News

Jupyter scilab-kernel 0.10.0 has been released.

Developed by Dassault Systèmes and the community, a new release of Jupyter scilab-kernel is available. It fixes various issues and works with all recent Scilab versions. You can download it from Pypi. Happy notebook coding!

Scilab 2024.0.0 has been released.

Dear fellow users, We have the pleasure to announce the release of the new version of Scilab. Check here to download and find more details about Scilab 2024.0.0. Wishing you a great journey in Scilab! Scilab Team

Scilab 2023.1.0 has been released.

Dear fellow users, We have the pleasure to announce the release of the new version of Scilab. Check here to download and find more details about Scilab 2023.1.0. Wishing you a great journey in Scilab! Scilab Team

Scilab 2023.0.0 has been released.

Dear fellow users, We have the pleasure to announce the release of the new version of Scilab. Check here to download and find more details about Scilab 2023.0.0. Wishing you a great journey in Scilab! Scilab Team

Scilab 6.1.1 has been released.

Dear fellow users, We have the pleasure to announce the release of the new version of Scilab. Check here to download and find more details about Scilab 6.1.1. Wishing you a great journey in Scilab! Scilab Team

[FUI-25] MORDICUS

Standard process for non-intrusive Model Order Reduction Systems become more and more complex and Model Order Reduction is one elegant way to keep leveraging Finite Element Analysis in time-demanding process. In France, a consortium (MECASIF, MORDICUS) has been built to tackle some of the most recurrent challenges when speaking about Model Order Reduction. ESI is proud to be part of this pool of Model Order Reduction experts. Goal of the project The [FUI-25] MORDICUS project has started end of 2018 and follows what has been done in the previous [FUI-15] MECASIF project and aims at: Propo

March 2021: IIT Bombay Workshop

Empower your students From March 4th to 6th, the FOSSEE Project team from IIT Bombay will be leading a workshop around Scilab. Content In this workshop you will be provided with spoken tutorials, side by side learning and live lecture. Practice problems will also be provided to challenge your gained knowledge. Some of the most widespread problematics will be adressed: Learn to write functions in scilab Learn to create and simulate Xcos models Learn to build an interactive GUI Stakeholders Prof. Kannan Moudgalya, Faculty, Chemical Engineering, IIT Bombay Prof. Madhu Belur, Faculty,

Web tools in Scilab 6.1

Leverage the new functions for server communication, based on the well known web protocol HTTPS: GET to simply get data from remote location POST to exchange data with the server through the request  It enables seemless exchanges with remote servers, by connecting to their API (i.e. the interface they provide to the outside). Thus connecting directly to their data layer, through exchange standards such as JSON (with the functions fromJSON and toJSON).

Internet Of Things with Scilab 6.1

Find out about exciting new applications enabled by Scilab 6.1, thanks to the brand new web tools: Watch this video from our partners ByteCode, and read the tutorial. to deploy your own IoT app. Download and test the IoT toolbox for Scilab 6.1: https://atoms.scilab.org/toolboxes/bytecode_iot_module/2.0.1 --> atomsInstall("bytecode_iot_module")

Data import in Scilab 6.1

A wizard has been added in the new version to facilitate the import of data coming from .txt & .csv files --> uiSpreadsheet It provides an interface on the csvRead function to facilitate the entry of arguments such as separator, decimal, conversion, header.