But, at least I am willing to admit my biases. I would give this 4-stars for effort, but have not yet installed it, because I am a typical lazy Mac user and am used to auto-install features. Download of scidavis-0.2.4-undefinedoperation.patch (scidavis-0.2.4-undefinedoperation.patch (external link: SF.net): 576 bytes) will begin shortly.If not so, click link on the left. When an application is truly a free app, as this appears to be, then reviews should also take this into consideration. DMGs, and nice Mac-like icons, but too much emphasis is placed on this when reviews in MU should focus on all the technical issues, and to vote according to balanced criteria. It is certainly nice to have self-installing. Free download page for Project SciDAVis's scidavis-0.2. is a user-friendly data analysis and visualization program primarily aimed at high-quality plotting of scientific data. Free download page for Project SciDAViss scidavis-0.2. scidavis.spec 2 libmsn.spec lat-1.2.2-libdir.patch. Some of us do truly appreciate all those who attempt to port for Mac. perl-Module-Util.spec conman-0.2.4.tar.bz2 conman.init conman.logrotate. I seriously doubt that this user is a seasoned professional. Let me the first to apologize for SOME Mac users, who apparently think that developers should all work for free. Free download page for Project SciDAViss scidavis-0.2.4. Perhaps a point off for this is perhaps reasonable, but come on. After stalled development for several years, updates to SciDAVis have resumed.It is ridiculous to give a developer - especially on who has moved their application over to the Mac, at their own expense, for FREE - a 1-star review because they didn't make installation automatic. In 2008, developers of SciDAVis and LabPlot "found their project goals to be very similar" and "decided to start a close cooperation" with the aim of merging their code into a common backend, while maintaining "two frontends, one with full KDE4 integration (called LabPlot 2.x) and one with no KDE dependencies (pure Qt so to say) for easier cross-platform use (called SciDAVis)". Franke has stated that the topics of disagreement included "design goals, management of community resources and the right way to make money from a free software project". qtiplot extra/qtiplot 0.9.8.9-1 Data analysis and scientific plotting - free clone of Origin aur/scidavis 0.2.4-7 (52) Free application for Scientific. SciDAVis was founded by Tilman Benkert and Knut Franke in 2007 as a fork of QtiPlot, after disagreements arose with Ion Vasilief, the founder and main developer of the project. The GUI of the application uses the Qt toolkit. Note windows support in-place evaluation of mathematical expressions or an optional scripting interface to Python. scidavis source package in Trusty Version 0.2.4-4 uploaded on scidavis source package in Stretch Version 1.D13-1 uploaded on scidavis source package in Squeeze Version 0.2. It strives to combine an intuitive, easy-to-use graphical user interface with powerful features such as Python scriptability. The plots can be exported to several bitmap formats, PDF, EPS or SVG. () Package updated to version: scidavis-0.2.4 () Some files were modified () Package updated to version: scidavis-0.2. SciDAVis is a user-friendly data analysis and visualization program primarily aimed at high-quality plotting of scientific data. Curve fitting can be performed with user-defined or built-in linear and nonlinear functions, including multi-peak fitting, based on the GNU Scientific Library. The built-in analysis operations include column/row statistics, (de)convolution, FFT and FFT-based filters. The spreadsheets as well as graphs and note windows are gathered in a project and can be organized using folders. Name : scidavis Version : 0.2.4 Vendor : Fedora Project Release : 5.fc14 Date : 10:39:44 Group : Applications/Engineering Source RPM : scidavis-0.2.4-5. The data is held in spreadsheets which are referred to as tables with column-based data (typically X and Y values for 2D plots) or matrices (for 3D plots). SciDAVis can generate different types of 2D and 3D plots (such as line, scatter, bar, pie, and surface plots) from data that is either imported from ASCII files, entered by hand, or calculated using formulas.
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