Showing 12 open source projects for "most"

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  • 1
    Pandas Profiling

    Pandas Profiling

    Create HTML profiling reports from pandas DataFrame objects

    ...The pandas df.describe() function is handy yet a little basic for exploratory data analysis. pandas-profiling extends pandas DataFrame with df.profile_report(), which automatically generates a standardized univariate and multivariate report for data understanding. High correlation warnings, based on different correlation metrics (Spearman, Pearson, Kendall, Cramér’s V, Phik). Most common categories (uppercase, lowercase, separator), scripts (Latin, Cyrillic) and blocks (ASCII, Cyrilic). File sizes, creation dates, dimensions, indication of truncated images and existance of EXIF metadata. Mostly global details about the dataset (number of records, number of variables, overall missigness and duplicates, memory footprint). ...
    Downloads: 2 This Week
    Last Update:
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  • 2
    StarRocks

    StarRocks

    StarRocks is a next-gen sub-second MPP database for full analytics

    ...Scale storage and computing power horizontally and support tens of thousands of concurrent users. All of your BI tools work with StarRocks through standard SQL. StarRocks provides superior performance. It is also a unified OLAP covering most data analytics scenarios.
    Downloads: 6 This Week
    Last Update:
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  • 3
    JavaParser

    JavaParser

    Java 1-17 Parser and Abstract Syntax Tree for Java

    This project contains a set of libraries implementing a Java 1.0 - Java 17 Parser with advanced analysis functionalities. The project binaries are available in Maven Central. We strongly advise users to adopt Maven, Gradle or another build system for their projects. If you are not familiar with them we suggest taking a look at the maven quickstart projects. Since Version 3.5.10, the JavaParser project includes the JavaSymbolSolver. While JavaParser generates an Abstract Syntax Tree,...
    Downloads: 4 This Week
    Last Update:
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  • 4
    .NET for Apache Spark

    .NET for Apache Spark

    A free, open-source, and cross-platform big data analytics framework

    .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. ...
    Downloads: 4 This Week
    Last Update:
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  • 5
    Enterprise Data Analytics

    Enterprise Data Analytics

    EDA is the most user friendly reporting tool

    EDA is the most user friendly reporting tool: It requires NO technical knowledge. 100% Descriptive information. Start-up in 10 minutes. View results easily. Explore the data for yourself. Automates the publication of information.
    Downloads: 0 This Week
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  • 6
    123VCF

    123VCF

    An Intuitive and Efficient Tool for VCF file filtration

    123VCF has been developed to make the filtration step of VCF files efficient and more importantly easy to understand. It can be used in the most important step of whole exome/genome sequencing data analysis in the research and also clinical settings. User manual: https://dl.adbioinformatics.net/123VCF/123VCF_Manual.ver2.pdf If you use 123VCF, please cite its paper: Eidi, M., Abdolalizadeh, S., Moeini, S. et al. 123VCF: an intuitive and efficient tool for filtering VCF files. ...
    Downloads: 8 This Week
    Last Update:
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  • 7
    GXSM

    GXSM

    Scanning Probe Microscopy Controller and Data Visualization Software

    ...Based on several hardware options it supports a commercially available DSP hardware and provided also Open Source Code for all the low level signal processing tasks and instrument controls in a most flexible and adaptable manner. All latest software is available via SVN only or Live Demo/Install CD: http://www.ventiotec.de/linux/GXSM-Linux.iso
    Downloads: 0 This Week
    Last Update:
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  • 8

    An introduction to Data Analysis in R

    A guide for learning the basic tools on data anaylisis with R

    ...We take into account the variety of fields where data analysis occurs nowadays. We pay special attention to the different ways to obtain data and how to make it manageable before starting the analysis. The data analysis includes most of the basic visualization options and some advanced extra options. Finally, basic statistics is used to learn from the processed data.
    Downloads: 0 This Week
    Last Update:
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  • 9

    miARma-Seq

    a A suite designed to study mRNAs, miRNAs and circRNAs

    miARma-Seq, which stands for miRNA-Seq And RNA-Seq Multiprocess Analysis, is a suite designed to study mRNAs, miRNAs and circRNAs. It is able to perform differential expression analysis, miRNA-mRNA target prediction and functional analysis among others. Most importantly, it can be applied to any sequenced organism, and it can be initiated at any step of the workflow. As a stand-alone tool, is both easy to install and extremely flexible in terms of its use. It brings together well-established software in a single bundle, allowing a complete analysis from raw data. All the capabilities can be easily and simultaneously enabled at will, regardless the step in the workflow.
    Downloads: 0 This Week
    Last Update:
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  • 10

    Canvas-2DGC

    A user-extensible Freemat based 1DGC and GCxGC data analysis software.

    ...The second goal is to provide a fast and practical way of customizing or extending functionalities by ordinary users through high-level Freemat scripting. Freemat, one of open source Matlab clones, is chosen for this very purpose, because its syntax is most compatible with Matlab and it is lightweight - very suited for ordinary users. Contact xguan@jnxtec.com for support.
    Downloads: 0 This Week
    Last Update:
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  • 11
    idealpy is a set of python routines and objects for dealing with astronomical data analysis. At its heart, it tries to reproduce most of the core features provided by the IDL Astronomy User's Library.
    Downloads: 0 This Week
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  • 12

    ThermV

    Comprehensive thermal analysis software package

    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.
    Downloads: 0 This Week
    Last Update:
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