Free disk space software for linux

Filesys::DiskSpace is a Perl module as a df replacement.

SYNOPSIS

use Filesys::DiskSpace;
($fs_type, $fs_desc, $used, $avail, $fused, $favail) = df $dir;

This routine displays information on a file system such as its type, the amount of disk space occupied, the total disk space and the number of inodes. It tries syscall(SYS_statfs) and syscall(SYS_statvfs) in several ways. If all fails, it croaks.

OPTIONS

$fs_type

[number] type of the filesystem.

$fs_desc

[string] description of this fs.

$used

[number] size used (in Kb).

$avail

[number] size available (in Kb).

$ffree

[number] free inodes.

$fused

[number] inodes used.

Disk Manager project is a simple filesystem configurator that allow you to:
- Automaticly detect new partitions at startup.
- Fully manage configuration of filesystem.
- Enable/disable write support for NTFS (need ntfs-3g installed).

DSPAM is a server-side statistical anti-spam agent for Unix email servers.
DSPAM masquerades as the email servers local delivery agent and effectively filters spam using a combination of de-obfuscation techniques, specialized algorithms, and statistical analysis.
The result is an administratively maintenance-free, self-learning anti-spam tool. DSPAM has yielded real-world success rates beyond 99.9% accuracy with less than a 0.01% chance of false positives.
The DSPAM project attempts to set itself apart from other filters by focusing on the following areas:
- DSPAM has a strong drive for research. Many new algorithms and approaches to fighting spam have come out of the DSPAM project. Some of the approaches deployed in DSPAM include Concept Identification, Neural Networking, Message Inoculation , advanced de-obfuscation techniques, and a new noise reduction algorithm called Bayesian Noise Reduction. Were always looking for new approaches to improving the accuracy of DSPAM.
- A strong focus on large-scale implementation support. The largest implementation of DSPAM weve heard about to-date involves 350,000 users, with the next largest being around 125,000, then 100,000. DSPAM has been designed to run with a very short execution time (between 0.01s - 0.03s real time for classification and between 0.03s - 0.10s real time for training, on average hardware), and has been equipped with a storage driver API allowing several different storage mechanisms to be used. Depending on disk space constraints, accuracy can be traded off for additional disk space or vice-versa.
- Usability. DSPAM was designed with "grandma" in mind. Users can retrain by either forwarding any spam they receive to a spam address, or (in v3.4.2+) use the history function of the included web interface to quickly mark spam and deliver false positives. End-users dont need to know any commandline utilities or other complexities plaguing some other such tools. Functions such as whitelisting and keyword inventory are automatic (based on statistical functions) and therefore require no user intervention.
Main features:
- System-wide administratively-maintenance free filtering. The DSPAM agent can integrate into just about any network and can even be implemented as an SMTP gateway.
- A simple-to-use learning mechanism. DSPAM allows users to simply forward their spam to their "spam email address" for learning, eliminating any learning curve necessary to make it usable by your customers. The information used in every calculation is temporarily stored on the server, enabling DSPAM to relearn the original message by looking for a small signature in the forwarded spam. As a result, users dont have to be trained to bounce messages around, and administrators dont have to worry about incompatible mail clients.
- Support for a variety of storage implementations. DSPAMs storage driver API allows the administrator to choose how they wish to store data. Currently supported drivers include SQLite, Berkeley DB3, Berkeley DB4, MySQL, PostgreSQL and Oracle.
- Written in C for speed, performance, and scalability. Unlike Python or PERL solutions DSPAM is written in a low-level compiled language, meaning there is very little overhead. DSPAM runs fast, efficient, and doesnt depend on any third-party language interpreters.
- MTA support. DSPAM works great with Sendmail, Postfix, Qmail, Courier, and Exim, and should work well with many other MTAs. In the event you happen to run something like Exchange, DSPAM can be implemented on your network as an SMTP gateway. Just point your MX at it and configure it to relay to your mail server.
Enhancements:
- This is an unofficial release, but significant.
- Several significant bugfixes have been made.
- Bill Yerazunis Orthogonal Sparse Bigram (OSB) tokenizer algorithm has been added.
- The code has been significantly optimized to run much faster and with fewer resources.

Space Racer project is a OpenGL Car Game in a galactic environment.

It aims to be a clone of the well known Stunt Car Racer developed by Geff Crammond, author of Grand Prix I and II.

To play a 3dfx is recommanded. But TNT and Matrox Cards should now work.

If you have a 3dfx, you can take advantage of OpenGL 1.1 in adding this line in config.h:

#define SP_OPENGL_1_1

ZipSlack is a special edition of Slackware Linux that can be installed onto any FAT (or FAT32) filesystem with about 100 MB of free space. It uses the UMSDOS filesystem and contains most of the programs you will need.

This means that you do not need to repartition your hard disk if you already have DOS or Windows installed. ZipSlack installs into a directory on your DOS filesystem. It can also be installed to and booted from a Zip disk.

This distribution is ideal for people who dont have a lot of hard disk space, do not have a fast Internet connection to download the entire distribution, or who want a Linux distribution they can carry around on a Zip disk.

mod_dirsize is an Apache module to calculate the disk space used for any virtual host on a server.

The results are displayed in KB using XML.

adesklets is an interactive Imlib2 console for the X Window system. adesklets project provides to scripted languages a clean and simple way to write great looking, mildly interactive desktop integrated graphic applets (aka "desklets").
Since this is adesklets, others still have plenty of space to start similar projets, from bdesklets to z, excluding g, which is already taken.
Seriously though, all those packages are nice. Nevertheless, the first two have very heavy requirements in terms of library dependencies; basically, gDesklets requires a complete GNOME desktop to be installed (plus specialized libraries such as gnome-python, while SuperKaramba needs almost all of the KDE libraries and base environment.
This reflects on performance for the task at hand1. On the other hand, while GKrellM is significantly lighter (it still depends on GTK+ though), it does not deliver the same experience in terms of ?eye-candiness? (to the authors taste, of course) or ?scriptability? than the other two.
Thus, adesklets was born. It provides:
- a minimal framework for X Window desklets seamlessly integrated into the desktop, with an easy to use central management for starting, positioning and stopping them.
- a generic, rich and easy to use drawing API similar to gDesklets and SuperKaramba regarding its high visual quality, thanks to the Imlib2 library.
- very limited library dependencies: uses the very good (and lightning fast) Imlib2 library for all graphic-related operations. No window toolkit used whatsoever; the program relies directly on xlib.
- a light, robust and small interpreter potentially usable with all sorts of scripting languages thanks to a clean, limited and homogenous syntax. As on version 0.4.2, support for Python is provided out of the box. Future support for Perl and Ruby is planned. Feel free to contribute support for your favorite language!
- Minimal disk space, memory footprint and CPU usage. Typically, on glibc 2.3.4 Linux 2.6 x86, a unique executable is less than 130 KB on disk, takes less than 3 MB of virtual memory per desklet right after initialization, and almost no processor cycles (including cycles from a Python interpreted script) when idle.
Enhancements:
- This is a bugfix release.
- It compiles without warnings on all gcc 4.x releases while retaining compatibility with all previous versions of the compiler.
- A new test/timing.py framework was added to help diagnose potential timing issues.