30 open-source projects similar to algorithm-visualizer/algorithm-visualizer, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Algorithm Visualizer alternative.
Taichi is a domain-specific programming language embedded in Python designed for high-performance numerical computing and computer graphics. It functions as a parallel compiler that translates high-level mathematical expressions into optimized machine instructions, enabling developers to write compute-intensive algorithms that execute across diverse hardware architectures, including CPUs, GPUs, and specialized accelerators. The project distinguishes itself through a hardware-agnostic execution layer that maps parallel operations to multiple backends such as CUDA, Metal, and Vulkan. By utilizi
Reflex is a full-stack web framework that enables the development of complete web applications using only Python. It provides a unified environment where server-side logic and client-side interfaces are synchronized through a shared, event-driven architecture. By using a declarative component language, the framework compiles code into reactive frontend elements and backend event handlers, allowing developers to manage the entire application lifecycle within a single codebase. The framework distinguishes itself through its reactive state management and integrated AI-assisted development tools.
This repository is a comprehensive collection of data structures and algorithms implemented in JavaScript, designed primarily as an educational resource for computer science study and technical interview preparation. It provides modular implementations of fundamental programming concepts, allowing developers to explore algorithmic logic and data organization through self-contained, verifiable code examples. The library distinguishes itself by pairing every implementation with formal Big O notation, providing predictable insights into time and space scaling requirements. Each algorithm is stru
Nushell is a cross-platform shell and programming language designed to treat all input and output as structured data rather than raw text streams. By enforcing data types and command signatures, it provides a consistent environment for building robust, pipeline-oriented workflows. The shell allows users to chain commands that pass structured objects between stages, enabling complex data processing and automation tasks that remain predictable across different operating systems. What distinguishes the project is its focus on interactive data exploration and modular extensibility. Users can quer
Elixir is a functional, concurrent programming language designed for building scalable and maintainable applications. It operates on the Erlang virtual machine, leveraging a distributed, fault-tolerant runtime environment that manages lightweight processes to ensure system reliability. By utilizing an actor-model supervision strategy, the language enables the creation of high-concurrency backend systems that automatically recover from failures and maintain stability under heavy loads. The language distinguishes itself through a powerful metaprogramming environment that allows developers to ex
algorithm-base is an educational library and study guide designed for simulating algorithms and studying data structures. It functions as an execution visualizer that renders step-by-step state changes and pointer updates through animated simulations to illustrate how data movement works. The project distinguishes itself by mapping conceptual logic directly to multi-language source code implementations. It utilizes a comparative analysis framework to evaluate different algorithmic strategies based on stability, time complexity, and space complexity, while organizing problems by underlying mec
This repository is a comprehensive resource for software engineering career development and technical interview preparation. It provides a structured collection of learning materials, algorithmic patterns, and system design guides designed to assist developers in mastering the core competencies required for professional engineering roles. The project distinguishes itself through a pattern-based content taxonomy that groups diverse technical challenges by underlying algorithmic strategies. This approach allows users to identify and apply reusable solutions during high-pressure assessments. It
TrumpScript is a Python-based domain specific language and compiler extension that wraps the Python runtime to enforce custom grammar and vocabulary rules. It transforms a specialized, case-insensitive vocabulary and natural speech patterns into executable Python instructions. The implementation distinguishes itself through strict constraints on source code, including a variable name system that restricts identifiers to a predefined whitelist and a numeric parser that rejects any integer not exceeding one million. It further utilizes a token-filtering preprocessor to remove filler words and n
DBML is a domain-specific language and schema definition language used for documenting database architecture and design. It provides a human-readable text format for defining database tables, columns, and relationships in a standardized way. The project functions as a relational schema parser and SQL schema generator. It transforms declarative design specifications into an abstract syntax tree for programmatic manipulation and converts these definitions into executable SQL statements across various database dialects. The system covers relational data modeling, database schema design, and arc
Ryven is a flow-based programming framework and visual scripting editor for Python. It provides a node-based graphical interface for designing and executing logic by connecting discrete functional nodes to build executable data pipelines. The system functions as an extensible visual logic tool, allowing for the development of custom Python nodes and the integration of interactive GUI widgets to expand scripting capabilities. It includes a node graph engine that supports both visual editing and headless execution, enabling scripts to run without a graphical user interface. The platform covers
RxMarbles is an interactive stream visualizer and playground for reactive programming. It serves as a tool for simulating and visualizing the behavior of RxJS operators using marble diagrams. The tool allows users to manipulate the timing and sequence of data points by dragging them along a timeline to observe how operator transformations react in real time. These interactive diagrams can be serialized into unique URLs, enabling the generation of permalinks to share specific operator examples and stream states. The system covers the visualization of asynchronous data streams and the simulati
This project is a Python machine learning education kit that provides curated datasets and visualization scripts to teach fundamental machine learning concepts. It functions as both a machine learning visualization library and a collection of educational datasets designed for demonstrating and testing common models and patterns. The toolkit focuses on illustrating the internal logic and operational patterns of machine learning algorithms. It generates figures and datasets that visualize how different models behave and operate on data to aid in the learning process. The implementation utilize
InfluxDB is a specialized time series database platform engineered for the high-speed ingestion, compression, and retrieval of timestamped data at scale. It functions as a distributed metrics platform, providing the infrastructure necessary to organize and analyze massive volumes of time-stamped information to identify trends, patterns, and anomalies within complex data streams. The platform distinguishes itself through a functional dataflow engine that utilizes a specialized programming language for complex analytical transformations and automated tasks. This architecture is supported by a p
Groovy is a JVM programming language and metaprogramming framework that provides a Java compatible environment for building applications. It functions as a dynamic scripting language and a tool for authoring domain-specific languages, allowing for the execution of custom scripts and the creation of specialized mini-languages with concise syntax. The project is distinguished by its ability to modify program behavior and class definitions through both compile-time and runtime metaprogramming. It utilizes a hybrid typing model that combines dynamic method resolution with optional static type che
ANTLR is a grammar-based code generator and multi-language parser generator used to design and implement custom languages. It functions as a toolkit for transforming formal language definitions into executable source code for processing structured text or binary files, while providing a framework for automatically constructing and traversing hierarchical parse trees. The project is distinguished by its ability to generate lexers and parsers in various target programming languages from a single shared grammar definition. It supports grammars containing direct left recursion and utilizes adapti
radare2 is a reverse engineering framework and binary analysis toolset. It functions as a multi-architecture disassembler, low-level binary debugger, and hexadecimal editor for inspecting executable structures and interpreting machine code when original source files are unavailable. The framework provides capabilities for decompiling machine instructions, performing symbolic analysis, and diffing binary files to identify structural changes across versions. It also includes a digital forensic analyzer and disk analyzer for browsing filesystem formats in userland. The toolset supports binary p
Mint is a front-end programming language and compiled web framework designed for building interactive user interfaces. It functions as a transpiler that converts a specialized domain-specific language into standard JavaScript and CSS for execution in a web browser. The toolchain enables type-safe UI development by utilizing static type analysis to validate data structures during the build phase. It organizes web interface logic into a component-based architecture, where encapsulated units synchronize internal state with the rendered view. The system covers a full compiled web toolchain, incl
Cake is a cross-platform build automation system and scripting framework that allows users to define software build pipelines using C# scripts. It functions as a CI/CD pipeline orchestrator and build runner, providing a strongly-typed domain-specific language to simplify the orchestration of compilation, testing, and packaging processes across Windows, Linux, and macOS. The system ensures reproducible build environments by pinning the versions of build tools, modules, and dependencies. It distinguishes itself by enabling a C# scripting workflow with full IDE support, including autocomplete, s
This project is a C# algorithms library and collection of data structures. It serves as a computer science reference providing practical implementations of classic sorting, searching, and graph traversal patterns. The library includes a dedicated string processing toolkit for analyzing text similarity, computing edit distances, and managing prefix-based searches. It also features a graph theory implementation for modeling network relationships and calculating shortest paths. The codebase covers a broad range of capabilities, including the management of linear and hierarchical collections, tr
Ohm is a formal grammar parser generator and domain-specific language framework. It provides a system for defining custom languages to parse, validate, and extract data from input text, transforming raw strings into hierarchical abstract syntax trees based on specified formal rules. The project utilizes an Earley parsing algorithm, which allows it to support all context-free grammars, including those with left recursion and ambiguity, without requiring predefined operator precedence. It also includes a dedicated debugging toolkit for tracing and visualizing the step-by-step state transitions
Pest is a Rust parsing library and automatic parser generator that transforms formal grammar definitions into functional parsers. It specializes in Parsing Expression Grammar to recognize and structure complex text patterns, providing a system for context-free grammar parsing. The library implements zero-copy tokenization and static grammar compilation to reduce runtime overhead. It supports no-std runtime compatibility, allowing the parser to be compiled for embedded or bare-metal environments where a standard library is unavailable. The project covers a range of parsing capabilities, inclu
Alda is a text-based music programming language and command-line tool for composing, playing, and live-coding musical scores. It functions as a MIDI composition engine that renders plain-text scores into audio output, and as a live coding environment where code entered in a read-eval-print loop produces real-time playback without restarting the interpreter. The system distinguishes itself through an event-driven playback engine that schedules timed note events, an instrument-attribute inheritance model that cascades properties like volume and tempo from global defaults to individual parts, an
PegJS is a parsing expression grammar tool and JavaScript parser generator. It functions as a grammar compiler that transforms formal grammar specifications into executable JavaScript code for analyzing structured text and processing complex input strings. The system generates deterministic parsers that avoid the ambiguity of context-free grammars. It utilizes a packrat parsing model with memoization to ensure linear time complexity and employs recursive descent parsing to process input in a top-down hierarchical manner. The toolset supports the implementation of domain-specific languages an
Kaitai Struct is a framework for declarative binary specification that provides automated parser and serializer generation across multiple programming languages. It uses a portable, domain-specific language to describe the layout of binary files and network packets, converting these specifications into source code for reading and writing binary data. The system enables cross-language data processing by translating a single structural definition into native source code for languages including C++, C#, Go, Java, JavaScript, Python, and Rust. This approach allows the same binary data specificati
Rhai is an embedded scripting engine and dynamically typed language designed for integration into Rust applications. It functions as an abstract syntax tree compiler and native interop layer, allowing developers to map Rust types and functions into a scripting environment for bidirectional communication. The project serves as a framework for creating customizable domain-specific languages. It allows for the definition of custom operators, syntax, and restricted execution environments, enabling the creation of specialized languages with tailored functional sets. The engine covers a broad rang
Streem is a stream-based programming language and data pipeline orchestrator. It provides a domain-specific language for defining concurrent data flows, allowing users to link data sources to destinations through a sequence of operations that transform and filter individual stream elements. The system uses a custom script syntax to define data-flow connections and pipeline definitions. This allows for the orchestration of concurrent data processing where multiple pipeline stages execute simultaneously to move data elements through the system. The platform covers functional data transformatio
Sonic Pi is a live coding music environment and algorithmic composition tool. It functions as a Ruby-based audio engine that allows users to compose and perform audio in real-time through a programmable interface. The software serves as interactive music education software, designed to teach computer science fundamentals and introductory programming concepts through the immediate feedback of sound generation. The system provides capabilities for real-time audio synthesis and the creation of complex musical patterns and sequences. It enables the generation of audio and the execution of music
Wuffs is a toolset for generating memory-safe, sandboxed parsers and decoders from domain-specific language specifications. It functions as a compiler that transforms these specifications into executable code for C, Go, or Rust, specifically designed to decode untrusted file formats while preventing buffer and integer overflows. The project employs a sandboxed execution model that prohibits system calls and manual memory management to ensure computations are side-effect free. It utilizes a refined type system and compile-time constraint verification to enforce memory safety, alongside saturat
Sweet-core is a JavaScript source-to-source compiler and Lisp-style macro system. It functions as a syntax transformer that extends JavaScript by allowing the definition of custom syntax and operators during the compilation process. The system provides a framework for building domain-specific languages through hygienic, recursive macro expansion and the creation of new language constructs. It distinguishes itself by supporting custom operator definitions with configurable associativity and precedence to control expression evaluation. The compiler includes a specialized module system for mana
This project is an introductory programming course and educational resource designed to teach the basics of the Python language. It serves as a beginner guide to foundational programming concepts and syntax through a structured learning path. The curriculum focuses on Python language learning and scripting basics, enabling learners to build a foundational understanding of how to write and run code. Instructional materials are delivered through an example-driven curriculum that pairs runnable code snippets with hands-on exercises. The content is organized into a modular lesson structure using