Free storage software for linux

Getd is a Linux Gtk2 app for usb storage disk easy managing.

It will automatically mount to proper place and perform requested operations - e.i. executing a command script like synch file between disk and hdd or dump pictures from a camera - by its own. ... and it support crypted disk.

Getd rely on kernel and regular external app. It doesnt play at all with device or hardware....

POLE is a portable C++ library to access structured storage. It is designed to be compatible with Microsoft structured storage, also sometimes known as OLE Compound Document.

A structured storage is normally used to store files inside another file; you can even have complex directory tree inside. It can be treated as a filesystem inside a file.

The most popular use of structured storage is in Microsoft Office. Structured storage does not offer compression nor encryption support, hence usually it is used only for interoperability purposes.

Compared to structured storage routines offered by Microsoft Windows API, POLE has the advantage that it is portable. You can access any structured storage in the supported platform, you dont need to rely on Windows library.

Using

To compile POLE, you need a C++ compiler, with standard C++ library which supports STL (Standard Template Library).

POLE is just a library, you have to integrate it as part of your application/project. Since it consists of one source file and one header file, it does not make much sense to compile POLE as separate library (either static or dynamic). Simply add these files to your project and you are done.

The source tarball of POLE demonstrates the use of POLE to build poledump, a small utility to extract any stream inside a structured storage. If you use g++ as the compiler, you can compile poledump using the following command:

g++ -o poledump pole.cpp poledump.cpp

You may use poledump like the example below:

poledump budget.xls Workbook result.xls

The above command will extract a stream named Workbook inside Excel document (budget.xls) and save it as result.xls. File result.xls will still be recognized as a valid workbook (in raw format). Launch Microsoft Excel, open this file, and convince yourself.

Since version 0.2, the source tarball also includes a graphical tool named POLEView. Its purpose is to show the content of a structured storage in a tree view. It is also possible to view each stream in hexadecimal format and/or export the stream as well. You can study its source code to get familiar on how to use POLE API.

To compile POLEView, you need Qt (from Trolltech) version 3.x. Most Linux distributions normally already package the latest version of Qt, so it is likely that you need to worry about this. The Windows version is still planned, awaiting for the release of Qt version 4.

The build command for poleview is:

qmake && make

Apache::Storage is Perl module containing simple functions to store and retrieve information from within the Apache process.

Ozibug is a platform-independent, web-based bug tracking system which can be installed and run straight out of the box on any Java servlet capable platform.
Main features:
- audit trails
- file attachments
- multiple module support
- email notifications
- custom reports and RSS feeds
- system statistics
- xml data storage
- fine grained access control
- customizable appearance, email notifications and reference data
- full internationalization
- database storage
- pluggable authentication
Version restrictions:
- 14 day Community license
Enhancements:
- This is a maintenance release that includes several bugfixes for the database repository.
- It is recommended that all users of the database repository upgrade to this release.

LFMats goal is to furnish convenient matrix tools for the finite element methods. Actually, theres a lot of libraries for linear algebra on the net, but it seems that its still hard to find flexible and high performance free software for the required procedures (genericity, speed, adaptated storage, ...).
LFMat is a generic purpose, fully templated open source C++ matrix library. Particular attention has been furnished to get convenient storage for SIMD instructions like 3Dnow! and SSE2 on x86 processors and Altivec on PowerPC ones. It means that theres specializations for severals important types like float or double in order to get the deserving performances.
Furthermore, important routines make careful use of cache, leading -- as example -- to solvers up to 8 times faster than standard lapack ones in the same situation (see benchmarks).
Matrices can contain any kind of data (double, float, symbolic expressions, ...) and user can choose orientation, storage style and structure (see tutorial). Furthermore, matrices can be of fixed size (known at compilation time), allowing compilers to make additional optimizations.
Main features:
For now, storage styles can be:
- dense (n*m elements for a rectangular matrix, n*(n+1)/2 for a square symmetric matrix),
- dense uncompressed (n*n for a symmetric matrix),
- sky line (user gives the beginning and/or the end of each lines),
- sparse, row or column compressed,
- band.
Structures can be:
- generic (no particular properties),
- diagonal.
- symmetric,
- antisymmetric,
- hermitian,
- triangular, upper or lower,
- The number of reserved elements depends on both storage and structure.
Furthermore, matrices can be:
- row oriented,
- column oriented,
- diagonal oriented (still in progress).
- Some useful procedures have been coded for different kind of matrices:
- solvers (cholesky, ... see Table 1.2 ),
- operators (*, ... see Table 1.3),
- eigen values finders.
- converter between different kind of matrices
All these procedures have been designed to be fast, using cache and SIMD instruction where possible.

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.

Cleversafe is a storage software solution that offers extremely high reliability and security. It uses fast information dispersal algorithms to store small slices of data in multiple, disparate locations.

Each slice is individually unusable, yet any majority of the slices can perfectly recreate all of the original data. A large dispersed storage grid with 11 or more storage locations can remain fully operational even if up to any 5 of the storage nodes are not operational.