Open Source ChromeOS Data Analytics Tools

SciDAVis is a user-friendly data analysis and visualization program primarily aimed at high-quality plotting of scientific data. It strives to combine an intuitive, easy-to-use graphical user interface with powerful features such as Python scriptability.

Apache Doris is a modern MPP analytical database product. It can provide sub-second queries and efficient real-time data analysis. With it's distributed architecture, up to 10PB level datasets will be well supported and easy to operate. Apache Doris can meet various data analysis demands, including history data reports, real-time data analysis, interactive data analysis, and exploratory data analysis. Make your data analysis easier! Support standard SQL language, compatible with MySQL protocol. The main advantages of Doris are the simplicity (of developing, deploying and using) and meeting many data serving requirements in a single system. Doris mainly integrates the technology of Google Mesa and Apache Impala, and it is based on a column-oriented storage engine and can communicate by MySQL client.

QtiPlot is a user-friendly, platform independent data analysis and visualization application similar to the non-free Windows program Origin.

Programa multiplataforma de libre distribución para el análisis estadístico y epidemiológico de datos. Free distribution cross-platform program for statistical and epidemiological analysis of data. Sitio web: http://www.sergas.es/Saude-publica/EPIDAT Souceforge: https://sourceforge.net/projects/epidat/ Wikipedia: https://es.wikipedia.org/wiki/Epidat

log4jscanner is a filesystem scanner and Go package that helps organizations quickly identify vulnerable Log4j components inside JARs and shaded dependencies. Instead of probing networks, it walks directories and archives, including nested JARs, to find version fingerprints and risky classes associated with the Log4Shell family of issues. The focus on static analysis makes it suitable for container images, build artifacts, and offline systems where active scanning isn’t feasible. Clear, machine-readable output allows the tool to plug into CI/CD checks and fleet-wide inventory jobs. For responders, it reduces time-to-visibility by surfacing exactly which paths and bundles require patching or remediation. It’s a pragmatic addition to defense-in-depth programs that need verifiable evidence of exposure without deploying agents.

DataMelt (or "DMelt") is an environment for numeric computation, data analysis, computational statistics, and data visualization. This Java multiplatform program is integrated with several scripting languages such as Jython (Python), Groovy, JRuby, BeanShell. DMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear and symbolic regression are also available. Neural networks and various data-manipulation methods are integrated using powerful Java API. Elements of symbolic computations using Octave/Matlab scripting are supported.

ProteoWizard development moved to GitHub in 2018. The ProteoWizard Library is a set of software libraries and tools for rapid development of proteomics data analysis software. The libraries are cross-platform and built from the ground up using modern C++ techniques.

LaueTools is an open-source project for white beam Laue x-ray microdiffraction data analysis including tools in image processing, peaks searching & indexing, crystal structure solving (orientation & strain) and data & grain mapping visualisation. Python 3 Code and new features are now at: https://gitlab.esrf.fr/micha/lauetools

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.

This is a sophisticated & integrated simulation and analysis environment for dynamical systems models of physical systems (ODEs, DAEs, maps, and hybrid systems). It supports symbolic math, optimization, continuation, data analysis, biological apps...

PAIDA is pure Python scientific analysis package and supports AIDA (Abstract Interfaces for Data Analysis). PAIDA can create/plot histograms and functions etc. The parameter optimization and its error evaluation are also supported. Can use with Jython!

The Integrated Analysis Platform (IAP) has been designed and developed to support the analysis of large-scale image data sets of different camera systems. It aims in bridging different data domains and in integrating different approaches to data analysis and post-processing.

Open2Dprot is an open-source proteomics project for the development of bioinformatic tools for n-dimensional protein expression data analysis of quantified protein expression across multiple samples from research experiments.

mzMatch is a Java collection of small commandline tools specific for metabolomics MS data analysis. The tools are built on top of the PeakML core library, providing mass spectrometry specific functionality and access to the PeakML file format.

EChem++ is a software system based on an object oriented approach to electrochemical experimentation, simulation, and data analysis. Currently, development emphasis lies on the modelling and simulation as well as the analysis modules.

SADSA (Software Application for Data Science and Analytics) is a Python-based desktop application designed to simplify statistical analysis, machine learning, and data visualization for students, researchers, and data professionals. Built using Python for the GUI, SADSA provides a menu-driven interface for handling datasets, applying transformations, running advanced statistical tests, machine learning algorithms, and generating insightful plots — all without writing code.

GEDAS is a software to perform microarray data analysis with friendly user interface and convenient data display. Currently some commonly used data clustering algorithms have been implemented in this software.

SODA is short for School Online Data Analysis. The project's aim is to simplify the process of undertaking meaningful data analysis at both the departmental and whole school curriculum levels.

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.

Ahoy is a first-party analytics library built primarily for Ruby on Rails, designed to let applications track visits and events in a clean, integrated way rather than relying on third-party tooling. It stores data in your own database by default, which gives developers full control over what data is captured, how it's processed, and how it’s used, sidestepping privacy concerns of external analytics providers. The library supports Rails, JavaScript, and native apps, making it flexible across front-end/back-end and mobile contexts. Because it’s designed for developers who already own their data stack, Ahoy encourages self-hosted analytics workflows, custom reporting, and integration with existing database infrastructure. It includes features for tracking visits (sessions), events (actions), and user properties, so you can introspect user journeys and behaviour within your application domain.

BIRBU (BIological Relationship BUilder) is a Java tool for microarray gene expression data analysis. BIRBU identifies biologically significant relationship between genes using microarray data and prior knowledge on relationships between genes.

A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.

The Canopy project is an initiative to merge and expand the functionality of Perl-speaks-NONMEM (PsN), Census, Xpose and PopED. The goal is to produce a coherent, inclusive and convenient platform for pharmacometric data analysis.

Census is a comprehensive cross-platform project manager and integration hub for NONMEM, the gold standard tool for model-based pharmacometric data analysis.

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