Showing 5 open source projects for "data analysis and visualizing"

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  • 1
    ShellCheck

    ShellCheck

    A static analysis tool for shell scripts

    ShellCheck is a GPLv3 tool that provides warnings and possible suggestions for bash/sh shell scripts. ShellCheck finds bugs in your shell scripts. You can cabal, apt, dnf, pkg or brew install it locally right now. ShellCheck highlights and clarifies typical beginner's syntax mistakes and issues that cause a shell to give a cryptic error message. It shows typical intermediate level semantic problems that cause a shell to behave in a abnormally and counter-intuitively. It can also discover...
    Downloads: 18 This Week
    Last Update:
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  • 2
    The HaskellR project

    The HaskellR project

    The full power of R in Haskell

    The HaskellR project provides an environment for efficiently processing data using Haskell or R code, interchangeably. HaskellR allows Haskell functions to seamlessly call R functions and vice versa. It provides the Haskell programmer with the full breadth of existing R libraries and extensions for numerical computation, statistical analysis and machine learning. Optionally, pass in the --nix flag to all commands if you have the Nix package manager installed.
    Downloads: 5 This Week
    Last Update:
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  • 3
    Queryparser

    Queryparser

    Parsing and analysis of Vertica, Hive, and Presto SQL

    Queryparser is Uber’s open source Haskell library for parsing and analyzing SQL queries written in different dialects (Vertica, Hive, Presto). It creates a unified AST and supports name resolution using catalog metadata, enabling large-scale query analysis for lineage detection, analytics, and tooling. The parsing logic produces an AST with table and column identifiers that are "raw" or optionally qualified. Frequently, it is desirable to convert the AST over raw names to an AST over...
    Downloads: 0 This Week
    Last Update:
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  • 4
    Sharp Statistics

    Sharp Statistics

    A simple program for comparing data sets with simple algorithms.

    Replace the data in the data.db file with your own data using an sqlite3 manager. Tables are read as data set names, and the values are read as the data points of the data sets. Load the application, choose an algorithm, and the program will find the pairs that best match each other.
    Downloads: 0 This Week
    Last Update:
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  • 5
    A programming language designed for searching and manipulating tree-structured data, particularly corpora of natural languages encoded in an s-expression-like format.
    Downloads: 0 This Week
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