ls *.gz
my-corrupted-backup.tar.gz
$ gzrecover my-corrupted-backup.tar.gz
$ ls *.recovered
my-corrupted-backup.tar.recovered
$ cpio -F my-corrupted-backup.tar.recovered -i -v
If you have a previous release, please note that the patches to GNU tar have been discontinued. They were only marginally successful at best and GNU cpio does what is needed out of the box and does it far better.
Enhancements:
- Documentation updates, including a man page, plus code cleanup to better enable inclusion in GNU/Linux packages and eliminate compilation warnings.

desktop-data-manager includes a clipboard history for many different types of content (text, images, ...) and an application to take screenshots from a single window/subwindow, rectangle of the screen or the whole desktop.

The two applications are designed to work well together. For more details please visit my homepage.

Notes: If you find some bugs/problems with the application please contact me at einki(at)users.sourceforge.net. The Program is programmed to work in a GTK/GNOME environment but at least the basic functionalities will work in KDE too.

Fast Data Transfer is an application for efficient data transfers that is capable of reading and writing at disk speed over wide area networks (with standard TCP).
It can be used to stream a large set of files across the network, so a large dataset composed of thousands of files can be sent or received at full speed, without the network transfer restarting between files.
The project is written in Java, runs an all major platforms, and is easy to use.
Main features:
- Streams a dataset (list of files) continuously, using a managed pool of buffers through one or more TCP sockets.
- Uses independent threads to read and write on each physical device
- Transfers data in parallel on multiple TCP streams, when necessary
- Uses appropriate-sized buffers for disk I/O and for the network
- Restores the files from buffers asynchronously
- Resumes a file transfer session without loss, when needed

Xephyrus Data Structures Tag Library provides an easy way to create and manipulate the contents of common Java data-structures such as maps and lists.
Enhancements:
- The library was polished up.
- Several improvements were made and a few bugs were fixed.
- This version is aimed at Java 5 and JSP 2.0.

Data.FormValidators aim is to bring all the benefits of the perl module Data::FormValidator over to javascript, using the same input profiles (they can be dumped into javascript objects using the perl module Data::JavaScript.
Data.FormValidator library lets you define profiles which declare the required and optional fields and any constraints they might have.
The results are provided as an object which makes it easy to handle missing and invalid results, return error messages about which constraints failed, or process the resulting valid data.
IMPORTANT NOTE: JavaScript form validation is NOT a replacement for data validation in your backend scripts. This is the primary reason this module was written... so that it would be easy to share the same validation profile for both the frontend (via Data.FormValidator.js) and backend (via Data::FormValidator.pm).
Enhancements:
- A problem where some functions were not terminated by a semi-colon, so JavaScript compactors would end up creating broken code was fixed.

Erwin Data Structures is a library that is meant to be the ultimate data structure library for mixed usage of C and C++.

Arbitrary key and value types are implemented by template files that dont use C++ templates, but are instantiated by a Perl script.

This way, mixed usage in C and C++ is possible. However, a C++ interface is generated to support the advantages of the C++ language. No templates, no void*.
Erwin contains a number of tools, too, all of them written in Perl. The following list shows the data structures and tools, together with some typical examples.