Free sonic fan games software for linux

BlackNova Traders project is a PHP/MySQL Web-based multi-player strategy game.

BlackNova Traders is a strategy game, loosely based on the old BBS games of Tradewars, Galactic Warzone, and Ultimate Universe, but multiplayer and Web-based. It involves space trading, conflict, and diplomacy.

Two things happend as the game grew in popularity:

-Ron was kindly asked by said hosting service to find other hosting. (at the time the game was serving over 4 million pages a month)

-The fans of the game were begging Ron to release the game as an open source project. (as feature requests and bug fixes were very slow in coming with only Ron working on the code)

So new hosting was found and the game was released as an open source project (originally under the artistic license and later under the GPL).

Tile World is an emulation of the game "Chips Challenge". "Chips Challenge" was originally written for the Atari Lynx by Chuck Sommerville, and was later ported to MS Windows by Microsoft (among other ports).

Please note: Tile World is an emulation of the game engine(s) only. It does not come with the chips.dat file that contains the original level set. This file is copyrighted and cannot be freely distributed. The chips.dat file was originally part of the MS version of "Chips Challenge". If you have a copy of this version of the game, you can use that file to play the game in Tile World. If you do not have a copy of this file, however, you can still play Tile World with the many freely available level sets created by fans of the original game, including CCLP2.

"Chips Challenge" is a game made up of both intellectually engaging puzzles and situations demanding fast reflexes. As you might have guessed, it is a tile-based game. The object of each level is simply to get out -- i.e., to find and achieve the exit tile. This simple task, however, can sometimes be extremely challenging.

Gee Whiz project is a role playing game similar to Wizardry(tm).

GWiz is a game in the same style of Wizardry(tm). Wizardry is a role playing game by Sir-Tech Ltd. that takes place in a two dimensional maze rendered from a first person perspective.

I wanted to help fill out the current stock of games freely available to Linux users, and having been a longtime fan of these types of games, I thought it would be a great and rewarding challenge to try and copy the feel that these games presented.

I began work in February 2002 (though I do not remember the exact date, it was probably around the 20th). I did not flowchart the project at the time, because I already knew what the end product was going to be like. Retrospectively, this was a mistake.

As early as March 9, I was feeling a little burned out, and I was going to shelf the project. That was my plan, until my LUGMaster advised me to just release what I have, which (predictably) showed a little public interest in my work. This in turn, prompted me to continue development.

At the time of its release, it was called "Generic Wizardry Clone" (GWC) but was later renamed to GWiz, a (not very clever) pun on the pronunciation of "Gee Whiz."
Eventually, I did scrap the project as it was; I could not hunt down a critical showstopping bug. Considering how badly written it was (my first real-world application programming experience) I decided to rewrite it.

Sonic Visualiser is an application for viewing and analysing the contents of music audio files.
The aim of Sonic Visualiser is to be the program you reach for when you find a musical recording you want to study rather than simply hear.
As well as a number of features designed to make exploring audio data as revealing and fun as possible, Sonic Visualiser also has powerful annotation capabilities to help you to describe what you find, and the ability to run automated annotation and analysis plugins in the new Vamp analysis plugin format.
We hope Sonic Visualiser will be of particular interest to musicologists, archivists, signal-processing researchers and anyone else looking for a friendly way to take a look at what lies inside the audio file.
Main features:
- Load audio files in WAV, Ogg and MP3 formats, and view their waveforms.
- Look at audio visualisations such as spectrogram views, with interactive adjustment of display parameters.
- Annotate audio data by adding labelled time points and defining segments, point values and curves.
- Overlay annotations on top of one another with aligned scales, and overlay annotations on top of waveform or spectrogram views.
- View the same data at multiple time resolutions simultaneously (for close-up and overview).
- Run feature-extraction plugins to calculate annotations automatically, using algorithms such as beat trackers, pitch detectors and so on.
- Import annotation layers from various text file formats.
- Import note data from MIDI files, view it alongside other frequency scales, and play it with the original audio.
- Play back the audio plus synthesised annotations, taking care to synchronise playback with display.
- Select areas of interest, optionally snapping to nearby feature locations, and audition individual and comparative selections in seamless loops.
- Time-stretch playback, slowing it down to as little as 10% of the original speed while retaining a synchronised display.
- Export audio regions and annotation layers to external files.
The design goals for Sonic Visualiser are:
- To provide the best available core waveform and spectrogram audio visualisations for use with substantial files of music audio data.
- To facilitate ready comparisons between different kinds of data, for example by making it easy to overlay one set of data on another, or display the same data in more than one way at the same time.
- To be straightforward. The user interface should be simpler to learn and to explain than the internal data structures. In this respect, Sonic Visualiser aims to resemble a consumer audio application.
- To be responsive, slick, and enjoyable. Even if you have to wait for your results to be calculated, you should be able to do something else with the audio data while you wait. Sonic Visualiser is pervasively multithreaded, loves multiprocessor and multicore systems, and can make good use of fast processors with plenty of memory.
- To handle large data sets. The work Sonic Visualiser does is intrinsically processor-hungry and (often) memory-hungry, but the aim is to allow you to work with long audio files on machines with modest CPU and memory where reasonable. (Disk space is another matter. Sonic Visualiser eats that.)