Open Source Windows Data Analytics Tools

The goal of the Perl OBD-II Logger project is to create a flexible and efficient application that can capture and log OBD-II Mode 0x01 PID data from an automotive scantool. It is designed with accurate and efficient PID data logging in mind, and provides NO support for reading or resetting diagnostic trouble codes. By default, the output log file contains time-stamped PID values in a simple Comma Separated Values (CSV) format that can be readily imported into popular data analysis or spreadsheet applications. (Output to an SQLite3 database file is also available). It is written in Perl, so it runs in any computing environment with a working Perl interpreter. The program supports scantools that are based on the ELM Electronics ELM327 or OBD Solutions STN1110 programmed microcontrollers. It has been tested with scantools using legacy RS-232 serial, serial over USB, and Bluetooth hardware interfaces. Perl OBD-II Logger even runs on the popular Raspberry Pi computer!

Data Preprocessing Automation is a Python-based GUI application designed to simplify and automate data preprocessing tasks. It allows users to upload Excel files, automatically handle missing values, remove duplicates, and detect and remove outliers using statistical methods. The application provides data visualization tools, including box plots for distribution analysis and scatter plots for exploring relationships between variables. Users can download the processed data for further analysis. Built with Tkinter, Pandas, Matplotlib, and Seaborn, it ensures an intuitive interface and efficient performance. Additionally, it features a custom logo, a clean UI with a green-blue theme, and options for licensing and public release. This tool is ideal for data analysts, researchers, and professionals looking to automate preprocessing without coding. 🚀

This software is designed to help users visualize and analyze 3D point clouds with an associated real value, in a fast and flexible fashion. The primary use is in Atom Probe Tomography, which is an atomic imaging technique. However the program may also be useful in other areas, such as geospatial data, lidar, etc.

ThermV thermal analysis software package aims to provide the most sophisticated automatic analysis of thermal analysis data (TG/DTG, DTA and DSC). It offers new algorithm for concurrent peak deconvolution at different heating rates and provides full kinetic analysis of these data, including isoconversional methods for Ea, determination of reaction model and full kinetic triplet, Avrami coefficients, and dimensionality of crystal growth for reactions in the solid state. The project is currently in alpha stage, where individual modules will be provided for data analysis. The modules for peak deconvolution, peak profile analysis and determination of Ea and lnA will be provided first. Full GUI will be provided in beta stage. Due to computational limitations, the code is partly programmed in Python and partly in R. Python code will eventually be fully integrated into GUI. R code might remain standalone, although it will be integrated to a highest possible degree. Distributed under GPL

This simple Python API aims to provide a simple and easy to understand access to the discharge database of the GOLEM Tokamak. The scipy, numpy and matplotlib Python libraries are used for data analysis and plotting.

Advanced Online Surveys for a sophisticated market research and other kinds of professional data collection by using the world wide web. The potential for charmelionic data analysis and aquisition of additional data distinguishes it from other products.

BIL++ is a set of standalone C++ packages for data processing in Bioinformatics (Graph mining, Bayesian networks, Genetic algorithm, Discretization, Gene expression data analysis, Hypothesis testing).

The project would include the development of XUL, CSS and Javascript components to assist biologists in sequence manipulations, data mining, data analysis, etc.).

DbViz produces plots of data contained in MySQL databases. Data can be viewed by looking at line graphs, xy scatter plots, and bar graphs. This greatly simplifies data analysis.

The EDAM ENCHILADA - The Exploratory Data Analysis and Management Project's Environmental Chemistry Data Processing and Mining Application.

<This project has been completely rewrote and transformed into a new one: https://sourceforge.net/projects/deday/. 2013/06/26> The graphic user interface for DEDA (DEmography Data Analysis), a scientific software package fitting survivalship data to a number of distributions using maximum likelihood (ML) method. Currently, Weibull (2p), Gompertz and Gompertz-Makeham are supported. IMPORTANT NOTICE: Only the GUI is provided here. In order to perform the analysis, one also need the DEDA computation core program. Please email a request to me, entitled: 'Request for DEDA computation core', if you wish to have a copy.

IDA intelligence data analytics is an application framework for analysing intelligence data using php and javascript web application frameworks. The PHP framework is based on KohanaPHP and the Javascript framework is based on JQuery.

LMS Tools is a set of tools and libraries for administrators and users of learning management systems to perform, for example, portal integration, LMS management or usage data analysis.

A tool to support data-analysis on a Oracle-DB. In Greek mythology, Metis (Μῆτις) was of the Titan generation ... The Stoic commentators allegorized Metis as the embodiment of "wisdom" or "wise counsel" ... (from Wikipadia)

Pyphant is a framework for scientific data analysis. It features a flexible plugin architecture allowing for the application in many different fields. For the analysis a graph of processing steps is constructed, that can be applied via the cli as well.

This C++ lib is used and created to provide easy methods based on ROOT (a CERN data analysis framework). It was developed for use in practical courses but is not limited to. In addition it is ported step by step into Python.

Bioinformatics related demos and tutorials using the R programming language for large biological data. Licence: Creative Commons Attribution-NonCommercial 4.0 International License

The X-ray Strain Orientation Calculation Software (X-SOCS) is a user-friendly software, developed for automatic analysisof 5D sets of data recorded during continuous mapping measurements. X-SOCS aims at retrieving strain and tilt maps of nanostructures, films, surfaces or even embedded structures. For more information: http://scripts.iucr.org/cgi-bin/paper?S1600576714004506 To download the latest version of XSOCS (D. Naudet, T. Vincent, M.I. Richard, G. Chahine), follow the instruction in the following link: https://gitlab.esrf.fr/kmap/xsocs You can find on youtube video tutorials explaining the main steps to follow for a standard KMAP data analysis. In the folder XSOCS_tutorials_data of the Files tab, you can download the dataset used in the tutorials. Make sure to read the readme file.

The OpenGEREA is a open enrichment analysis framework for gene expression regulation data analysis.

A mini data CUBE to do some embedded data analysis and mining.

This library implements self-organizing neural networks, also called Kohonen Nets. They can be used for high dimensional data analysis. Example: content based image recognition ( CBIR ).

This project is a fork of the CERN Program Library is a large collection of general purpose libraries/ This program is oriented to needs of a physics laboratory that is general mathematics, data analysis, detectors simulation, data-handling etc... The project have moved and is alive at http://opencernlib.tuxfamily.org/

A GPR processer and viewer written in Python!

The pySpec project is a set of data analysis routines written in python for analysis of x-ray diffraction data produced by the SPEC X-Ray Diffraction and Data Acquisition software. This repo has moved to : https://github.com/stuwilkins/pyspec

xSonify is a Java-based sonification data analysis prototype for displaying science data as sounds, with an emphasis on supporting visually-impaired researchers. Alternatives include Sonification Sandbox <http://sonify.psych.gatech.edu/research/>, MathTrax and Earth Plus <http://prime.jsc.nasa.gov/>, Sonifyer <http://www.sonifyer.org> and SoniPy <http://sourceforge.net/projects/sonipy/>. More at the main forum for sonification, ICAD <http://icad.org>