52 repository-uri
Core types for organizing data into lists, records, and tables.
Distinguishing note: Focuses on the definition of data containers rather than their manipulation.
Explore 52 awesome GitHub repositories matching data & databases · Data Structure Definitions. Refine with filters or upvote what's useful.
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
Organizes data into lists, records, and tables to manage complex datasets.
Python is a high-level, interpreted programming language designed for readability and versatility. It operates via a bytecode-based virtual machine and manages memory automatically through reference-counting garbage collection. The language supports multiple programming paradigms, including object-oriented, imperative, and functional styles, and provides a comprehensive standard library for system operations, networking, and data handling. The language is distinguished by its dynamic nature, allowing for runtime object introspection and metaclass-driven class creation. It utilizes protocol-ba
Automatically generates initialization and representation methods for classes using type annotations.
Slint is a declarative user interface framework designed for building native graphical applications across desktop, mobile, and embedded platforms. It utilizes a specialized markup language to define reactive interface components, which are then compiled into optimized machine code to ensure high performance and minimal resource consumption. By separating visual structure from application logic, the framework enables developers to create consistent interfaces that run efficiently on hardware ranging from resource-constrained microcontrollers to high-end desktop systems. The framework distingu
Organizes data into named structures to manage complex state within the interface.
Blender is a professional 3D creation suite designed for modeling, animation, rendering, and video editing. It functions as an open-source 3D engine that provides a comprehensive framework for procedural geometry, physics simulation, and high-quality visual output. The platform is built upon a foundational architecture that utilizes data-block-based memory management and a dependency-graph-based evaluation system to handle complex scene transformations and geometry updates. The software distinguishes itself through a highly modular, node-based procedural architecture that allows users to cons
Exposes internal data structures with rich metadata including value ranges, units, and UI labels to drive interfaces and scripting APIs.
This project is a comprehensive technical interview preparation resource and computer science interview guide. It serves as an educational reference for developers to study core software engineering fundamentals and common coding patterns required for employment screenings. The repository provides detailed guides and references covering data structures and algorithms, networking and security, operating systems, and web development. It specifically focuses on the implementation and complexity analysis of sorting, searching, and graph algorithms. The material encompasses a wide breadth of comp
Provides educational content on Java's concise data-holding record syntax.
F Prime este un framework bazat pe componente, conceput pentru dezvoltarea și implementarea software-ului pentru sisteme embedded și zbor spațial. Acesta oferă o arhitectură modulară care decuplează logica software de interfețele de comunicare, permițând dezvoltatorilor să definească structurile sistemului printr-un limbaj de modelare specific domeniului. Această abordare bazată pe modele permite generarea automată de cod, asigurând consistența în topologii complexe de sistem, menținând în același timp contracte stricte de interfață între modulele software. Framework-ul se distinge prin sistemul său integrat de build și suita de operațiuni cu date la sol. Acesta automatizează întregul ciclu de viață al software-ului embedded, de la compilarea încrucișată și gestionarea dependențelor până la generarea interfețelor de telemetrie și comandă. Prin furnizarea unui mediu unificat atât pentru software-ul de zbor de la bord, cât și pentru monitorizarea la sol, facilitează integrarea, testarea și controlul sistemelor embedded distribuite pe diverse platforme hardware. Dincolo de arhitectura sa de bază, proiectul include instrumente cuprinzătoare pentru observabilitatea sistemului, inclusiv vizualizarea telemetriei în timp real, logarea evenimentelor și trasarea diagnosticelor. Acesta suportă o gamă largă de scenarii de implementare, de la medii bare-metal la sisteme de operare în timp real, și oferă mecanisme pentru gestionarea memoriei, modelarea comportamentului bazat pe stări și execuția asincronă a sarcinilor. Proiectul este menținut ca un depozit C++ cu documentație extinsă și suport pentru sistemul de build pentru dezvoltare multi-platformă.
Specifies custom data records and containers using a modeling language to organize system information for storage and transmission.
Electric is a Postgres data synchronization engine and replication proxy designed to enable local-first software. It replicates data from Postgres databases to client-side stores in real time using logical replication, allowing applications to maintain a local embedded database for offline access and low-latency updates. The system distinguishes itself by using shapes to filter and authorize specific subsets of database rows and columns before streaming them to clients or edge workers. It further supports multi-user collaboration by integrating a conflict-free replicated data type framework t
Allows the creation of personalized data structure definitions at runtime based on the current session and request.
SwiftGen is a tool that creates strongly typed Swift references for assets, strings, and storyboards to eliminate manual string-based APIs. It functions as a code generator that maps localization keys, static assets, and data models into typed source code using a template-based engine. The project uses custom templates to define the exact structure and syntax of the generated code. This allows the generated output to match specific project conventions while providing a flexible system for mapping translation keys and converting local files, colors, and fonts into typed constants. The tool co
Parses data models to create classes for entities including attributes, relationships, and fetch requests.
Xgo is a programming language that combines familiar constructs from languages like C/C++, Go, Python, and JavaScript with a natural language-style syntax that reads closer to plain English. It executes programs compatible with the Go language, allowing reuse of existing Go libraries and tooling, and supports mixing Go and XGo source files within a single package for gradual adoption of its simplified syntax. The language distinguishes itself through direct foreign function interface capabilities, enabling calls to C/C++ and Python libraries using specialized string literal syntax without man
Creates structured data types like structs, arrays, slices, and maps to organize information.
api-blueprint is a markdown-based API design language and specification standard used to define the structure, behavior, and data schemas of HTTP web services. It provides a formal method for mapping HTTP methods to resources and defining payload validation rules through a machine-readable syntax. The project functions as a blueprint for creating interactive technical documentation and functional mock servers. These tools transform design specifications into human-readable guides and simulated backend environments to enable integration testing before implementation. The language covers API m
Provides a markdown-based notation for defining the organization and attributes of message-body data.
pysheeet este o bibliotecă de referință tehnică ce oferă o colecție curatoriată de fragmente de cod și modele de implementare pentru dezvoltarea avansată în Python, integrarea sistemelor și calculul de înaltă performanță. Servește ca un ghid cuprinzător pentru implementarea programării de rețea de nivel scăzut, extensiilor native C și programării asincrone și concurente. Proiectul oferă framework-uri specializate pentru dezvoltarea și implementarea modelelor de limbaj mari, inclusiv instrumente pentru inferență distribuită pe GPU și servire de înaltă performanță. Include, de asemenea, modele detaliate pentru orchestrarea clusterelor de calcul de înaltă performanță, acoperind alocarea resurselor GPU și gestionarea sarcinilor de lucru pe mai multe noduri. Biblioteca acoperă o gamă largă de capabilități, inclusiv comunicarea securizată în rețea și criptografia, object-relational mapping și gestionarea bazelor de date, precum și implementarea structurilor de date și algoritmilor complecși. Oferă, de asemenea, utilitare pentru gestionarea memoriei, interoperabilitate nativă prin interfețe de funcții străine (FFI) și integrarea la nivel de sistem de operare.
Provides patterns for automatically generating boilerplate methods for classes used primarily for data storage.
This project is an interactive programming education resource and tutorial designed for learning the Rust programming language and systems programming concepts. It provides a collection of runnable and editable code examples that serve as a practical reference for language syntax and implementation. The resource features an interactive code sandbox that allows users to execute and test code snippets in real time. It emphasizes the verification of technical accuracy by executing embedded code blocks during the build process to ensure all examples remain functional. The content covers a compre
Teaches how to create complex data types using structures and enumerations.
Entitas is a data-oriented Entity Component System framework for Unity. It is designed to separate game state into components and logic into systems, utilizing a data-oriented design to optimize CPU cache usage, memory usage, and processing speed. The framework includes a C# source code generator that automatically produces boilerplate classes, entity accessors, and context singletons to reduce manual coding. It also provides a Unity editor debugging tool for real-time runtime state visualization, system performance monitoring, and visual entity inspection. The system manages entity lifecycl
Automatically generates classes and methods to clarify data-logic interactions and reduce manual coding effort.
BAML is a prompt engineering framework and LLM client generator that defines AI prompts as type-safe functions. It serves as a structured data extraction tool and workflow orchestrator, transforming unstructured model responses into strongly typed objects using a custom schema language and alignment algorithms. The project distinguishes itself by using a compiler to generate language-specific boilerplate code for API communication and output parsing. It features a dedicated environment for designing complex prompt templates with conditional logic and reusable snippets, and employs genetic alg
Creates arrays of primitive values or complex objects to pass as structured data to a prompt.
Noms is a distributed version control database and content-addressable data store. It identifies data by cryptographic hashes to ensure integrity and deduplication, while tracking dataset state changes through a sequence of immutable commits to enable branching, forking, and historical recovery. The system functions as a peer-to-peer data synchronizer, reconciling state between disconnected database instances to ensure all nodes converge on the same data. It distinguishes itself as a schema-flexible document store that supports self-describing types, allowing schemas to evolve and widen as ne
Provides self-describing types that allow data interoperability without requiring a prior schema agreement.
PSR-7 HTTP Message Interfaces is a set of standardized PHP interfaces for representing HTTP request and response messages, URIs, streams, and uploaded files as immutable value objects. These interfaces define a common contract that enables interoperability between PHP frameworks and libraries when handling HTTP messages, ensuring that any implementation can be used interchangeably. The interfaces model HTTP messages as immutable value objects where any modification produces a new instance, guaranteeing message integrity throughout the request lifecycle. They provide case-insensitive header ac
Defines a stream interface for HTTP message bodies as a core part of the PSR-7 standard.
sqlboiler is a database-first ORM generator for Go that analyzes an existing database schema to produce strongly typed structures and query helpers. It functions as a schema-driven code generator, transforming database tables and relationships into executable Go source code. The project distinguishes itself through a type-safe query builder that uses chainable modifiers to construct SQL statements, eliminating the need for raw string concatenation. It utilizes customizable text templates to generate source code, allowing for the aliasing of schema entities and the creation of custom templates
Generates language-specific data classes and helper methods based on an existing database schema.
Byte Buddy is a runtime code generation and bytecode manipulation library for Java. It provides a fluent API for creating and modifying Java classes during execution, enabling developers to define class structures, methods, and fields programmatically without requiring a compiler or direct bytecode assembly. The library supports agent-based class transformation, allowing loaded classes to be modified during JVM startup or runtime through a Java agent that intercepts class loading. It offers bytecode-level method interception for fine-grained control over method behavior, annotation-based code
Generates new Java classes during execution with arbitrary structures beyond simple proxies.
From Java To Kotlin - Your Cheat Sheet For Java To Kotlin
Demonstrates Kotlin data class syntax that auto-generates equals, hashCode, toString, and copy methods.
CUE is a constraint-based configuration language designed for data validation, schema definition, and code generation. At its core, it unifies types and values into a single concept, enabling compile-time validation that catches structural and value errors before runtime. The language treats data and constraints as the same thing, allowing a single definition to serve as both a schema and concrete configuration data. CUE distinguishes itself through its constraint-based unification engine, which combines multiple configuration sources into a single coherent result by merging their constraints
Defines reusable typed schemas that describe the shape and constraints of configuration data.