dekagen is a front-end to several tools for the ripping, converting, and
naming of MP3 and Ogg-Vorbis files. It automates the whole process of ripping
data from music compact discs (CD), the naming of the files, their converting
into MP3 or Ogg-Vorbis format and the labelling of the MP3 files with an ID3
tag. dekagen uses dialog for a user interface that is intended to be
"intuitive".
Music data is read from CDs using cdda2wav, cdparanoia, dagrab, or tosha, and
stored on your hard disk in wav-format. Note that this will have an excessive
need of disk space. After this, the wav-data is converted into MP3 format
using 8hz-mp3, bladeenc, l3enc, lame, mp3enc, or notlame, or into Ogg-Vorbis
format using oggenc. This will take a while. To avoid manual naming and
tagging for all the files, cda is used for CDDB lookups. To label the MP3
files with ID3 tags, id3ed, id3tag, id3tool, or mp3info, or the built-in
capabilities of some encoders (lame, notlame) are used. Ogg-Vorbis files can
be labelled with oggenc.
The Flake encoder project was started as a way for the author to learn more
about lossless audio encoding. The author chose the FLAC format because it is
open and well-documented. Although the FLAC reference encoder is also free and
open-source, the author's goal was to implement the standard from scratch as an
independent project. Flake is licensed under the GNU LGPL.
Once Flake progressed to a usable state, the author submitted the encoder to be
included as part of FFmpeg. It was included and improved upon by other FFmpeg
developers. Since then, Ithe author has added more features to Flake and
improved the encoding speed. The author plan to add some of these features into
FFmpeg as the encoder progresses.
There are both benefits and drawbacks to using Flake as a FLAC encoder
alternative. In its current state, Flake gives, on average, slightly better
compression than the FLAC reference encoder and is about twice as fast.
However, it does not currently implement all the advanced features such as
tagging, cuesheets, 24-bit audio, embedded pictures, and ogg encapsulation.
The author hopes to add these to Flake in future releases.
This plugin for Squeezebox Server makes it possible to create smart
playlists. Although the standard Squeezebox Server doesn't support
smart playlists by itself, together with iTunes and the standard
Squeezebox Server iTunes integration, it is possible to use smart
playlists defined in iTunes. The problem though is that the integrated
iTunes smart playlists will not be recalculated until the next time
you perform a rescan in Squeezebox Server. The SQL Playlist plugin
takes care of this problem and implements native smart playlist in
Squeezebox Server without any need to use iTunes. The smart playlists
implemented in SQL Playlist will also be automatically re-calculated
after each track played so they will be based on the latest statistic
information.
A smart playlist in SQL Playlist are continous and will run forever in
the same way as the standard Random Mix plugin, you can optionally
also choose that a smart playlist shouldn't repeat already played
tracks and in that case the music will stop when all songs matching
the playlist has been played.
Kyoto Tycoon is a lightweight database server with auto expiration mechanism,
which is useful to handle cache data and persistent data of various
applications. Kyoto Tycoon is also a package of network interface to the DBM
called Kyoto Cabinet. Though the DBM has high performance and high concurrency,
you might bother in case that multiple processes share the same database, or
remote processes access the database. Thus, Kyoto Tycoon is provided for
concurrent and remote connections to Kyoto Cabinet. Kyoto Tycoon is composed of
the server process managing multiple databases and its access library for client
applications.
The network protocol between the server and clients is HTTP so that you can
write client applications and client libraries in almost all popular languages.
Both of RESTful-style interface by the GET, HEAD, PUT, DELETE methods and
RPC-style inteface by the POST method are supported. The server can handle more
than 10 thousand connections at the same time because it uses modern I/O event
notification facilities such as "epoll" and "kqueue" of underlying systems. The
server supports high availability mechanisms, which are hot backup, update
logging, and asynchronous replication. The server can embed Lua, a lightweight
script language so that you can define arbitrary operations of the database.
Currently phpMyAdmin can:
* browse and drop databases, tables, views, columns and indexes
* display multiple results sets through stored procedures or queries
* create, copy, drop, rename and alter databases, tables, columns
and indexes
* maintain server, databases and tables, with proposals on server
configuration
* execute, edit and bookmark any SQL-statement, even batch-queries
* load text files into tables
* create and read dumps of tables
* export data to various formats: CSV, XML, PDF, ISO/IEC 26300 -
OpenDocument Text and Spreadsheet, Microsoft Word 2000, and
LATEX formats
* import data and MySQL structures from OpenDocument spreadsheets,
as well as XML, CSV, and SQL files
* administer multiple servers
* manage MySQL users and privileges
* check referential integrity in MyISAM tables
* using Query-by-example (QBE), create complex queries
automatically connecting required tables
* create PDF graphics of your database layout
* search globally in a database or a subset of it
* transform stored data into any format using a set of predefined
functions, like displaying BLOB-data as image or download-link
* track changes on databases, tables and views
* support InnoDB tables and foreign keys
* support mysqli, the improved MySQL extension
* create, edit, call, export and drop stored procedures and
functions
* create, edit, export and drop events and triggers
* communicate in 62 different languages
PostgreSQL is a sophisticated Object-Relational DBMS, supporting
almost all SQL constructs, including subselects, transactions, and
user-defined types and functions. It is the most advanced open-source
database available anywhere. Commercial Support is also available.
The original Postgres code was the effort of many graduate students,
undergraduate students, and staff programmers working under the direction of
Professor Michael Stonebraker at the University of California, Berkeley. In
1995, Andrew Yu and Jolly Chen took on the task of converting the DBMS query
language to SQL and created a new database system which came to known as
Postgres95. Many others contributed to the porting, testing, debugging and
enhancement of the Postgres95 code. As the code improved, and 1995 faded into
memory, PostgreSQL was born.
PostgreSQL development is presently being performed by a team of Internet
developers who are now responsible for all current and future development. The
development team coordinator is Marc G. Fournier (scrappy@PostgreSQL.ORG).
Support is available from the PostgreSQL developer/user community through the
support mailing list (questions@PostgreSQL.ORG).
PostgreSQL is free and the complete source is available.
PostgreSQL is a sophisticated Object-Relational DBMS, supporting
almost all SQL constructs, including subselects, transactions, and
user-defined types and functions. It is the most advanced open-source
database available anywhere. Commercial Support is also available.
The original Postgres code was the effort of many graduate students,
undergraduate students, and staff programmers working under the direction of
Professor Michael Stonebraker at the University of California, Berkeley. In
1995, Andrew Yu and Jolly Chen took on the task of converting the DBMS query
language to SQL and created a new database system which came to known as
Postgres95. Many others contributed to the porting, testing, debugging and
enhancement of the Postgres95 code. As the code improved, and 1995 faded into
memory, PostgreSQL was born.
PostgreSQL development is presently being performed by a team of Internet
developers who are now responsible for all current and future development. The
development team coordinator is Marc G. Fournier (scrappy@PostgreSQL.ORG).
Support is available from the PostgreSQL developer/user community through the
support mailing list (questions@PostgreSQL.ORG).
PostgreSQL is free and the complete source is available.
PostgreSQL is a sophisticated Object-Relational DBMS, supporting
almost all SQL constructs, including subselects, transactions, and
user-defined types and functions. It is the most advanced open-source
database available anywhere. Commercial Support is also available.
The original Postgres code was the effort of many graduate students,
undergraduate students, and staff programmers working under the direction of
Professor Michael Stonebraker at the University of California, Berkeley. In
1995, Andrew Yu and Jolly Chen took on the task of converting the DBMS query
language to SQL and created a new database system which came to known as
Postgres95. Many others contributed to the porting, testing, debugging and
enhancement of the Postgres95 code. As the code improved, and 1995 faded into
memory, PostgreSQL was born.
PostgreSQL development is presently being performed by a team of Internet
developers who are now responsible for all current and future development. The
development team coordinator is Marc G. Fournier (scrappy@PostgreSQL.ORG).
Support is available from the PostgreSQL developer/user community through the
support mailing list (questions@PostgreSQL.ORG).
PostgreSQL is free and the complete source is available.
PostgreSQL is a sophisticated Object-Relational DBMS, supporting
almost all SQL constructs, including subselects, transactions, and
user-defined types and functions. It is the most advanced open-source
database available anywhere. Commercial Support is also available.
The original Postgres code was the effort of many graduate students,
undergraduate students, and staff programmers working under the direction of
Professor Michael Stonebraker at the University of California, Berkeley. In
1995, Andrew Yu and Jolly Chen took on the task of converting the DBMS query
language to SQL and created a new database system which came to known as
Postgres95. Many others contributed to the porting, testing, debugging and
enhancement of the Postgres95 code. As the code improved, and 1995 faded into
memory, PostgreSQL was born.
PostgreSQL development is presently being performed by a team of Internet
developers who are now responsible for all current and future development. The
development team coordinator is Marc G. Fournier (scrappy@PostgreSQL.ORG).
Support is available from the PostgreSQL developer/user community through the
support mailing list (questions@PostgreSQL.ORG).
PostgreSQL is free and the complete source is available.
PostgreSQL is a sophisticated Object-Relational DBMS, supporting
almost all SQL constructs, including subselects, transactions, and
user-defined types and functions. It is the most advanced open-source
database available anywhere. Commercial Support is also available.
The original Postgres code was the effort of many graduate students,
undergraduate students, and staff programmers working under the direction of
Professor Michael Stonebraker at the University of California, Berkeley. In
1995, Andrew Yu and Jolly Chen took on the task of converting the DBMS query
language to SQL and created a new database system which came to known as
Postgres95. Many others contributed to the porting, testing, debugging and
enhancement of the Postgres95 code. As the code improved, and 1995 faded into
memory, PostgreSQL was born.
PostgreSQL development is presently being performed by a team of Internet
developers who are now responsible for all current and future development. The
development team coordinator is Marc G. Fournier (scrappy@PostgreSQL.ORG).
Support is available from the PostgreSQL developer/user community through the
support mailing list (questions@PostgreSQL.ORG).
PostgreSQL is free and the complete source is available.