Data Manipulation
Showing 36 of 58 projects
A modern JavaScript utility library delivering modularity, performance, and extras for working with arrays, objects, strings, and more.
A powerful Python library for data analysis and manipulation, providing fast, flexible data structures.
A powerful Python library for data manipulation and analysis, providing fast, flexible data structures.
A web-based Swiss Army knife for encryption, encoding, compression, and data analysis operations.
A utility-belt library for JavaScript providing functional programming helpers without extending core objects.
A fast command-line toolkit for indexing, slicing, analyzing, splitting, and joining CSV files, written in Rust.
A terminal spreadsheet multitool for exploring and arranging tabular data from various formats.
A utility library for JavaScript and TypeScript with first-class TypeScript support and data-first/data-last approaches.
A grammar of data manipulation for R, providing a consistent set of verbs to solve common data manipulation challenges.
A high-performance R package for fast data manipulation of large datasets, extending data.frame with concise syntax and memory efficiency.
A lightweight PHP library for efficient CSV parsing, writing, and transformation with a straightforward API.
A Go library providing DataFrames, Series, and data wrangling operations for structured data manipulation.
A Go library providing DataFrames, Series, and data wrangling operations for tabular data manipulation.
A Clojure(Script) library for concise, high-performance querying and transformation of nested and recursive data structures.
A Go package providing an ODM-like API to query and aggregate JSON, YAML, XML, and CSV data.
A Python CLI utility and library for manipulating SQLite databases, including importing JSON/CSV and running in-memory queries.
A collection of useful macros that extend Laravel's Collection class with additional functionality.
A desktop GUI application for editing, visualizing, and manipulating JSON data using jq or JavaScript filters.
A flexible and fast package for in-memory tabular data manipulation and analysis in the Julia programming language.
A meta-package for installing and loading core R packages for data science that share common design principles.
A collection of R packages for data science that share common design principles and work together seamlessly.
A command-line utility for processing JSON and JavaScript data, inspired by Perl and Unix tools like sed and awk.
A command-line tool that provides an SQL-like query language for reading, updating, and deleting CSV records.
A CSS-like selector language for querying and filtering JSON documents.
Python library providing clean, chainable functions for data cleaning and manipulation with pandas DataFrames.
A small utility library for chaining data manipulation operations on common Objective-C data structures.
A functional programming toolkit for R that enhances data manipulation with consistent, type-stable functions.
A functional programming toolkit for R that enhances data manipulation with consistent, type-stable functions for working with vectors and lists.
Query pandas DataFrames using SQL syntax, similar to sqldf in R.
A lightweight and intuitive Go library for data manipulation, statistics, and machine learning using DataFrames.
A Ruby library for data analysis with DataFrame and Vector structures, offering storage, manipulation, and visualization.
An R package providing the %>% pipe operator to improve code readability by structuring data operations left-to-right.
A comprehensive, high-performance optics library for JavaScript that provides lenses, traversals, and isomorphisms to manipulate immutable JSON data.
An R package that simplifies parsing, manipulating, and calculating with dates and times.
A Python library that brings R's dplyr data manipulation syntax to pandas DataFrames using a pipe operator.
A JavaScript library for querying and manipulating object properties using expressive paths with wildcards, regexps, slices, and unions.
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