Scilab Download Mac
#13697: Calling chfact caused Scilab crash under Mac OS X #13778: The size of repmat(, 1 1 3) was 0 0 3 instead of 0 0. #13785: gettext was poorly documented. #13798: Datatips did not update when moving curve or changing data #13852: Calling bvode caused Scilab crash under Mac OS X #13857: splin3d crashed Scilab under Mac OS X.
- Power Debugger is a powerful development tool for debugging and programming AVR and ARM® Cortex®-M based SAM microcontrollers. In addition the Power Debugger features two independent current sensing channels and includes a CDC virtual COM port interface as well as Data Gateway Interface channels for streaming application data to the host computer from a SPI, USART, TWI or GPIO source.
- Download Scilab 5.3.3 for Mac for free, without any viruses, from Uptodown. Try the latest version of Scilab for Mac.
- Safari (web browser) – built-in from Mac OS X 10.3, available as a separate download for Mac OS X 10.2 SeaMonkey – open source Internet application suite Shiira – open source.
Scilab is an Open source software for numerical computations developed by the Scilab Team at ESI and by industry and academic contributors.
This page aims to bring macOS builds of Scilab (builds for Linux, Windows and general information can be found onhttp://www.scilab.org).Ressources for preparing and making available this specific macOS build of Scilab are provided by the Universityof Technology of Compiègne (UTC).
The macOS build is distributed under the same license as Scilab, i.e. GPL v2.
Versionof macOS
Scilabbuilds available on this page run on macOS High Sierra, Mojave, Catalina andBig Sur, supporting Intel and newer M1 machines. See the eventual details of installation in the « Troubleshooting » section.
Java
Scilabneeds a Java Virtual Machine to be run in GUI mode. If you don't have particular needs for a given version, let Scilab download and install the JDK by itself when it is launched for the first time (it will be downloaded from https://adoptopenjdk.net/).
Files
Archive name | Build date | Size |
31/08/2021 | 179M | |
04/11/2019 | 273M |
Troubleshooting
Problems with macOS Catalina or Big Sur
Scilab Download Mac Version
macOS Catalina introduced new security controls. For example, apps are now required to ask your permission before accessing parts of the drive where documents and personal files are kept. If Scilab does not show files in the FileBrowser component, you will have to enable the command-line interpreter /bin/sh (which is run just after you double-click on Scilab's icon) in the 'Privacy' tab in the System Preferences Control Panel. This small video shows how to find the /bin folder by using the keys combination Command-Shift-G and then drag and drop /bin/sh in the list of authorized applications.
Mac M1 machines
Newer Mac M1 machines need the Rosetta 2 binary dynamic translator to execute applications compiled for Intel architecture. If you never run such an application on your Mac M1 it will complain when trying to launch Scilab for the first time, with the message: You don't have the permission to open the application 'Scilab'.To solve this you need to install Rosetta from the command line. Locate and lauch the 'Terminal' application, then type the following on the command line :
softwareupdate --install-rosetta --agree-to-license
Then relaunch Scilab from its icon, and continue the installation.Native arm64 build for Mac M1 machines
Mac M1 users can also download the native arm64 build below and compare the performance with the x86_64 using Rosetta. Note concerning the native arm64 JDK: If you don't have particular needs for a given version, let Scilab download and install the JDK by itself when it is launched for the first time (it will be downloaded from https://www.azul.com). Be also warned that this native build cannot use Atoms modules using C/C++ gateways for the moment since these have to be rebuilt in order to include the libraries for both architectures.
OpenBLAS vs. Accelerate Framework
We provide two different builds, the first one uses the default Accelerate Framework (which includes the default macOS Apple provided BLAS and LAPACK library) and the second one uses OpenBLAS (see https://www.openblas.net). Since the Accelerate framework seems to have a only a partial use of the new M1 features, you may experience different performance between the OpenBLAS and the Accelerate build and depending on the kind of computation the faster may be one or the other.
Archive name | Build date | Size |
31/08/2021 | 176M | |
31/08/2021 | 176M |
Other issues
If you have problems that are not mentioned in this page please use the users@lists.scilab.org mailing list. See how to subscribe to this list at the relevant page of official Scilab web site.
FreeMat is a free environment for rapid engineering and scientificprototyping and data processing. It is similar to commercial systemssuch as MATLAB from Mathworks, and IDL from Research Systems, but isOpen Source. FreeMat is available under the GPL license.
Updated News - 2013-06-31 - FreeMat 4.2 - 32 bit binary for Windows
Added a 32 bit installer for people using Windows XP.
Latest News - 2013-06-30 - FreeMat 4.2 Released
We are pleased to annouce the release of FreeMat 4.2. This version includes a number of bug fixes and some cleaned up tests and documentation. Here is a brief list of changes:
- FreeMat is now (hopefully) easier to build. The top level README.TXT includes instructions on how to build FreeMat on all three platforms (Linux, Mac OS X, and Mingw32).
- Documentation has been migrated to doxygen.
- A number of improvements have been made to the JIT back end.
- 64-bit on all platforms!
| Windows | Mac OS X | Linux |
- A Google Group has been set up for support. It is open to anyone to join and read, but you must be a member to post, and posts are moderated (necessary after the spam-bots took over the old sourceforge mailing list). The website for the URL is http://groups.google.com/group/freemat. The e-mail address for the group is freemat@googlegroups.com.
- Bug reports should be filed here: Report a Bug
- Feature requests should be filed here: Request a Feature
- Built-in interactive help (Online Help), from the FreeMat Console by typing:
- Tutorials on FreeMat are available here
- The FreeMat Wiki is here
- The FreeMat Blog is here
--> helpwin
Scilab
- Q. What is FreeMat?
FreeMat is an environment for rapid engineering and scientific processing. It is similar to commercial systems such as MATLAB from Mathworks and IDL from Research Systems, but is Open Source. It is free as in speech and free as in beer.
- Q. Why GPL?
Previous versions of FreeMat were released under MIT licenses. The current version is released under GPL. There are a number of great tools that are available to GPL-ed code (e.g., Qt, FFTW, FFCALL), and FreeMat is now one of them.
- Q. Why another MATLAB clone? Have you heard of Octave, Scilab, etc.?
Yes! FreeMat is chartered to go beyond MATLAB to include features such as a codeless interface to external C/C++/FORTRAN code, parallel/distributed algorithm development (via MPI), and advanced volume and 3D visualization capabilities. As for the open source alternatives, try them out and decide for yourself. Who said choice was a bad thing?
- Q. Is FreeMat 100% compatible with MATLAB? What about IDL?
No. FreeMat supports roughly 95% (a made up statistic) of the features in MATLAB. The following table summarizes how FreeMat stacks up against MATLAB and IDL. Because we like to lead with the positive, here are the features in that are supported:
- N-dimensional array manipulation (by default, N is limited to 6)
- Support for 8,16, and 32 bit integer types (signed and unsigned), 32 and 64 bit floating point types, and 64 and 128 bit complex types.
- Built in arithmetic for manipulation of all supported data types.
- Support for solving linear systems of equations via the divide operators.
- Eigenvalue and singular value decompositions
- Full control structure support (including, for, while, break, continue, etc.)
- 2D plotting and image display
- Heterogeneous array types (called 'cell arrays' in MATLAB-speak) fully supported
- Full support for dynamic structure arrays
- Split-radix based FFT support
- Pass-by-reference support (an IDL feature)
- Keyword support (an IDL feature)
- Codeless interface to external C/C++/FORTRAN code
- Native Windows support
- Native sparse matrix support
- Native support for Mac OS X (no X11 server required).
- Function pointers (eval and feval are fully supported)
- Classes, operator overloading
- 3D Plotting and visualization via OpenGL
- Handle-based graphics
- 3D volume rendering capability (via VTK)
- GUI/Widgets
- Widgets/GUI building
- FreeMat-to-MEX interface for porting MATLAB MEX files.
- Q. What platforms are supported?
Currently, Windows, Linux and Mac OS X are supported platforms. Other UNIX environments (such as IRIX/SOLARIS) may work. FreeMat essentially requires GNU gcc/g++ and LLVM/CLANG to build. The Win32 build requires MINGW32. I don't know if FreeMat will work with Windows 98/95/ME or NT4 as I don't have access to any of these platforms. A native port to Mac OS X is now available.
- Q. How do I get it?
Click on the Downloads link here (or on the navigation bar on the left). Installers are available for Windows and Mac OS X, and source and binary packages are available for Linux.
- Q. I found a bug! What now?
Congratulations! Please file a bug report here. FreeMat is a fairly complicated program. Simply saying 'it crashed' is not particularly helpful. If possible, please provide a short function or script that reproduces the problem. That will go a long way towards helping us figure out the problem. Also, the bug tracking feature of SourceForge will allow you to put in bugs anonymously, but please don't! Anonymous bug reports are difficult to follow up on.
- Q. Where is function xyz?
There are a number of basic functions that are missing from FreeMat's repetoire. They will be added as time goes on. If there is a particular function you would like to see, either write it yourself or put in an RFE (Request For Enhancement) here.
- Q. Who wrote FreeMat and why?
FreeMat has been in development by a group of volunteers for nearly a decade. The core team is listed here