Free parabuild 3.2 software for linux

pAgenda is a Cross-platform calendar/schedule.

Uses sqlite DB to handle multiple schedules with ease in single, small, portable files -- easy to backup or transfer.

Simple, functional and the strongest feature is how well it prints out a daily schedule with a single-click.

Source code available for Linux. Windows requires no installation, just unzip and run.

Kayali is a Qt based Computer Algebra System (CAS) that can also be used as an advanced replacement for KDE KCalc.

Please Note: I am currently targetting a small subset of Maxima, while maintaining a medium-term goal of supporting all of Maxima. Please bear in mind that although Kayali probably does not support what you want to do with it right now, it can be made do so - but I need your feedback to do that. Please try it out if you can and share your thoughts.

Kayali is currently alpha software and has only been tested on my own PC. It you are reading this (condition1 : satisfied) and are prepared to give it a go, then please do send me feedback as to how you get on. At this stage I am particularly looking for hints about where to focus my development efforts, so please email me or post a message to the Kayali sourceforge forum with what you would like to see Kayali support.

I expect to see rapid development of Kayali so please check back regularly for updates.

Installation:

There is no real installation required. Simply untar the source tar.gz into a new directory. To run Kayali, type "python kayali.py" from the installation directory. Please note, however, the other required software packages. Of these, only Maxima and PyQt are mandatory. The others are only used for creating plots. If you are running linux then you probably have most of these already installed.

Algebra

Kayali supports all the algebraic operations of Maxima, however the graphical representation is not complete, though is being rapidly expanded. Please let me know what areas you would like to see finished first.

Try these for example:

eq1: 2*x + y = 13
eq2: x*y = 20
solve([eq1,eq2])

factor(x^6 - y^6)

factor(30!)

expand((2*x + y)^5)

Calculus

Kayali supports all the calculus operations of Maxima but again, I have only (so far) provided graphical support for a limited number of operations. Try these for example:

integrate(1/(1+x^3),x)

diff(3*x^4 - x^2,x)

Plots

Kayali currently uses Gnuplot for graphing. It also is using the Maxima interface to Gnuplot rather than addressing Gnuplot directly. This has both advantages and disadvantages.

Try this:

atan(-x^2+y^3/4) [Enter]

Then right-mouse click on the output in the table, and select Plot. Enter min and max values of -4 and 4, for both x and y. Select OK. After viewing the plot, click back on the History tab.

Ruby Inline is an analog to Perls Inline::C. Out of the box, it allows you to embed C/++ external module code in your ruby script directly. By writing simple builder classes, you can teach how to cope with new languages (fortran, perl, whatever).
Main features:
- Quick and easy inlining of your C or C++ code embedded in your ruby script.
- Extendable to work with other languages.
- Automatic conversion between ruby and C basic types
- char, unsigned, unsigned int, char *, int, long, unsigned long
- inline_c_raw exists for when the automatic conversion isnt sufficient.
- Only recompiles if the inlined code has changed.
- Pretends to be secure.
- Only uses standard ruby libraries, nothing extra to download.

ACL2 is a programming language in which you can model computer systems and a tool to help you prove properties of those models. ACL2 stands for "A Computational Logic for Applicative Common Lisp".
It is an "industrial-strength" version of the NQTHM or Boyer/Moore theorem prover, and has been used for the formal verification of commercial microprocessors, the Java Virtual Machine, interesting algorithms, and so forth.
Enhancements:
- A soundness bug and some other minor bugs have been fixed.
- Including books has been sped up by as much as 50%.
- Rewriting can be dynamically monitored.
- Accumulated persistence supports meta-rules and identifies useless rules, and many other minor updates have been made.

Java Compiler Compiler (JavaCC) is the most a parser generator for use with Java applications.

A parser generator is a tool that reads a grammar specification and converts it to a Java program that can recognize matches to the grammar.

In addition to the parser generator itself, JavaCC provides other standard capabilities related to parser generation, such as tree building (via a tool called JJTree included with JavaCC), actions, debugging, and more.

Valgrind is an award-winning suite of tools for debugging and profiling Linux programs. With the tools that come with Valgrind, you can automatically detect many memory management and threading bugs, avoiding hours of frustrating bug-hunting, making your programs more stable. You can also perform detailed profiling, to speed up and reduce memory use of your programs.
Valgrind distribution currently includes three tools: a memory error detectors, a cache (time) profiler and a heap (space) profiler.
Valgrind is Open Source / Free Software, and is freely available under the GNU General Public License.
Main features:
- Valgrind will save you hours of debugging time. With Valgrind tools you can automatically detect many memory management and threading bugs. This gives you confidence that your programs are free of many common bugs, some of which would take hours to find manually, or never be found at all. You can find and eliminate bugs before they become a problem.
- Valgrind can help you speed up your programs. With Valgrind tools you can also perform very detailed profiling to help speed up your programs.
- Valgrind is free. Free-as-in-speech: you can download it, read the source code, make modifications, and pass them on, all within the limits of the GNU GPL. And free-as-in-beer: we arent charging for it.
- Valgrind runs on x86/Linux, AMD64/Linux and PPC32/Linux, several of the most popular platforms in use. Valgrind works with all the major Linux distributions, including Red Hat, SuSE, Debian, Gentoo, Slackware, Mandrake, etc.
- Valgrind is easy to use. Valgrind uses dynamic binary translation, so you dont need to modify, recompile or relink your applications. Just prefix your command line with valgrind and everything works.
- Valgrind is not a toy. Valgrind is first and foremost a debugging and profiling system for large, complex programs. We have had feedback from users working on projects with up to 25 million lines of code. It has been used on projects of all sizes, from single-user personal projects, to projects with hundreds of programmers.
- Valgrind is suitable for any type of software. Valgrind has been used on almost every kind of software imaginable: desktop applications, libraries, databases, games, web browsers, network servers, distributed control systems, virtual reality frameworks, transaction servers, compilers, interpreters, virtual machines, telecom applications, embedded software, medical imaging, scientific programming, signal processing, video/audio programs, NASA Mars lander vision and rover navigation systems, business intelligence software, financial/banking software, operating system daemons, etc, etc. See a list of projects using Valgrind.
- Valgrind is widely used. Valgrind has been used by thousands of programmers across the world. We have received feedback from users in over 25 countries, including: Belgium, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Italy, The Netherlands, Norway, Poland, Portugal, Russia, Sweden, Switzerland, UK, Argentina, Brazil, Canada, USA, Australia, India, Japan, New Zealand, Singapore, South Africa and Israel.
- Valgrind works with programs written in any language. Because Valgrind works directly with program binaries, it works with programs written in any programming language, be they compiled, just-in-time compiled, or interpreted. The Valgrind tools are largely aimed at programs written in C and C++, because programs written in these languages tend to have the most bugs! But it can, for example, be used to debug and profile systems written in a mixture of languages. Valgrind has been used on programs written partly or entirely in C, C++, Java, Perl, Python, assembly code, Fortran, Ada, and many others.
- Valgrind debugs and profiles your entire program. Unlike tools that require a recompilation step, Valgrind gives you total debugging and profiling coverage of every instruction executed by your program, even within system libraries. You can even use Valgrind on programs for which you dont have the source code.
- Valgrind can be used with other tools. Valgrind can start GDB and attach it to your program at the point(s) where errors are detected, so that you can poke around and figure out what was going on at the time.
- Valgrind is extensible. Valgrind consists of the Valgrind core, which provides a synthetic software CPU, and Valgrind tools, which plug into the core, and instrument and analyse the running program. Anyone can write powerful new tools that add arbitrary instrumentation to programs. This is much easier than writing such tools from scratch. This makes Valgrind ideal for experimenting with new kinds of debuggers, profilers, and similar tools.
- Valgrind is actively maintained. The Valgrind developers are constantly working to fix bugs, improve Valgrind, and ensure it works as new Linux distributions and libraries come out. There are also mailing lists you can subscribe to, and contact if youre having problems.
- So whats the catch? The main one is that programs run significantly more slowly under Valgrind. Depending on which tool you use, the slowdown factor can range from 5--100. This slowdown is similar to that of similar debugging and profiling tools. But since you dont have to use Valgrind all the time, this usually isnt too much of a problem. The hours youll save debugging will more than make up for it.
Enhancements:
- 3.2.3 is almost identical to 3.2.2, but fixes a regression that unfortunately crept into 3.2.2. The regression causes an assertion failure in Valgrind when running certain obscure SSE code fragments on x86-linux and amd64-linux. Please do not use (or package) 3.2.2; instead use 3.2.3.

Jaggregate is a Java collections library that is modeled after the ANSI Smalltalk collection protocols.
It only works with J2SE 5.
Enhancements:
- A bug with SortedCollections produced by the zero-argument Collection.toSortedCollection() was fixed.
- Such collections could not be serialized, because the Comparator they use was not itself Serializable.
- This has been remedied.
- *From and *With methods were added to Dictionary and IdentityDictionary, despite compiler warnings about generic array creation.

SpamAssassin project is a mature, widely-deployed open source project that serves as a mail filter to identify spam, also known as unsolicited commercial email (UCE)
SpamAssassin uses a variety of mechanisms including header and text analysis, Bayesian filtering, DNS blocklists, and collaborative filtering databases. SpamAssassin runs on a server, and filters spam before it reaches your mailbox.
Main features:
- Wide-spectrum: SpamAssassin uses a wide variety of local and network tests to identify spam signatures. This makes it harder for spammers to identify one aspect which they can craft their messages to work around.
- Free software: it is distributed under the same terms and conditions as other popular open-source software packages such as the Apache web server.
- Easy to extend: Anti-spam tests and configuration are stored in plain text, making it easy to configure and add new rules.
- Flexible: SpamAssassin encapsulates its logic in a well-designed, abstract API so it can be integrated anywhere in the email stream. The Mail::SpamAssassin classes can be used on a wide variety of email systems including procmail, sendmail, Postfix, qmail, and many others.
- Easy Configuration: SpamAssassin requires very little configuration; you do not need to continually update it with details of your mail accounts, mailing list memberships, etc. Once classified, site and user-specific policies can then be applied against spam. Policies can be applied on both mail servers and later using the users own mail user-agent application.