Building QtiPlot on Windows is very. It is impossible to build a full featured QtiPlot due to the fact. QtiPlot is linked to the plugin and they.
- QtiPlot is an application developed for the scientific and academic world, as it enables you to create two and three dimensional. Read the full changelog.
- I think that Qtiplot is the only candidate to be a serious plotting program for. Anyways the file format will probably changed to a full XML format in the future.
Introduction This page is devoted to make Unofficial Builds of Qtiplot for windows available to everyone for free. QtiPlot is an open source alternative to Origin and other similar scientific data analysis and plotting programs.
Qtiplot has been written by Ion Vasilef and other collaborators. Check the for more information: A note on releases of newer versions (0.9.8.3): Every time a new official QtiPlot version is released, I get emails from people asking whether I plan to make an unofficial release as well.
So I guess it is worth answering here:. My plan is to make roughly 2 releases per year. My last release was done early in 2011but sometimes I cannot find the time for doing them. Since as well, I will also link to his releases in this page. The main issue is that since version 0.9.8.4, the author of QtiPlot decided to move certain features of QtiPlot to what he calls a 'plug-in' system and he does not distribute the code for those plug-ins (the of this should be looked at carefully).
As a result, it may happen that future unofficial builds of versions =0.9.8.4 may lack some features. I haven't tried myself yet, but I got some reports of other people trying to get a full-featured build without success. However, S.Z has managed to port the EMF export and Origin import support from version 0.9.8.3 to the latest versions. Of course, I will be very happy in hearing from other people's experiences in this regard.
Download For using QtiPlot on a windows machine, simply download the package from the following list, unzip it in your directory of choice and execute QtiPlot.exe. Unofficial Build (1) Source (2) Notes (3,4) Download it directly from the builder's web page: see Notes This build was kindly contributed by S.Z. For more details, check: The following features from QtiPlot v0.9.8.9 are not enabled in this build:. Import from spreadsheets Python scripting is supported, but you must have Python2.7 already installed in your machine. You may also need to change the location of the 'Python Configuration File' (qtiplotrc.py) in QtiPlot's preferences dialog. Download it directly from the builder's web page: or from a mirror in my page: see Notes This build was kindly contributed by S.Z.
For more details, check: The following features from QtiPlot v0.9.8.8 are not enabled in this build:. Full import support for Origin Files.
Import from spreadsheets Python scripting is supported, but you must have Python2.7 already installed in your machine. You may also need to change the location of the 'Python Configuration File' (qtiplotrc.py) in QtiPlot's preferences dialog. All features are supported in this build All features are supported in this build The following features from QtiPlot v0.9.7.8 are not enabled in this build:. Python scripting. Export graphs to Windows metafiles (1): These builds can be legally installed in as many machines as wanted, They can also be redistributed under the terms of the. (2): The source code provided here contains the modifications I had to do in order to build the corresponding binaries.
They may also contain some 3rd parties software. (3): Some optional features may not be available in some builds. The reason is that I ran into some kind trouble for compiling them and I did not have time/motivation to investigate further. If you are interested in getting those features, you can try to enable them by (and if you succeed, please tell me how you did it!), or use the official binaries (4): I cannot offer any guaranty for any build contributed by a third person (as a matter of fact, I do not offer any guaranty on my own builds), but at least I checked that all the binaries in this table worked for me and, to my best knowledge, they are free of malware (scanned with clamav on the release date). Other sources of binaries.
Some GNU/Linux distributions provide QtiPlot in their official repositories (e.g., Debian and Ubuntu). Moreover, in distributions that do not provide it officially, it is in many cases easy to find packages contributed by the community.
provides (somewhat outdated) QtiPlot binaries for MacOSX free of charge:. In 2007 a project called SciDavis was started as a fork of QtiPlot. While SciDavis shares many of the characteristics of QtiPlot, it does not try to mimic Origin's interface (whether this is advantage or a disadvantage depends on the user). SciDavis provides unrestricted access to binaries for Linux, Windows and MacOSX: Why using unofficial QtiPlot builds? The reason for creating this web page is that, although the Qtiplot program is Free Software under the, its author does not provide binaries (the executable program) for free (the license only requires him to provide the sources).
The author provides for free, but he charges users if they want the full-featured binaries. Therefore, in order to use QtiPlot, your options are: a) Use any of the GNU/Linux distributions that include their own builds of Qtiplot (e.g. Debian or Ubuntu) b) Buy a maintenance contract from Ion Vasilief. C) from the GPL'ed sources. D) Get the program from someone else who already compiled it (the GPL grants redistribution rights).
I personally prefer 'a)', and I would recommend 'b)' in many situations. But, there are some cases in which 'b)' is not possible. The 'c)' option (compile-it-yourself) is obviously not for everybody. This leaves some people with 'd)' as the only choice. This is what this web page is for. Why using official QtiPlot builds? Or, in other words.
Why would anyone want option 'b)' if there is an option 'd)'? 1) Because you may want to. 2) Because you may want to have support from Ion Vasilef.
3) Because you may want to have the most up-to-date binary with a nice installer. How can I compile QtiPlot Myself? You can find instructions on how we created these unofficial packages in. Contact information If you have any comments, questions, or suggestions, feel free to.
QtiPlot is an application developed for the scientific and academic world, as it enables you to create two and three dimensional graphical representations from data. The application is created to be a dynamic tool that you can use in any circumstances. To plot the graphs, it uses the data you provide in tables. If at any time the data you insert is modified, the application automatically updates the corresponding curves, scales, axes and legends.
QtiPlot works with large quantities of data meaning you can add as many columns as you want and even import data from Excel and ODF spreadsheets. The application enables you to perform 2D plots for integration, interpolation and curve fitting, amongst others. As far as the interface of the application goes, it’s pretty straightforward when it comes to accessing tools and functions but if you’re not familiar to this kind of tool you have to spend a couple of good minutes learning how to get around and what each option does. QtiPlot also aims to make its use as intuitive and comfortable as possible and in this regard you are allowed to move the toolbars and dock them anywhere you want in the main window.
FAQs
The application provides you with the tools you need to create 2D graphs from data and functions and 3D representations of the data from a matrix. You are also able to create multi layered plots in a single project. This, in combination with the fact that you can export the graphs in formats such as JPEG, PNG, BMP and PDF, makes QtiPlot very handy when you need to attach the graph to projects or print them. QtiPlot also provides you with functions such as correlation, convolution, deconvolution and interpolation for detailed data analysis along with mathematical expressions and scripting. With the above to consider and much more to discover about QtiPlot, you definitely come to the conclusion that it is a complete solution for data visualization and analysis.