Data Analytics Tools

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  • $300 Free Credits for Your Google Cloud Projects Icon
    $300 Free Credits for Your Google Cloud Projects

    Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.

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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

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  • 1

    MqlControl

    Program for FOREX data analysis

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  • 2
    Mundo-Bioq permit to collect patient data, analysis data, and accounting of laboratory data. It's focused to small laboratories that speak spanish. It's developed in FoxPro/DOS and run in in DOS, but also can run in Linux (under DOSEMU), and any Win
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  • 3
    This project is aimed at being able to log information from a NMEA gps in the back ground for later data analysis. It also has the ability to convert the raw log data into a Google Earth KML file for viewing.
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  • 4
    Comprehensive device automation and data analysis framework
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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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  • 5
    Open Source Development of (SmartGrid) Data Analysis Platform based on OpenPDC and Cloud Computing Technology. * Source Codes - http://nephee.sourceforge.net, Main Project (Info, Planning, News) , http://nephee.or.kr, http://twitter.com/nepheer
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  • 6

    Novel Insight Scoring

    Novel Insight Scoring is analytics software for scoring customers

    Novel Insight Scoring is analytical CRM software for automatically scoring customers given example (scored) data. The user of the software can set optimization time and adjust risk level (pessimistic, neutral or optimistic scoring) and score new customers without detailed knowledge about data analysis and machine learning methods. The scoring results are stored in a CSV file for further processing and importing to databases etc.
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  • 7
    Novembre

    Novembre

    STM data analysis

    A tool for visualisation and analysis of STM and STS results. Currently supports RHK, WinSPM, Nanonis and Createc file formats. Other formats can be added. Tools are made available by plugins and are currently focused on spectroscopy manipulation.
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  • 8
    OME-3DR

    OME-3DR

    3D cell reconstruction and quantitative analysis based on OME data

    For big OME data analysis, we integrate commonly used quantitative methods, describe our novel strategies to quantify and analyze biological markers related to the cell or organelle spatial-coordinate model, and present open-source OME-3-Dimensional Reconstruction (OME-3DR), a flexible, programmable and batch-oriented tool based on OME data, for reconstructing 3-dimensional (3D) spatial conformations and conducting further analyses, such as the identification, counting, localization and tracking of bio-imaging markers, calculation of model-contour parameters for association analyses, establishing spatial-coordinate system, 3D co-localization analyses and so on. OME-3DR is well modularized (for automation, three main menus integrate hundreds of sub-functions), easy to use and ingenious; indeed, after setting the corresponding parameters, batch processing is relatively straightforward when beginning the 3D model reconstruction...
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  • 9
    Framework for text mining, data integration and data analysis. Keywords: ontology and graph alignment, relation mining, warehouse, semantic database integration, bioinformatics, systems biology, microarray, Java.
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  • Build Securely on Azure with Proven Frameworks Icon
    Build Securely on Azure with Proven Frameworks

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  • 10
    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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  • 11
    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.
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  • 12

    OpenData

    Open source coronavirus 2019 sample application using open data

    Open source software using open data with template code to demonstrate getting open government data such as the coronavirus 2019 (COVID-19). It takes data in feed format such as CSV, JSON, etc. to process maps, pie charts, line/bar graphs, HTML table that can be copied and pasted to spreadsheets such as Excel. The purpose is to provide template code to access open data readily available from official government websites useful for regional data analysis, latest information at a glance with data visualisation, etc. Sample includes region like Australia, Austria, Belgium, Brazil, Canada, Chile, Czechia, Denmark, Estonia, Europe, Finland, France, Germany, Greece, Hong Kong, Iceland, Indonesia, Ireland, Israel, Italy, Japan, Luxembourg, Macau, Malaysia, Netherlands, Norway, Korea, Philippines, Poland,Portugal,Qatar,Romania,Saudi Arabia,Singapore,Slovenia,Spain,Sweden,Switzerland,Taiwan,Thailand,United Kingdom,United States of America,etc. with various data such as face mask maps, and more.
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  • 13
    Free Tool for qualitative data analysis.
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  • 14

    OptiMIClass

    Automatic n-dimensional data clustering tool powered by five advanced

    This software is an automatic n-dimensional quantitative data clustering tool based on five optimization heuristics (GA, PSO, ACO, SA, and TS). It enables performance comparisons across heuristics and parameter testing within each method, analyzing solution quality, runtime, and convergence; it also includes a repository of benchmark test tables and an intuitive interface for research and operational use. It was developed by M.Sc. Jeffry Chavarría-Molina and M.Sc. Juan José Fallas-Monge at the Instituto Tecnológico de Costa Rica (TEC), School of Mathematics, with support from the Vice-Rectory for Research and Extension (VIE). The software was a direct outcome of “Combinatorial optimization heuristics for data classification” (Code: 5402-1440-3901), and its development continued within the related project “Disease propagation: heuristics applied to optimizing control measures” (Code: 540114404201).
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  • 15

    PBEN_code

    codes for data analysis in python

    Collection of python codes for data analysis
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  • 16

    PINCIS

    PINCIS.pl is a Perl bioinf. script to analyze PICS data

    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).
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  • 17

    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.
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  • 18
    POCO

    POCO

    Cross-platform C++ libraries for building network applications

    The POCO C++ Libraries are powerful cross-platform C++ libraries for building network- and internet-based applications that run on desktop, server, mobile, IoT, and embedded systems. Whether building automation systems, industrial automation, IoT platforms, air traffic management systems, enterprise IT application and infrastructure management, security and network analytics, automotive infotainment and telematics, financial or healthcare, C++ developers have been trusting the POCO C++ Libraries for 15+ years and deployed it in millions of devices. Create software for connected embedded devices running Linux, Windows Embedded or QNX. Create cross-platform backends in C++ for iOS and Android applications and combine it with a native or HTML5-based user interface. Create software for IoT devices that talk to cloud backends over HTTP REST APIs. See macchina.io for an IoT platform built with POCO.
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  • 19

    PRADA

    PRADA : Pipeline for RNA-Sequencing Data Analysis

    Massively parallel sequencing of cDNA reverse transcribed from RNA (RNASeq) provides an accurate estimate of the quantity and composition of mRNAs. To characterize the transcriptome through the analysis of RNA-seq data, we developed PRADA. PRADA focuses on the processing and analysis of gene expression estimates, supervised and unsupervised gene fusion identification, and supervised intragenic deletion identification. PRADA currently supports 7 modules to process and identify abnormalities from RNAseq data: preprocess: Generates aligned and recalibrated BAM files. expression: Generates gene expression (RPKM) and quality metrics. fusion: Identifies candidate gene fusions. guess-ft: Supervised search for fusion transcripts. guess-if: Supervised search for intragenic fusions. homology: Calculates homology between given two genes. frame: Predicts functional consequence of fusion transcript
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  • 20
    The Physics eXtension Library (PXL) is a C++ toolkit for fourvector analysis and hypothesis evolution in high energy physics data analysis.
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  • 21
    Parallel Colt is a multithreaded version of Colt - a library for high performance scientific computing in Java. It contains efficient algorithms for data analysis, linear algebra, multi-dimensional arrays, Fourier transforms, statistics and histogramming
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  • 22
    Pathomx

    Pathomx

    Workflow-based data analysis built on IPython

    Pathomx is a workflow-based tool for the analysis and visualisation of experimental data. Initially created as a tool for metabolomic data analysis is has been extended and can now be used for any scientific and non-scientific data analysis.
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  • 23
    PivotTable.js

    PivotTable.js

    Open-source Javascript Pivot Table

    PivotTable.js is a powerful JS library (originally CoffeeScript) that brings Excel-style pivot tables to the browser. Built atop jQuery and jQueryUI, it allows users to drag and drop fields into rows, columns, and aggregators to slice and summarize datasets. It also integrates with Python and R via modules like pivottablejs, making it versatile for data analysis across platforms.
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  • 24
    Poli

    Poli

    An easy-to-use BI server built for SQL lovers. Power data analysis

    An easy-to-use BI server built for SQL lovers. Power data analysis in SQL and gain faster business insights. Platform independent web application. Single JAR file + Single SQLite DB file. Get up and running in 5 minutes. PostgreSQL, Oracle, SQL Server, MySQL, Elasticsearch... You name it. No ETLs, no generated SQL, polish your own SQL query to transform data. Pixel-perfect positioning + Drag'n'Drop support to customize the reports and charts in your own way. Utilize the power of dynamic SQL with query variables to connect Filters and Charts. Capture the snapshot of historical data. Free up space in your own database. Three system level role configurations + Group based report access control. Custom the language pack and translations just for your audience. Auto refresh, drill through, fullscreen, embeds, color themes + more features in development.
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  • 25
    PyNanoLab

    PyNanoLab

    data analysis and Visualization with matplotlib

    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.
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