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stdlib-js/stdlib

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stdlib.io↗

Stdlib

Features

  • Scientific Computing Libraries - Serves as a comprehensive JavaScript standard library for scientific computing and data analysis.
  • Numerical Computing Libraries - Provides mathematical functions, statistical distributions, and linear algebra routines for numerical computing.
  • Type and Feature Assertions - Provides over 200 assertion utilities for data validation and environment feature detection.
  • Testing and Benchmarking - Supports TAP-compatible assertions, performance benchmarks, and code validation.

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  • Collection Iteration - Provides protocols for traversing elements within collections to perform operations.
  • Data Visualization - Ships a comprehensive data visualization library for generating plots and graphics.
  • Data Transformation Utilities - Provides over 200 utilities for mapping, filtering, and restructuring data collections.
  • Map Constructors from Pairs - Provides functions to construct objects from arrays of key-value pairs.
  • Object Flattening - Provides utilities for flattening nested objects into single-level structures.
  • TAP Deep Equality Assertions - Verifies that two values are deeply equal and reports the result as a TAP assertion.
  • TAP Deep Inequality Assertions - Verifies that two values are not deeply equal and reports the result as a TAP assertion.
  • Standard Dataset Loaders - Provides a function to load named datasets from a standard library.
  • Data Transformation Utilities - Ships over 200 utilities for mapping, filtering, grouping, and reshaping arrays and objects.
  • Interactive REPLs - Provides an interactive REPL with workspaces, history, tutorials, and slideshows.
  • Distribution Samplers - Produces random variates drawn from over 30 probability distributions for statistical simulation and modeling.
  • Seedable Generators - Offers 40+ seedable pseudorandom number generators for reproducible simulations.
  • 2D Plot Constructors - Provides a constructor for creating 2D plots with configurable axes and styling.
  • Nested Property Getters - Provides utilities for retrieving nested property values from objects using path strings.
  • Nested Property Setters - Provides utilities for setting nested property values in objects using path strings.
  • Array Flattening Utilities - Includes functions that collapse nested arrays into a single level.
  • Array Mapping Functions - Provides functions that transform each element of an array into a new value.
  • Two-Array Mappers - Provides utilities for mapping over two arrays simultaneously.
  • Object Prototypes - Provides a utility for retrieving the prototype of an object.
  • Partial Application - Implements partial application to pre-fill function arguments from the left or right.
  • Property Definers - Provides utilities for defining and modifying object properties with configurable accessors.
  • Array Element Finding - Provides methods to locate elements in an array that match a specific condition.
  • Predicate-Based Element Testing - Ships functions that test whether every element in a collection satisfies a predicate.
  • Function Currying - Provides a function currying utility that transforms multi-argument functions into chained single-argument calls.
  • Structured Cloning - Provides algorithms for creating deep copies of values.
  • Scientific Computing - Provides scientific computing capabilities including special functions, linear algebra, and high-performance math.
  • Mathematical Function Implementations - Performs high-performance mathematical and statistical computations for advanced modeling.
  • Numeric Property Validators - Provides utilities for validating numeric properties such as integer or positive range.
  • Mathematical Function Implementations - Evaluates over 150 advanced mathematical functions for scientific computing.
  • Probability Distributions - Evaluates PDFs, CDFs, quantiles, and moments for over 35 probability distributions.
  • Distribution Samplers - Generates random variates from over 30 continuous and discrete probability distributions for simulation.
  • Distribution Statistics - Computes probability density, cumulative distribution, quantile, and moments for a wide range of distributions.
  • Element Type Validators - Provides utilities for validating the data type of every element in an array.
  • Data Type Validation - Provides utilities for validating JavaScript data types like string, number, and boolean.
  • Harness Completion Callbacks - Registers a callback that fires once all benchmarks in the harness have finished running.
  • Strict Equality Assertions - Verifies that two values are strictly equal and reports the result as a TAP assertion.
  • Strict Inequality Assertions - Verifies that two values are not strictly equal and reports the result as a TAP assertion.
  • Function Composition - Ships a function composition utility that combines multiple functions into a single operation.
  • Independent Package Monorepos - Organizes thousands of packages as independent npm modules with shared build and test infrastructure.
  • Property Extraction & Validation - Provides utilities for extracting property values from arrays of objects.
  • Nested Property Extractors - Provides utilities for extracting nested property values from arrays of objects.
  • Property Iterators - Provides utilities for iterating over own and inherited enumerable properties of objects.
  • Benchmark Completion Signals - Signals that a benchmark has finished, which is required for both synchronous and asynchronous benchmarks.
  • Isolated Harness Instances - Instantiates a new harness with its own pending stack and state, optionally auto-closing after all benchmarks run.
  • Assertion and Validation Utilities - Provides over 200 assertion utilities for data validation and feature detection.
  • Falsiness Assertions - Checks that a given value is falsy and reports the result as a TAP assertion.
  • Benchmarking Outputs - Ships a TAP-compliant benchmarking framework for measuring and comparing code performance.
  • Serial Benchmark Runners - Queues benchmark functions to execute one after another in separate event-loop turns, outputting results as TAP.
  • Sample Datasets - Provides over 50 sample datasets for testing, development, and exploratory analysis.
  • Code Examples - Ships a built-in command to execute example code for any alias or class instance.
  • Prototype-Based Inheritance - Provides utilities for implementing prototypical inheritance by replacing constructor prototypes.
  • Rounding Utilities - Computes absolute values and rounding for real and complex numbers.
  • Exponential Functions - Computes natural, base-10, and base-2 exponentials and logarithms with numerical stability.
  • BLAS Interfaces - Accelerates linear algebra by calling native BLAS libraries with pure JavaScript fallbacks.
  • Trigonometric Functions - Evaluates standard and inverse trigonometric functions, including hyperbolic and versed variants.
  • Special Function Calculators - Evaluates a wide range of special mathematical functions including beta, gamma, and binomial coefficients.
  • Memoization Caches - Provides utilities for caching function return values based on arguments to avoid recomputation.
  • Collection Partitioning & Grouping - Provides logic for dividing collections into groups based on predicates or grouping criteria.
  • Data Processing and Analysis - Standard library for numeric computing in JavaScript and Node.js.
    • 5,735 स्टार्स·1,103 फोर्क्स·JavaScript·apache-2.0·7 व्यूज़

    स्टार हिस्ट्री

    stdlib-js/stdlib के लिए स्टार हिस्ट्री चार्टstdlib-js/stdlib के लिए स्टार हिस्ट्री चार्ट

    Stdlib के ओपन-सोर्स विकल्प

    समान ओपन-सोर्स प्रोजेक्ट्स, जो Stdlib के साथ साझा की गई सुविधाओं के आधार पर रैंक किए गए हैं।
    • carp-lang/carpcarp-lang का अवतार

      carp-lang/Carp

      5,815GitHub पर देखें↗

      Carp is a statically typed Lisp compiler that compiles Lisp-like syntax directly to C source code, enabling seamless integration with existing C libraries and low-level system programming. It manages memory deterministically at compile time using ownership tracking and linear types, eliminating garbage collection pauses and runtime overhead while ensuring type safety through an inferred static type system. The language distinguishes itself through compile-time macro expansion and metaprogramming capabilities, allowing code generation and transformation before final binary output. It enforces

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    • lodash/lodashlodash का अवतार

      lodash/lodash

      61,235GitHub पर देखें↗

      Lodash is a JavaScript utility library and data manipulation toolkit. It provides a collection of modular functions for transforming, filtering, and validating arrays, objects, strings, and numbers. The project functions as a functional programming toolkit, offering capabilities for function composition, currying, and lazy evaluation. It includes mechanisms for execution control, such as debouncing and throttling, to manage the timing and frequency of function invocations. The library covers a broad surface of data operations, including deep cloning and merging of complex nested structures,

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    • purescript/purescriptpurescript का अवतार

      purescript/purescript

      8,832GitHub पर देखें↗

      PureScript is a statically typed, purely functional programming language that compiles to JavaScript. It is designed as a cross-platform frontend language for building safe web applications, utilizing a static type system and a JavaScript compiler to ensure program correctness across browser and server environments. The language is distinguished by its emphasis on mathematical purity, featuring a robust type system with first-class support for monads. It provides a sophisticated toolset for static verification, including algebraic data types, type classes, and automatic type inference to reje

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    • sadanandpai/javascript-code-challengessadanandpai का अवतार

      sadanandpai/javascript-code-challenges

      4,451GitHub पर देखें↗

      This repository is a collection of JavaScript coding challenges and a comprehensive interview guide. It provides reference implementations and educational examples designed to help developers master language fundamentals and prepare for technical interviews. The project covers a wide array of specialized implementations, including functional programming patterns like currying and partial application, as well as asynchronous patterns for concurrency control. It also includes practical examples of Document Object Model manipulation and the implementation of common data structures such as stacks

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    Stdlib के सभी 30 विकल्प देखें→

    अक्सर पूछे जाने वाले प्रश्न

    stdlib-js/stdlib की मुख्य विशेषताएं क्या हैं?

    stdlib-js/stdlib की मुख्य विशेषताएं हैं: Scientific Computing Libraries, Numerical Computing Libraries, Type and Feature Assertions, Testing and Benchmarking, Collection Iteration, Data Visualization, Data Transformation Utilities, Map Constructors from Pairs।

    stdlib-js/stdlib के कुछ ओपन-सोर्स विकल्प क्या हैं?

    stdlib-js/stdlib के ओपन-सोर्स विकल्पों में शामिल हैं: carp-lang/carp — Carp is a statically typed Lisp compiler that compiles Lisp-like syntax directly to C source code, enabling seamless… lodash/lodash — Lodash is a JavaScript utility library and data manipulation toolkit. It provides a collection of modular functions… purescript/purescript — PureScript is a statically typed, purely functional programming language that compiles to JavaScript. It is designed… sadanandpai/javascript-code-challenges — This repository is a collection of JavaScript coding challenges and a comprehensive interview guide. It provides… dry-python/returns — Returns is a functional programming library for Python that provides type-safe containers for managing state, error… angus-c/just — Just is a collection of JavaScript utility libraries designed for data manipulation, functional programming,…