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Java science library. Project contains modules for physics units, particle and quantum physics, molecule, chemistry and universe definitions, also additional math classes.
Analysis and display software targeted at space physics data.
Installation instructions are at the bottom of the FILES directory.
See documentation at https://qsas.sourceforge.io/QSAShelp/QSAS_help_index.html
See also QSAS_Intro_June2018.pptx under FILES
Contact: qsassupp@gmail.com
E-Mail lists:
qsas-users@lists.sourceforge.net
qsas-discuss@lists.sourceforge.net
SITools2 is a new CNES generic tool performed by a joint effort between CNES and scientific laboratories. The aim of SITools is to provide a self-manageable data access layer deployed on already existing scientific laboratory databases.
Java program for computations with values expressed in terms of physical or other units. Supports complicated mathematical expressions and user-defined functions. Invoked from scripts, line command, or as GUI. Extensive units data base.
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Better than NASA--avoid sending *your* Mars probe off to empty space! SafeUnits is a Java-based project providing measurement-related classes whose instances, when exported, can only be imported to classes of matching types.
NASA, just a friendly jibe
Ksetiwatch monitors multiple SETI@home clients running on your computer or in your local network, and logs/manages completed work units. It is developed for the K Desktop Environment.
lin-seti is a command-line program allowing to mantain a cache of work units for the Seti@Home client. Written in C, it should run on most unix-like systems, including linux. It is designed to be cache-compatible with 'Seti Driver' for Windows.
A bash script that allows Seti @ Home users to queue up and process multiple work units. This means you don't have to connect to the seti servers after every work unit, and only when you want to.
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
Improving the speed of the signal analysis code for Seti@home. Leveraging modern processors advanced features such as SIMD and parallel execution units, as well as identifying better methods to code existing functions.