Open Source Python Scientific/Engineering Software

Berlin/Bavarian Elektrotrom Cargo Concept Solver (BECCS) is a submission to the 2008 Informaticup Contest. It's a Web Application that constructs a euclidian steiner tree.

This project is UI to guide the user through the steps of home brewing. Each beer has a recipe of ingredients, but it also has a “recipe” for the process to make the beer. This app allows you to load a recipe (BeerXML), guide you through the brewing steps and record any details so that you can improve next time. By default, this app relies on user inputs and feedback from the real-world. There are easy hooks to a link up a real system, so that if you wanted to automate some of the input and feedback it could be possible (ex. read temperature from sensor. Turn heat source on/off). This project uses the free Maker Edition of the Ignition platform. https://inductiveautomation.com/ignition/maker-edition Sierra Nevada and Stone Brewery use the (paid) Ignition platform. https://inductiveautomation.com/resources/casestudy/ignition-system-meets-all-user-requests https://inductiveautomation.com/resources/casestudy/brewery-improves-efficiency-in-multiple-areas-with-ignition

ConDEnSE (Confidential Data Enabled Statistical Exploration) will be a web-based environment for statistical analysis of confidential data from various database sources, based on Plone and R, and using the Jackknife method of confidentiality protection.

Math tools in Python to tackle down problems in Operational Research fields. Comes with a Django based web interface to allow remote access to complex simulation means.

full snapshots of CRYSFML code and parts of SXTALSOFT code

This software presents a flexible and configurable proposal for monitoring and management of real and virtual HPC infrastructures, compatible with paradigm of cloud computing. We help you to answer: 1) What is the performance of my resources? 2) What equipment and resources do we have already? 3) What do we need to upgrade or repair? 4) What can we consolidate to reduce complexity or reduce energy use? 5) What resources would be better reused somewhere else? Status: PreAlpha, so any help shall be welcome. Made for LINUX. GNU General Public License version 3.0 (GPLv3)