30 open-source projects similar to parallel-js/parallel.js, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Parallel.js alternative.
This repository contains the HTML specification, which defines the core standards for web page structuring, content organization, and document rendering. It establishes the fundamental algorithms for state-machine-based tokenization, tree construction for the document object model, and origin-based security isolation. The specification provides a framework for defining custom elements with independent lifecycles and registries. It also details the requirements for cross-document communication, session history management, and the synchronization of interface properties with content attributes.
Cats is a Scala functional programming library and type class library designed to implement algebraic patterns and functional abstractions. It provides a standardized set of interfaces and a modular toolkit of functional wrappers and containers to enable ad-hoc polymorphism and generic programming across disparate types. The project serves as a functional abstraction standard, offering a monad transformer suite to compose nested effectful contexts and handle multiple computational side effects within a single pipeline. It further enables the construction of embedded domain-specific languages
Workerize is a web worker module loader and main thread offloader. It functions as an asynchronous proxy wrapper that allows JavaScript modules to run in background workers, preventing browser UI freezes by delegating computationally expensive tasks to separate threads. The project utilizes a proxy-based interface to call functions inside a background worker as if they were local asynchronous calls. This mechanism enables the execution of modules in parallel workers to maintain main thread responsiveness. The system covers asynchronous module execution and web worker integration, focusing on
Greenlet is a multi-threaded asynchronous executor and web worker task runner. It serves as an execution wrapper that offloads heavy computation to background workers to maintain user interface responsiveness and prevent the main execution thread from blocking. The project includes a transferable object handler designed to move large data buffers between threads. This mechanism avoids the overhead of memory copying to optimize data transfer. The library covers the management of web workers, facilitating asynchronous task isolation and main thread offloading.
Starboard Notebook is a web-based environment designed for literate programming and interactive code execution. It functions as an in-browser notebook system that allows users to combine formatted text with executable code blocks, enabling the creation of dynamic documents and data visualizations without requiring a backend server. The platform is built as an embeddable runtime, allowing developers to integrate interactive, cell-based documentation directly into existing web pages. It distinguishes itself through a modular architecture that supports custom plugin development, enabling the reg
This project is a data mining algorithm library and machine learning reference implementation. It provides a collection of tools for performing classification, clustering, and association rule mining, as well as a toolkit for nature-inspired optimization. The library includes specialized utilities for graph and sequence mining, enabling the extraction of frequent subgraphs and sequential patterns. It also features a dimensionality reduction utility that uses rough set theory to remove redundant attributes from datasets. The project covers a broad range of analytical capabilities, including n
collect.js is a dependency-free JavaScript library that provides a fluent, chainable interface for manipulating arrays and objects. It mirrors the Laravel Collection API, offering a consistent set of methods for data transformation across JavaScript and Laravel backend environments. The library stores collection data as plain arrays internally and supports fluent method chaining, where each method returns a new collection instance. The library distinguishes itself by closely replicating the Laravel Collection API in JavaScript, mapping each PHP method to an equivalent JavaScript implementatio
Pica is a client-side utility for browser-based image scaling, format transformation, and file optimization. It functions as a canvas image processor that transforms data between canvas elements, bitmaps, and blobs for local manipulation within the web browser. The library distinguishes itself through high-quality downscaling using Lanczos resampling and a multi-threaded processing model. It utilizes web workers to split image processing into tiles across CPU cores to increase resizing speed. The project covers a broad range of image manipulation capabilities, including high-quality scaling
Javascript Playgrounds is a browser-based code execution engine designed for running untrusted JavaScript snippets and managing interactive playgrounds. The system isolates user-submitted code inside dedicated web workers to prevent main thread blocking and protect the host environment, while supporting dynamic module loading that fetches external libraries and third-party scripts on demand. The platform includes architectural tools for mobile device simulation, rendering application output inside configurable viewport wrappers with adjustable platform dimensions and status bar styling. Debug
Pentaho Kettle is an enterprise ETL data integration platform designed to extract, transform, and load data between disparate sources and target databases. It functions as a metadata-driven orchestrator that utilizes a visual workflow designer to create and manage complex sequences of data tasks and transformation pipelines. The system is distinguished by its distributed data processing engine, which executes workloads across clusters of server nodes to increase throughput. It employs a plugin-based architecture, allowing the platform to be extended via external JAR files to provide connectiv
Agenda is a persistent background job scheduler and distributed task runner for Node.js applications. It functions as a cron job manager and task queue that ensures background processes survive application restarts by storing job state and metadata in a database. The system coordinates execution across multiple worker instances using distributed locking mechanisms to prevent duplicate processing. It supports flexible scheduling via cron expressions or specific dates and includes a pluggable storage interface for backends such as MongoDB, PostgreSQL, and Redis. The platform provides controls
This project is a high-performance numerical computing library designed for large-scale scientific and machine learning workloads. It functions as an automatic differentiation framework and a just-in-time compilation engine, transforming high-level Python code into optimized machine instructions. By enforcing pure functional programming patterns and immutable array semantics, the library ensures that mathematical functions remain compatible with automated graph transformations and symbolic differentiation. The platform distinguishes itself through its distributed array computing capabilities,
Vector is a high-performance observability data pipeline designed to collect, transform, and route logs, metrics, and traces across distributed infrastructure. It functions as a modular engine that decouples data ingestion from processing and transmission, utilizing a component-based architecture to connect diverse sources to multiple destinations. The project distinguishes itself through a focus on reliability and flow control. It implements backpressure-aware data movement to prevent data loss during traffic spikes and utilizes disk-backed event buffering to ensure durability during network
This project is a technical interview preparation resource focused on JavaScript. It provides a collection of common technical questions, detailed answers, and conceptual quizzes designed to help users master core language fundamentals and browser APIs. The resource utilizes an interactive infrastructure that includes a coding workspace with in-browser runtime execution and an automated test suite to validate code correctness. It organizes content through curated learning paths and modular concept mapping to decompose complex language fundamentals into searchable study modules. The curriculu
Parallel is a Ruby library and multi-process execution framework designed to accelerate CPU-intensive operations. It functions as a parallel job orchestrator and concurrent task runner that enables the execution of code across multiple processes or threads. The project distinguishes itself through secure inter-process communication, utilizing signed data serialization to prevent the injection of forged payloads between parent and child processes. It further differentiates its worker management by assigning unique identifiers to individual processes to prevent collisions when accessing shared
Hedgehog Lab is a browser-based scientific computing environment designed for executing numerical analysis, matrix operations, and symbolic computation directly within a web browser. It functions as a native engine for algebraic manipulation and equation solving, allowing users to perform complex mathematical tasks without requiring external server-side infrastructure or software installations. The platform distinguishes itself by leveraging hardware acceleration to process large-scale linear algebra and matrix calculations. It integrates a symbolic engine that parses mathematical expressions
Pagefind is a static site search engine that indexes HTML files to provide a browser-based search experience without the need for a backend server or API. It consists of a multilingual search indexer and a set of prebuilt, customizable user interface components for rendering search inputs and result lists. The system is designed for global content, utilizing a multilingual search indexer that detects page languages and creates independent index bundles to provide language-specific stemming and results. It further optimizes performance by using a compressed index and offloading query execution
JupyterLite is a WebAssembly-based interactive notebook environment that enables browser-based computing without a backend server. It provides a client-side data science sandbox where users can execute programming language kernels and run interactive notebooks entirely within the web browser. The project allows for the creation of tailored distributions by pre-installing specific language packages, bundling custom wheels, and applying environment configurations. It supports the generation of static sites that can be deployed to any standard HTTP host, including the ability to package the envi
Clean-Code-Notes is a clean code study guide and a collection of detailed notes based on professional software development standards. It serves as documentation for coding standards and a reference for writing maintainable source code. The project provides technical summaries for object oriented design and software design patterns. It includes guidelines for organizing classes and interfaces to reduce coupling, isolating implementation details, and implementing architectural patterns such as dependency injection and interface abstraction. The resource also functions as an implementation guid
This library is a type-safe Kotlin framework designed for building automated messaging services on the Telegram platform. It provides a comprehensive toolkit for developers to create interactive bots that handle incoming updates, manage chat interactions, and execute automated workflows on the JVM. By abstracting the underlying network communication, the library allows for the development of sophisticated messaging applications using native language features. The framework distinguishes itself through a functional approach to API interaction, utilizing algebraic data types to represent succes
AlaSQL is a JavaScript SQL database engine that allows for the filtering, grouping, and joining of in-memory object arrays and JSON data. It functions as an in-memory SQL database and client-side data processor, enabling the execution of SQL statements against JavaScript arrays and external data sources in both browser and server environments. The project serves as a universal data query tool capable of performing relational joins across diverse sources, such as merging Google Spreadsheets, SQLite files, and remote APIs into a single result set. It also acts as an IndexedDB SQL wrapper, allow
Arrow is a functional programming library for Kotlin that provides tools for implementing data-oriented programming patterns. It serves as a framework for typed error handling, a concurrency toolkit, and a library for the manipulation of immutable data. The project distinguishes itself through specialized capabilities for managing application failures using explicit types instead of exceptions and implementing resilience patterns such as circuit breakers and retry policies for distributed services. It also provides optics to update and query deeply nested immutable data structures without man
Azkaban is a distributed workflow manager and DAG-based job orchestrator designed as an enterprise batch processor. It serves as a Java-based workflow engine that schedules and executes complex job sequences across a cluster of executor servers, with specific functionality for managing big data workloads on Hadoop clusters. The system distinguishes itself through a distributed executor model that coordinates state via a shared database to ensure high availability. It employs a plugin-based architecture that allows for custom job types and system functionality extensions, including the ability
BullMQ is a Redis-backed message queue library and background processor designed for distributed task queueing. It functions as a distributed queue manager and task scheduler, utilizing Redis to manage asynchronous job processing and persistence. The system distinguishes itself through its role as a job workflow orchestrator, enabling the definition of complex parent-child job dependencies and hierarchies for multi-step workflows. It provides sandboxed process execution to isolate heavy workloads and prevent event loop blocking, alongside distributed rate limiting to protect downstream servic
Borgo is a statically typed language and compiler that transforms high-level syntax into Go source code. It functions as a transpiler designed to leverage the Go runtime while introducing a type system centered on algebraic data types and result-based error handling. The language distinguishes itself by replacing Go's multiple return values with result and option types, using a dedicated operator for concise error propagation. It implements sum types with exhaustive pattern matching and provides a tool to generate bindings for existing Go packages, automatically converting multi-value returns
Camelot is a Python library and processing engine designed to extract tabular data from PDF documents. It converts unstructured tables into machine-readable formats such as CSV, JSON, and Excel. The project provides specialized toolsets for different document types, using line detection for ruled tables and whitespace analysis for borderless tables. It includes an optical character recognition system to recover structured data from image-based scanned PDFs that lack a digital text layer. The library handles complex document layouts, including encrypted files, rotated pages, and tables that s
SQLDelight is a Kotlin database library that validates SQL schema, statements, and migrations at compile time, generating type-safe Kotlin query functions from labeled SQL files. It treats SQL as the source of truth for database definitions, catching schema errors during the build process before they reach production. The library supports multiple database dialects including SQLite, MySQL, PostgreSQL, HSQL, and H2, and generates platform-specific code for Android, iOS, JVM, and JavaScript targets. It provides a platform-specific driver abstraction that handles database connectivity difference
Returns is a functional programming library for Python that provides type-safe containers for managing state, error handling, and optionality. It serves as a monadic container library and a type-safe error handling framework, replacing traditional try-catch blocks and null checks with Result and Optional containers to treat exceptions as data. The project is distinguished by its use of a specialized Mypy static analysis plugin to validate functional pipelines and emulate higher kinded types. It provides mechanisms for isolating side effects through IO containers and offers a framework for typ
esm.sh is a proxy-based registry and distribution system for buildless web development. It retrieves packages from external registries and serves them as ES modules directly to the browser, eliminating the need for a local build step. The project transforms TypeScript, JSX, TSX, and Vue files into browser-compatible JavaScript on the fly during the request process. It handles Node.js built-in resolution by mapping internal modules to browser-compatible polyfills and manages dependency versioning and aliasing through URL query parameters. The system optimizes delivery via request-time tree sh
fp-ts is a TypeScript library that brings pure functional programming patterns to the language through algebraic data types, type class abstractions, and composable combinators. It provides foundational data types like Option for optional values, Either for typed error handling, and Task for lazy asynchronous computations, all designed to make invalid states unrepresentable and side effects explicit. The library is built on category theory concepts, offering type classes such as Functor, Applicative, Monad, Semigroup, and Monoid with lawful instances for common data structures. The library di