Free light weight software for linux

SVGGraph is a Perl extension for creating SVG Graphs / Diagrams / Charts / Plots.

SYNOPSIS

use SVGGraph;

my @a = (1, 2, 3, 4);
my @b = (3, 4, 3.5, 6.33);

print "Content-type: image/svg-xmlnn";
my $SVGGraph = new SVGGraph;
print SVGGraph->CreateGraph(
{title => Financial Results Q1 2002},
[@a, @b, Staplers, red]
);

This module converts sets of arrays with coordinates into graphs, much like GNUplot would. It creates the graphs in the SVG (Scalable Vector Graphics) format. It has two styles, verticalbars and spline. It is designed to be light-weight.

If your internet browser cannot display SVG, try downloading a plugin at adobe.com.

EXAMPLES

For examples see: http://pearlshed.nl/svggraph/1.png and http://pearlshed.nl/svggraph/2.png

Long code example:

#!/usr/bin/perl -w -I.

use strict;
use SVGGraph;

### Array with x-values
my @a = (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20);
### Arrays with y-values
my @b = (-5, 2, 1, 5, 8, 8, 9, 5, 4, 10, 2, 1, 5, 8, 8, 9, 5, 4, 10, 5);
my @c = (6, -4, 2, 1, 5, 8, 8, 9, 5, 4, 10, 2, 1, 5, 8, 8, 9, 5, 4, 10);
my @d = (1, 2, 3, 4, 9, 8, 7, 6, 5, 12, 30, 23, 12, 17, 13, 23, 12, 10, 20, 11);
my @e = (3, 1, 2, -3, -4, -9, -8, -7, 6, 5, 12, 30, 23, 12, 17, 13, 23, 12, 10, 20);

### Initialise
my $SVGGraph = new SVGGraph;
### Print the elusive content-type so the browser knows what mime type to expect
print "Content-type: image/svg-xmlnn";
### Print the graph
print $SVGGraph->CreateGraph( {
graphtype => verticalbars, ### verticalbars or spline
imageheight => 300, ### The total height of the whole svg image
barwidth => 8, ### Width of the bar or dot in pixels
horiunitdistance => 20, ### This is the distance in pixels between 1 x-unit
title => Financial Results Q1 2002,
titlestyle => font-size:24;fill:#FF0000;,
xlabel => Week,
xlabelstyle => font-size:16;fill:darkblue,
ylabel => Revenue (x1000 USD),
ylabelstyle => font-size:16;fill:brown,
legendoffset => 10, 10 ### In pixels from top left corner
},
[@a, @b, Bananas, #FF0000],
[@a, @c, Apples, #006699],
[@a, @d, Strawberries, #FF9933],
[@a, @e, Melons, green]
);

HA-JDBC project is a JDBC driver implementation that provides light-weight, transparent clustering capabilities to groups of homogeneous JDBC- accessed databases.
Main features:
- Supports any database accessible via JDBC.
- High-availability - Database cluster can lose a node without failing the current transaction.
- Improves performance of concurrent read-access by distributing load across individual nodes.
- Support for full JDBC 3.0 (Java 1.4) feature set.
- Compatible with JDBC RowSet implementations found in Java 1.5.
- Out-of-the-box database-independent strategies for synchronizing a failed cluster node.
- Exposes JMX management interface to allow administration of database clusters.
- Open source (LGPL).

LLVM is a compiler infrastructure designed for compile-time, link-time, runtime, and "idle-time" optimization of programs from arbitrary programming languages. LLVM currently supports compilation of C++ and C programs, using front-ends derived from gcc 3.4.
There is a demonstration front end, Stacker, which provides a simple forth-like language. Work is currently under way to provide a Java class file front-end, as well as other significant improvements.
- A compilation strategy designed to enable effective program optimization across the entire lifetime of a program. LLVM supports effective optimization at compile time, link-time (particularly interprocedural), run-time and offline (i.e., after software is installed), while remaining transparent to developers and maintaining compatibility with existing build scripts.
- A virtual instruction set - LLVM is a low-level object code representation that uses simple RISC-like instructions, but provides rich, language-independent, type information and dataflow (SSA) information about operands. This combination enables sophisticated transformations on object code, while remaining light-weight enough to be attached to the executable. This combination is key to allowing link-time, run-time, and offline transformations.
- A compiler infrastructure - LLVM is also a collection of source code that implements the language and compilation strategy. The primary components of the LLVM infrastructure are a GCC-based C & C++ front-end, a link-time optimization framework with a growing set of global and interprocedural analyses and transformations, static back-ends for the X86, PowerPC, IA-64, Alpha, & SPARC V9 architectures, a back-end which emits portable C code, and a Just-In-Time compiler for X86, PowerPC, and SPARC V9 processors.
LLVM does not imply things that you would expect from a high-level virtual machine. It does not require garbage collection or run-time code generation (In fact, LLVM makes a great static compiler!). Note that optional LLVM components can be used to build high-level virtual machines and other systems that need these services.
LLVM is a robust system, particularly well suited for developing new mid-level language-independent analyses and optimizations of all sorts, including those that require extensive interprocedural analysis.
LLVM is also a great target for front-end development for conventional or research programming languages, including those which require compile-time, link-time, or run-time optimization for effective implementation, proper tail calls or garbage collection.
We have an incomplete list of projects which have used LLVM for various purposes, showing that you can get up-and-running quickly with LLVM, giving time to do interesting things, even if you only have a semester in a University course. We also have a list of ideas for projects in LLVM.
Enhancements:
- In this version, the ARM backend is stable and fully supported, x86 backend supports MMX and PIC, and an MSIL (.NET) backend was added.
- A new loop rotation pass was added, and PassManager and loop strength reduction pass were improved.
- Integer types are now signless and can support arbitrary bitwidths.
- Support for software floating point was added, and inline assembly support is improved.
- Improved DWARF debug information and support for zero-cost DWARF exception handling are now available.
- There are major changes in the API and the bytecode format.