Free collector 1.0 software for linux

DB based NetFLow Collector aims to collect Cisco NetFlow data and store it to a database.
DB based NetFlow Collector has a plugin interface, which makes it flexible for fitting in particular tasks.
Enhancements:
- First release. post your comments/bug reports.

Polyester is a widget style + kwin decoration both aimed to be a good balance between eye candy and simplicity.

Webcomics Collector is a GPLed python script for downloading webcomics. Webcomics Collector can start from the frontpage and work its way back through the archive of a webcomic, downloading the entire archive independently of dates or naming of strip-images.

There is order in which the strips should appear is recorded in a file which the webinterface and frontends can use. FYI: Alot of webcomics dont name their strip-images in a way that allows you to just fire up an imageviewer and start reading, so it is recommended that you use the webinterface.

Open Media Collectors Database project (OpenDb) is a PHP and MySQL based inventory application that allows you to easily catalog and lend media-related items, including DVD, VCD, CD, VHS, games, books, and laser discs.
There are also quite a few Contributed item types available, and if thats not enough you can define your own.
OpenDb is GPL licenced and built on PHP and MySQL. Anything that you can collect and lend, you can catalog with this system. OpenDb allows you to add new types, by describing them in system database tables designed for the purpose.
It includes workflow mechanism for lending, possibility to use different themes and/or creating themes, retrieving data from Amazon, imdb & others, plugins, language packs, etc.
Main features:
- Catalogue all sorts of things including DVD, (S)VCD, DivX, CD, VHS, Games, Books and Laser Discs
- Lending workflow
- Flexible add of new types
- Themes
- Supports metadata from Amazon, imdb, etc.
- Plugins
- Language Packs

APLoader stands for Another Postgres Loader, is a front-end to the Postgresql COPY command written in Ruby.

Features include:

fault tolerance
a progress meter
failed batch logs
minimal requirements
a programmable API
excellent performance.

The APLoaderproject is a PostgreSQL Community project that is a part of the pgFoundry.

System Configuration Collector in short SCC, collects configuration data of systems in snapshots. The structure of the snapshot allows SCC to compare a snapshot with the previous one and detect changes in the configuration.
Upon detecting changes, scc adds the differences to a logbook. The snapshot and the logbook are converted to HTML for local inspection. Optionally, the SCC-files can be send to a system running the SCC server software. On the server, summaries of the SCC-data are generated and search/compare operations on the snapshots and logbooks are available via a web-interface.
The logbook is a starting point in case a system "suddenly" does not work correctly and the administrator is wondering what he/she has changed in the last weeks or months. As most of us know by experience, configuration changes can have accidental side-effects on (other) systems.
By examining the entries in the logbooks and considering the consequences, the cause of an actual problem might be found more easily than by just trying to remember the changes that were performed.
The snapshots can be used to compare the configuration of two systems. Imagine systems, that are supposed to be identical, but behave differently. Comparing parts of the snapshots of the two systems can indicate the cause of the difference in behavior.
Enhancements:
- The DIV tags in the HTML was corrected.
- Directory data/transfer was created to avoid errors in scc-pull. cpu-speed for SunOS was added.
- The machinfo variable is now initialized.
- The determination of local filesystems on Linux was corrected.
- Squid classification was corrected.

Ruport aka RubyReport is a pure Ruby report generation and formatting system.
It aims to prevent you from ever having to fight with the low level tasks of parsing data from various sources.
If youd like to build professional grade custom reports quickly and easily, Ruport is the system for you.
Ruport is reporting, the Ruby Way.
Enhancements:
- PDF Grouping alternative styles now render correctly.
- An issue with Renderer::Hooks causing silent failures was resolved.
- A conflict with the rdoc library was also fixed, as well as some other minor bugs.

JProfiler is an award-winning all-in-one Java profiler. JProfilers intuitive GUI helps you find performance bottlenecks, pin down memory leaks and resolve threading issues.
Even though JProfiler has a powerful feature set, its a Java profiler that is extremely easy to use! JProfilers user interface provides a unified view on the profiled application and puts all the information you need right at your fingertips with its intuitive hierarchy of views.
Configure your application for profiling
When starting up JProfiler, the start center is brought up. Here you can manage and start your profiling sessions. To configure your application for profiling, change to the "New session" tab and click on the New session button. Enter the required information into the session config dialog as described below and select Ok to start profiling. Thats all it takes. Note the Help button which appears on all of JProfilers dialogs displays a context sensitive explanation of all features.
While the configuration dialog displays numerous options that you will not want to miss after becoming familiar with JProfiler, entering the basic pieces of information is really very simple:
1. Enter a name for your session.
2. Enter the name of your main class.
3. Enter your class path.
4. Press Ok.
Before profiling is actually started, the profiling settings dialog is displayed where you can select the focus for your profiling run. Although profiling produces an overhead when running your application, you can minimize it by choosing a setting for which JProfiler only records information that is interesting for you.
If you want to fine-tune your profiling settings, the [Edit] button brings up a dialog with all available configuration options for profiling.
Observe classes and allocations
To find out what is going on the heap in terms of objects and classes, turn to the classes monitor. It gives you continuous updates and lets you set marks to observe changes over time. To see references, allocations and object data for your selection, you can take a snapshot by clicking on the camera in JProfilers toolbar.
If you want to know where your objects are allocated, you can go to the allocation monitor. Here, you can inspect the call tree and find out what method calls have caused the allocation of a selected class or package. Just like in the allocation monitor, you can display this data for live and garbage collected objects.
An cumulated overview on which methods are responsible for allocations is given by the allocation hot spots view. Each hot spot can be expanded and the backtraces that lead to the invocation of the hot spot are displayed. You can also mark the current values and view the differences in allocations over time.
Find memory leaks
JProfilers heap walker works like a browser: it displays a current set of objects that can be changed by adding selection steps with the [Use selected] button. You can inspect the current object set in the four views of the heap walker.
In the classes view, you can select one or several classes and add a selection step. The new object set will contain only the selected instances. This is often the first thing you want to do after taking a snapshot. You can perform this step automatically by invoking the heap walker from the classes monitor.
The allocations view of the heap walker shows the allocation tree and the allocation hot spot list of the current object set. You can add a selection step for one or multiple allocation spots or hot spots. The new object set will then be restricted to the selected instances only.
When youre looking for the cause of a memory leak, the reference view is the most important view in JProfiler. Here, you can find out why an object has not been garbage collected. Use the "Show path to GC root" function to show where the JVM hangs on to the selected instance.
Not only is the heap walker your first stop for finding memory leaks, it also makes for an excellent debugging facility. In the data view, you can inspect instances, arrays and classes in the current object set and navigate along references. There are many situations where the usual debugging approach will fail and JProfiler will help you find out.
Zoom in on performance bottlenecks
Controlling your applications performance may be driven by quality of service constraints or by general quality assurance, JProfilers CPU views lend themselves naturally to both approaches.
To record CPU data, you switch to the CPU section and click on the recording button in JProfilers tool bar. The first view in the CPU section shows the invocation tree, cumulated for all threads. To find performance related problem spots, just follow the big percentages when opening the tree nodes. Also, the absolute times and the number of invocations that are displayed for each node can help you in getting a feeling for the situation. Once you become familiar with JProfiler, you may want to customize this view to best fit your personal preferences.
The invocation tree is a top-down view on the method calls of your application. This viewpoint is most useful when you experience an actual performance bottleneck in your application. If you want to improve overall performance, a bottom-up view may be more applicable.
This kind of view - called hot spots view - shows the methods where most of the time is spent. By opening these nodes you get backtraces which show the various invocation paths together with the percentages of their contributions. Note that by default, method calls within Java core classes are not shown separately - each of your library calls is treated as opaque. You can change this behavior by deactivating the corresponding filter sets.
The method graph combines both viewpoints. Incoming and outgoing method calls are presented in the same way. For a number of situations, the method graph can give you more insight than the invocation tree and the hot spots view. The best strategy is to use the invocation and hot spots views first and switch to the method graph for detailed analysis.
Solve thread-related problems
Threads can be exceptionally difficult to debug, especially if you dont have sufficient information on the actual sequence and status of the threads in your application. JProfilers thread views provide you with exactly this knowledge.
The thread history view shows a continuous update of the lifelines of all threads on the horizontal axis. The names of the threads are displayed on the vertical axis in the order of their creation. Each color signifies a different thread status. Orange means that the thread was sleeping, green stands for a runnable thread while red is displayed if the thread was waiting for a monitor. You can zoom in and out to your desired detail level or have the time axis fit your windows size automatically.
If youre more interested in whats happening right now, the thread monitor view is the right place to look at. Here, you can sort threads, filter with respect to thread status and view additional information on each thread.
Should you ever have a deadlock in your application, the deadlock detection graph will help you analyze the involved threads and the locking situation. Simple deadlocks like the one shown could be worked out by hand from the other views, but for complicated deadlock involving a greater number of threads this view is indispensable.
Reducing general monitor contention and debugging locking sequences requires a detailed view of the current monitor usage and a history of all monitor-related events. JProfiler has both. Below you see the monitor usage history which shows a blocking event together with the stack trace of the waiting thread.
Keep an eye on your JVM
Monitoring cumulative parameters of the virtual machine can be a highly fruitful activity, even if everything seems to be all right. Measuring and observing parameters like heap size, object count, loaded classes and thread numbers can point to dangerous trends and problematic behavior to look out for. In its VM telemetry view section, JProfiler features various telemetry controls which provide you with the information you need to stay one step ahead.
The number of objects on the heap, split in arrays and non-arrays. This is your first stop if you are suspecting a memory leak. All objects with live references are included, as well as those which are unreferenced but the garbage collector hasnt had a chance to collect yet.
The garbage collector activity which displays freed and moved objects. If your application is thrashing the heap excessively, this will show up here. Moving large numbers of objects places a high burden on the virtual machine and can lead to temporary freezes. Mostly this occurs when the virtual machine is enlarging the heap.
The number of threads in the virtual machine, split in active and inactive threads. This is useful if you create a large number of threads and need information on changes in their total number and how many of them actually run.
Enhancements:
- New futures:
- rewritten eclipse 3.x integration
- rewritten IDEA 4.x integration
- IDE integration for JDeveloper
- IDE integration for Netbeans 4.0
- considerably reduced memory consumption
- improved long-term stability for profiling
- heap walker: in the cumulated incoming reference view, reference holders as well as referenced objects can be displayed and selected
- option to keep the profiled JVM alive
- support for Java Web Start 1.5
- CSV export for graphs
- enhancements in XML export for trees
- integration wizard for profiling servers in IBM WSAD
- integration wizards for Pramati 3.5 and Pramati 4.x application server
- integration wizard for Websphere 4.0 Advanced Edition
- integration wizard for Sun Java System Web Server
- integration wizard for Sun Java System Application Server
- integration wizard for Oracle 10g Application server
- integration wizard for Apple WebObjects Developer 5.x
- snapshot files (*.jps) can be opened from the command line and from the Windows explorer
- JBuilder IDE integration now supports JBuilder 2005
- much better appearance of the JProfiler GUI with Windows native look and feel
- JProfiler GUI now also runs under Java 1.5
- Bug fixes:
- monitor statistics were broken
- invalid class files caused a shutdown of the profiled application
- many bug fixes in the GUI