There should be clear instructions for those who want to disable GCC from the pkgbuild. I just install Matlab from their installer on most of my machines as I can't afford to lock up a machine for 1/2 a day compiling GCC. In fact if you wanted to run MATLAB on a low-end machine you could be waiting several days for the GCC part to finish.
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Package Details: java-matlab 1:R2025a.25.1.0.2943329-6
Package Actions
| Git Clone URL: | https://aur.archlinux.org/matlab.git (read-only, click to copy) |
|---|---|
| Package Base: | matlab |
| Description: | A high-level language for numerical computation and visualization (Java components) |
| Upstream URL: | https://www.mathworks.com/products/matlab.html |
| Keywords: | computation matlab numerical visualization |
| Licenses: | custom:MATLAB EULA |
| Provides: | java-matlab-version |
| Submitter: | ido |
| Maintainer: | vitaliikuzhdin |
| Last Packager: | vitaliikuzhdin |
| Votes: | 41 |
| Popularity: | 0.71 |
| First Submitted: | 2015-08-15 09:33 (UTC) |
| Last Updated: | 2025-06-25 09:52 (UTC) |
Dependencies (5)
- java-environment-openjdk (jdk10-openj9-binAUR, jdk16-adoptopenjdkAUR, liberica-jre-11-binAUR, jdk16-openjdkAUR, jdk14-openjdkAUR, jdk18-openjdkAUR, liberica-jre-11-full-binAUR, jdk13-openjdk-binAUR, liberica-jre-8-full-binAUR, jdk12-openjdkAUR, jdk11-dragonwell-standard-binAUR, jdk11-jetbrains-binAUR, zulu-13-binAUR, jdk8-dragonwell-extended-binAUR, jdk8-dragonwell-standard-binAUR, jdk11-dragonwell-extended-binAUR, jdk13-openjdkAUR, jdk15-openjdkAUR, liberica-nik-24-full-binAUR, zulu-8-binAUR, liberica-jdk-11-lite-binAUR, jdk19-openjdkAUR, zulu-jdk-fx-binAUR, zulu-fx-binAUR, zulu8-fx-binAUR, zulu11-fx-binAUR, zulu17-fx-binAUR, zulu21-fx-binAUR, jdk11-openj9-binAUR, jre-zulu-binAUR, jre-zulu-fx-binAUR, jdk-android-studioAUR, jdk-openj9-binAUR, zulu-11-binAUR, openjdk-zulu8-ca-fx-binAUR, openjdk-zulu11-ca-fx-binAUR, openjdk-zulu17-ca-fx-binAUR, openjdk-zulu21-ca-fx-binAUR, openjdk-liberica8-full-binAUR, openjdk-liberica11-full-binAUR, openjdk-liberica17-full-binAUR, openjdk-liberica21-full-binAUR, openjdk-zulu-ca-fx-binAUR, openjdk-liberica-full-binAUR, jdk8-perfAUR, zing-21-binAUR, jdk17-jetbrains-binAUR, jdk21-dragonwell-standard-binAUR, java-openjdk-binAUR, liberica-jdk-full-binAUR, liberica-jdk-21-full-binAUR, liberica-jdk-8-full-binAUR, jdk8-dragonwell-extendedAUR, liberica-jdk-11-binAUR, zulu-17-binAUR, liberica-jdk-11-full-binAUR, liberica-jdk-21-binAUR, zulu-17-fx-binAUR, liberica-jdk-17-full-binAUR, zulu-21-binAUR, jdk-temurinAUR, jdk21-temurinAUR, jdk17-temurinAUR, jdk11-temurinAUR, zing-8-binAUR, zulu-24-binAUR, jdk23-temurinAUR, liberica-nik-23-full-binAUR, zing-23-binAUR, jdk22-openjdkAUR, jdk23-openjdkAUR, jdk21-openj9-binAUR, jdk17-openj9-binAUR, jdk17-dragonwell-standard-binAUR, jdk21-dragonwell-extended-binAUR, jdk21-jetbrains-binAUR, jdk-openjdk-wakefieldAUR, jre-jetbrainsAUR, java-openjdk-ea-binAUR, jdk-openjdk, jdk11-openjdk, jdk17-openjdk, jdk21-openjdk, jdk8-openjdk)
- matlabAUR (matlab-supportAUR)
- gendesk (make)
- inotify-tools (inotify-tools-gitAUR) (make)
- matlab-mpmAUR (make)
Required by (1)
- matlab (optional)
Sources (1)
tornado99 commented on 2021-11-12 14:37 (UTC)
moetayuko commented on 2021-10-13 04:12 (UTC)
@bbaserdem ./install from r2021b iso works fine for me
silverbluep commented on 2021-10-12 14:58 (UTC)
@VictriD; what you have is amazing; i do want to add it to the script.
@all; i can't make matlab installer (2021b) run on my PC; does anyone have any issues with it?
VictriD commented on 2021-07-31 16:48 (UTC)
Hello, I've modified the package script from burger's https://github.com/bloatmode/matlab-aur.git. The new script can be located by https://github.com/Victrid/matlab-aur.
This script can:
- Determine and update the versions by the provided matlab installer package, and determine the needed dependencies' version.
- Marked GCC stuff as optional dependencies. These are only used by compiler related programs.
- Removed the license file, then the package can be distributed through network and multiusers on a machine. As matlab is licensed per-user, this can be more practical as users will activate the matlab when they opened for the first time.
Meanwhile:
- The script installs matlab into
/usr/librather than/opt - The script do not allow multiple instances of versions.
tornado99 commented on 2021-05-12 17:13 (UTC) (edited on 2021-05-12 17:13 (UTC) by tornado99)
Should opt/tmw/MATLAB-rxxxxx be given user read/write access? Otherwise toolboxes cannot be installed using the Add-on Explorer.
offmilk commented on 2021-03-18 02:30 (UTC) (edited on 2021-03-18 05:42 (UTC) by offmilk)
Edit: This bug actually now occurs as soon as matlab has started
I have discovered a bug using kernel:5.10.16-arch1-1 where when I click on a different window then come back to matlab I cannot click anywhere, I can minimize, expand/restore and close but I can't click on anything else. Restarting the app allows me to use it again however clicking out of it again replicates the bug. Let me know what further details you would need
burger commented on 2021-03-16 01:39 (UTC)
The following changes since commit 04100d8083b1:
Fixed version typo on PKGBUILD (2021-02-03 13:06:49 -0500)
are available in the Git repository at:
https://github.com/bloatmode/matlab-aur.git
for you to fetch changes up to 7cb38505583b311a25e989c68426f18b6ee30659:
Added instructions on how to download the license file and installation key if the license is provided by an organization and MATLAB is being installed for the first time on a PC. (2021-03-16 02:18:08 +0100)
bloatmode (1): Added instructions on how to download the license file and installation key if the license is provided by an organization and MATLAB is being installed for the first time on a PC.
README.md | 1 + 1 file changed, 1 insertion(+)
burger commented on 2021-03-16 01:38 (UTC)
You can get gcc8 binaries by adding the arch4edu repository.
silverbluep commented on 2021-03-07 22:58 (UTC)
gcc8 is required to compile mex files using native gcc. This is not a minimal package; if you don't want gcc integration, you can install matlab through other methods.
tornado99 commented on 2021-03-07 22:49 (UTC)
I ran this on an i7 desktop with 16GB RAM and it choked the machine trying to compile gcc8 for over an hour, but it did complete successfully. I then tried on a lower spec laptop and it aborted with gcc compile errors after about 20 minutes. Could you say what are the advantages of using gcc8? and if this could be made optional as otherwise users with lower spec machines could be waiting many hours just to get Matlab installed.
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