Open Source Linux Data Analytics Tools - Page 4

PyNanoLab contains a variety of tools to complete the data analysis, statistics, curve fitting, and basic machine learning application. Visualization in pynanolab is based on matplotlib. The setup tools is desinged to control and set-up all the details of the figure with a GUI.

This project aims to develop open source psychometric data analysis software, including estimation software for Rasch and Item Response Theory (IRT) models for both dichotomous and polytomous test items.

ToscanaJ reimplements the classic interface for Formal Concept Analysis, a data analysis technique based on set theory.

xBCI platform is a platform for developing a BCI (Brain-computer interface) application including data analysis, online system, experiment control and feedback presentation. A BCI system is realized easily using GUI-based editor.

This is a Matlab software package for single molecule FRET data analysis.

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.

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

CIPPEX is database application to manage potato and sweetpotato field and lab experiments as part CIP's (International Potato Center) research informatics toolset. It has facilities to create field books and facilitate subsequent data analysis.

GSCope3 performs microarray data analysis to find correlations between BLSOM clusters and any form of omic knowledge expressed in OSML. Includes example metabolic pathway, gene ontology, genome position, transcription and PPI knowledge in OSML format.

HCS Analyzer is an open source software dedicated to High Content Screening data processing and analysis.

JProGraM (PRObabilistic GRAphical Models in Java) is a statistical machine learning library. It supports statistical modeling and data analysis along three main directions: (1) probabilistic graphical models (Bayesian networks, Markov random fields, dependency networks, hybrid random fields); (2) parametric, semiparametric, and nonparametric density estimation (Gaussian models, nonparanormal estimators, Parzen windows, Nadaraya-Watson estimator); (3) generative models for random networks (small-world, scale-free, exponential random graphs, Fiedler random fields), subgraph sampling algorithms (random walk, snowball, etc.), and spectral decomposition.

MathROOT is a tool for high-energy physicists to access the ROOT data analysis framework from within Mathematica

A set of Matlab functions which compute effect size statistics and (exact) confidence intervals for a wide range of data analysis situations, including two-sample-, oneway-, twoway- and contrast analyses as well as categorical data in tables.

PINCIS.pl (PIcs N-/C-terminal Inferred Substrates perl script) is a small, command line tool to designate and analyze PICS (Schilling et al., Nat. Protocols, 2011) data to gain the prime and non-prime site specificity of proteases. Thus, the script filters given peptide lists for library peptides (generated by the digestion protease in the proteomics workflow rather then the protease of interest) and prints out lists of inferred N- and C-terminal cleavage window extensions which can be concurrently used to generate cleavage specificity visualizations like the iceLogo (https://iomics.ugent.be/icelogoserver/create).

Pinasi v1.15 Pinasi is a data processing application, which is used to input, process and output data. some examples of input are text, numbers, files, dates and others some examples of the process are mathematical. some examples of output are tables, graphs, pivots, and others. Pinasi is licensed under CC BY-NC 4.0. and created with NWjs. NW.js is an app runtime based on Chromium and node.js. You can write native apps in HTML and JavaScript with NW.js. It also lets you call Node.js modules directly from the DOM and enables a new way of writing native applications with all Web technologies. It was created in the Intel Open Source Technology Center. NW.js has a Mit License here is the NW.js link -https://github.com/nwjs/nw.js -https://nwjs.io/ [NOTE: there may be information about updates, promos or advertisements in the application.]

PsiLAB is an environment for scientific research, numerical calculations and generic data analysis. It's written in the functional language O'CaML.

Data evaluation tool for the magnetism reflectometer at the spallation neutron source (BL-4A@SNS). Reads raw nexus files (HDF5) of histogrammed or event mode data to create reflectivity curves and 2D Q-maps.

The purpose of the SCiDA Pro program is to help with processing solar cell production data. It has the following features: - Able to handle large data sets in a fast way (e.g. plotting 100k cell data takes a few seconds) - Easy data filtering - Easy generation of a data summary report - Extensive data plotting features - Cross-platform (Windows/Linux/MacOS) - Supports multiple languages

Please contact the authors by sending a message (via https://sourceforge.net/users/rmhuizenga). We will be glad to send you the programs.

PAScual is a data analysis suite for Positron Annihilation Lifetime Spectroscopy (PALS).

DocWire SDK, a standout C++17/20 data processing tool, has received award from SourceForge and strong backing from Microsoft. It handles nearly 100 file types, empowering efficient text extraction, web data extraction, and document analysis. The upcoming integration of C++17 and C++20 will bring advanced functionalities, particularly in areas like HTTP capabilities and web data extraction. For businesses, the shift to DocWire SDK signifies a leap forward. It promises comprehensive document format support and the ability to extract valuable insights from email boxes, databases, and websites using cutting-edge AI. DocWire SDK aims to expand its capabilities, focusing on versatile data extraction, platform support, and seamless integration with various systems. DocWire SDK is dedicated to streamlining data processing, reducing development time and costs, and harnessing the potential of AI. Its advancements promise a superior experience compared to its predecessor, DocToText.

This project provides a downloadable Ubuntu Linux appliance (virtual machine) consisting of Zabbix and ELK (Elasticsearch, Logstash, Kibana). The intention of this project is to help you get started with collecting performance metrics from your applications and underlying infrastructure. The tools provided help perform infrastructure monitoring, machine data analysis and log file analysis using Open Source software packaged within a Ubuntu Linux Virtual machine. This appliance is also provided to help users of VisualizeIT to collect relevant application & infrastructure performance metrics for purposes of visualization, modelling and forecasting. VisualizeIT offers access to a bunch of Analytical Models, Statistical Models and Simulation models.You can access the VisualizeIT website at www.visualize-it.co and the VisualizeIT modelling solution here http://useradmin.visualize-it.co. Read this to get started - http://community.visualize-it.co/knowledgebase/zabbix-elk-in-a-box/

.NET for Apache Spark provides high-performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write .NET code allowing you to reuse all the knowledge, skills, code, and libraries you already have as a .NET developer. .NET for Apache Spark runs on Windows, Linux, and macOS using .NET Core, or Windows using .NET Framework. It also runs on all major cloud providers including Azure HDInsight Spark, Amazon EMR Spark, AWS & Azure Databricks.

The 2P_Tools.jar is a series of hopefully useful Fiji Plugins to evaluate data acquired by two-photon imaging. It supports multiple features like conversion to normalized image stacks, preprocessing and image segmentation.

We actively respond to the Research Open Source Initiative (DOCX) . Open source today is not just open source, but datasets, models, tutorials, and experimental records. We are also exploring other categories of open source solutions and protocols. I hope you will understand this initiative, combine this initiative with your own interests, and do what you can. Everyone's tiny contributions, together, are the entire open source ecosystem. We are iBooker, a large open-source community, we-media, and online earning community, with a QQ group of more than 10,000 people and at least 10,000 subscribers. The number of Github Stars exceeds 60k, and it ranks in the top 100 of all Github organizations. The daily up of all its websites exceeds 4k, and the peak of Alexa ranking is 20k. Our core members are certified as CSDN blog experts and short-book programmers as excellent authors. We have established ApacheCN, a non-profit document, and tutorial translation project.