Java Data Analytics Tools

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Browse free open source Java Data Analytics Tools and projects below. Use the toggles on the left to filter open source Java Data Analytics Tools by OS, license, language, programming language, and project status.

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  • 1
    DSTK - DataScience ToolKit

    DSTK - DataScience ToolKit

    DSTK - DataScience ToolKit for All of Us

    DSTK - DataScience ToolKit is an opensource free software for statistical analysis, data visualization, text analysis, and predictive analytics. Newer version and smaller file size can be found at: https://sourceforge.net/projects/dstk3/ It is designed to be straight forward and easy to use, and familar to SPSS user. While JASP offers more statistical features, DSTK tends to be a broad solution workbench, including text analysis and predictive analytics features. Of course you may specify JASP for advanced data editing and RapidMiner for advanced prediction modeling. DSTK is written in C#, Java and Python to interface with R, NLTK, and Weka. It can be expanded with plugins using R Scripts. We have also created plugins for more statistical functions, and Big Data Analytics with Microsoft Azure HDInsights (Spark Server) with Livy. License: R, RStudio, NLTK, SciPy, SKLearn, MatPlotLib, Weka, ... each has their own licenses.
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  • 2
    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.
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  • 3
    The EDAM ENCHILADA - The Exploratory Data Analysis and Management Project's Environmental Chemistry Data Processing and Mining Application.
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  • 4
    A framework for image analysis and data analysis, aimed towards microscopy and the needs of current research.
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  • 5
    EDAS2 is a web-based environmental quality data management and decision support framework
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  • 6
    EyeMap - Eye Movement Data Analyzer
    EyeMap is a visualization and analysis tool for text reading eye movement data. It can process Unicode, proportion/non-proportion and spaced/unspaced reading materials, which supports various languages and experiment methods.
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  • 7
    GRAIL Real Time Location Service (RTLS)
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  • 8
    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.
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  • 9
    GmanDA is a GPL software for performing qualitative data analysis on mailing-lists and mboxes. It was developed to ease the work with large scale mailing-list archives taken from Gmane.org
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  • 10

    Gurmi - Real time data aggregation

    Real time data aggregation, analysis GUI Tool

    Gurmi project is an aggregate of data analysis tools. Will collect and analyze data in real-time output from the various types of equipment that shows the various forms of visulization. Gurmi project goal of the data collection, analysis, output is easy to use.
    Downloads: 0 This Week
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  • 11

    HEIMDALL

    High-End Interface for Monitoring & spatial Data Analysis using L2Norm

    HEIMDALL, short for High-End Interface for Monitoring and spatial Data Analysis using L2-Norm, is a set of public libraries written in JAVA which contains routines and algorithms for geodetic hardware connection. To observe objects (in general spatial points) continuous, HEIMDALL’s programmable logic arrays can be used to design monitoring systems. For data analysis an interface to the least-squares program JAG3D can be provided. The serial communication with e.g. inclination sensors, meteorological stations or total stations is handled by the library RXTX. If only a proprietary communication via dynamic-link library (dll are not shared by the project) is supported by the devices, JNA is resorted. Notice, HEIMDALL is not a stand-alone monitoring application. It is only a set of libraries.
    Downloads: 0 This Week
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  • 12

    HadStat

    HadStat is service on cloud,for data analysis using Hadoop MapReduce.

    HadStat is service on the cloud, allow you to analysis the data on the cloud and return the result in nice graph,this service is free, you can redistribute it and/or modify it under the terms of the GNU General Public License. this service using many technologies , like Hadoop mapreduce, HTML, PHP, Web Service applications, linux server, java, eclipse IDE, with many indicators:Simple moving average (SMA),Exponential moving average (EMA),Smoothed simple moving average (SMMA),Linear weighted moving average (LWMA )on DATA from NYSE daily prices.....
    Downloads: 0 This Week
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  • 13
    IoTDB

    IoTDB

    Apache IoTDB

    Apache IoTDB (Database for Internet of Things) is an IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. Due to its light-weight architecture, high performance and rich feature set together with its deep integration with Apache Hadoop, Spark and Flink, Apache IoTDB can meet the requirements of massive data storage, high-speed data ingestion and complex data analysis in the IoT industrial fields. In the scene of factories, there are tens of devices under LAN network. IoTDB can be installed on a local controller server in the factory to receive data from those devices. The local controller server (normal PC or workstation) with IoTDB can provide the ability to persist data and query data with SQL-like interface. In addition, with TsFile-Sync tool, TsFiles on the local controller can be transmitted to the data center equipped with IoTDB instance in the cloud.
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  • 14
    JNeuron is an analysis tool for multi-neuronal spike train analysis. The tool will allow scientists to organize their spike train data analysis into projects. The tool will implement standard spike train analysis algorithms and also datamining algorithms
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  • 15
    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.
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  • 16
    KeplerDB

    KeplerDB

    Timeseries databases management system

    KeplerDB is a temporal database to store time/value entries where the type of value could be integer, float/double, boolean and string. KeplerDB is dedicated to be scalable and to create clusters of server allowing the user to analyse and store massing amount of data to monitor systems like computers, clusters, building and captors or financial systems like markets and accounts. The user can use KeplerDB to make data analysis on enormous amount of data (statistics and modelling).
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  • 17

    Lab Processes

    Rediscover the Simplicity http://www.atgclabs.com/

    Help us to improve Lab Processes. We want to hear your feedback! Request new Lab Processes feature or module and receive a free Single User version with new feature. https://www.atgclabs.com/products/lp Lab Processes is a comprehensive and straightforward application specially designed for biologists and chemists who need to conduct a wide variety of tests and experiments on animals. Lab Processes requires minimal computing skills. Genetic and physiological data can be entered either manually or automatically when automated genotyping and analytical phenotypic assays are used. The Lab Processes application is web-based and completely customizable, with Animal Studies it is very simple to create, change and distribute data flows using an iterative approach. Animal Studies puts all the information right at your fingertips. If you are experiencing problems using Lab Processes then please report your problem to support@atgclabs.com
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  • 18

    MTTK Open BI

    A user-friendly lightweight BI tool.

    A user-friendly lightweight BI tool. It is a set of plugins of MTTK Lowcode Engine, so the user manual and develop manual are combined together with MTTK Low Code Engine. Code repository: https://github.com/jamie-mttk/mttk-lowcode-designer Online demo available at http://139.129.210.30:8825 (First visit may be slow) Username: admin Password: 123456 Lightweight No data processing engine offered, all the data processing depends on the target Databse Server. Easy to use For example ,to build an echart need to provide many many configurtaions/options, such as title location, grid position,etc. To simplified the usage ,only the important options should be configured by user with default setting, other options are set by BI system automatically.
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  • 19
    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.
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  • 20
    Mass-Up

    Mass-Up

    MALDI-TOF data analysis tool

    Mass-Up is an Open-Source mass spectrometry utility for proteomics designed to support the preprocessing and analysis of MALDI-TOF mass spectrometry data. Mass-Up includes several tools and operations to load, preprocess and analyze MALDI-TOF data.
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  • 21
    Comprehensive device automation and data analysis framework
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  • 22
    Open Cezeri Library

    Open Cezeri Library

    Effective Linear Algebra and Computer Vision Library with JAVA

    OCL stands for Open Cezeri Library (yet another linear algebra and matrix library). This library provides rapid coding as matlab ease of use. To learn for library please try to use test examples at OpenCezeriLibrary\test\test. It is originally developed at el-cezeri laboratory of Siirt University, in order to establish generic framework of reusable components and software tools for machine vision, machine learning, AI and robotic applications. Currently, it holds following main concepts 1- Vision: It can access web cams, imaging source industrial cameras for manuel settings and advanced issues. Studies on accesing Leapmotion and Kinect is still under-development. 2- Machine learning: It uses Weka Software tool and some personel coded ML algorithms 3- CMatrix: Special matrix library called as CMatrix meaning Cezeri Maztrix Class. Actually it is regarded as the core of the OCL. CMatrix supports fluent interface and method chaining.
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  • 23
    Free Tool for qualitative data analysis.
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  • 24

    PL-DAS

    Port Logistics Data Analysis System using Process Mining

    This project is for analyzing operational data from container terminal, applying process mining and port logistics domain knowledge. This project is found by Total Soft Bank, Ltd. and Busan National University, based on ProM framework (http://www.promtools.org) which is also an open source project. This project is sponsored by NIPA (National IT Industry Promotion Agency), Korea.
    Downloads: 0 This Week
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  • 25
    PMM-Lab

    PMM-Lab

    Predictive Microbial Modeling plug-in for KNIME

    PMM-Lab is an open-source extension to the Konstanz Information Miner (KNIME). It consists of three components: • a library of KNIME nodes (called PMM-Lab), • a library of “standard” workflows • an HSQL database.to store experimental data and microbial models. Altogether these components are designed to ease and standardize the statistical analysis of experimental microbial data and the development of predictive microbial models (PMM). Users can apply PMM-Lab to proprietary or public data and create bacterial growth / survival / inactivation models. The framework can easily be extended to other model types, e.g. growth/no-growth boundary models. PMM-Lab has been initiated and provided by the Federal Institute for Risk Assessment - BfR (Berlin, Germany). The software is in Beta status. Before using the software you have to read and accept the license and disclaimer (https://sourceforge.net/p/pmmlab/wiki/Disclaimer/). If you do not agree, do not use this software.
    Downloads: 0 This Week
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