31 dépôts
Field types specifically for handling and validating numeric data.
Distinguishing note: No candidates provided; grouping under Data & Databases as it pertains to field types.
Explore 31 awesome GitHub repositories matching data & databases · Numeric Fields. Refine with filters or upvote what's useful.
Payload is a headless content management system and application framework that uses a code-first approach to define data schemas and administrative interfaces. By utilizing a centralized, type-safe configuration object, it automatically generates database schemas, API endpoints, and a fully customizable admin panel. The system is built on a database-agnostic architecture, allowing it to interface with various storage engines while providing a unified, type-safe API for server-side operations, REST, and GraphQL. What distinguishes Payload is its deep extensibility and developer-centric design.
Stores and validates numeric data with support for indexing and uniqueness constraints.
SpringAll is a comprehensive reference library and learning resource for enterprise Java application development. It provides a collection of practical guides, configuration templates, and code examples designed to demonstrate standard architectural patterns within the Spring ecosystem. The project serves as a reference
Defines precise storage constraints for numeric fields to ensure data accuracy.
Yup is a JavaScript schema validation library used to define data shapes and validate runtime values. It functions as an object schema validator and a data coercion engine, allowing developers to transform raw input values into desired types before performing validation checks. The library is distinguished by its support for dynamic schema validation, where rules can be adjusted at runtime based on sibling field values or external context. It also enables recursive data structuring for polymorphic fields and provides a system for extracting static TypeScript interfaces from runtime schema def
Enforces numeric limits including minimum and maximum values through comparison validators.
simdjson is a high-performance, header-only C++ library designed for parsing, querying, and serializing JSON data with minimal memory overhead. It functions as a hardware-aware data processing engine that leverages vector instructions to achieve gigabyte-per-second parsing speeds. By detecting host processor capabilities at runtime, the library automatically selects the most efficient instruction sets to accelerate structural analysis and validation. The library distinguishes itself through a focus on extreme efficiency and resource management. It utilizes memory mapping and padded buffer ali
Retrieves numeric data from parsed documents as string representations to preserve precision and prevent conversion errors with large numbers.
Nautilus Trader is a high-performance algorithmic trading framework built in Rust, designed for the development, backtesting, and live execution of automated trading strategies. It provides a comprehensive platform for managing multi-asset portfolios and interacting with diverse financial markets through a standardized connectivity suite. The system is engineered to handle high-frequency data processing and complex order execution while maintaining precise numerical accuracy across various asset classes. The framework distinguishes itself through an architecture centered on deterministic even
Allows configuration of internal bit-width for financial calculations to balance performance and decimal accuracy.
This project is a Python framework for building command-line interfaces by converting standard functions into executable programs. It uses type hints to automatically infer and generate argument parsers, validation logic, and help documentation, allowing developers to define complex terminal applications through simple function signatures. The framework distinguishes itself through a decorator-driven registration system that enables the construction of hierarchical command trees. It supports dependency injection to manage shared state and runtime configuration across subcommands, and it utili
Enforces numeric constraints such as minimum and maximum ranges on command-line arguments.
Sass is a stylesheet compilation engine and CSS preprocessor that extends standard CSS with variables, nested rules, mixins, and functions. It functions as a comprehensive design system tool, enabling developers to organize complex stylesheets into modular, reusable components while automating the transformation of advanced syntax into browser-compatible CSS. The project distinguishes itself through its sophisticated build automation and language-level extensibility. It provides robust support for programmatic style generation, including conditional logic, iterative loops, and unit-aware math
Standardizes floating point calculations and serialization to fixed decimal accuracy.
This project is a header-only C++ library designed for graphics mathematics, providing a comprehensive suite of vector, matrix, and quaternion types. It is built using template metaprogramming to generate mathematical primitives at compile time, eliminating the need for precompiled binary libraries and allowing for direct integration into existing build systems. The library is distinguished by its strict adherence to the OpenGL Shading Language specification, ensuring that mathematical results remain consistent across both CPU and GPU code. It provides specialized utilities for managing float
Provides specialized epsilon-based comparison and rounding utilities to ensure numerical stability in graphics calculations.
Numeral-js is a JavaScript number formatting library used to convert raw numeric values into human-readable strings for currencies, percentages, and abbreviations. It includes a numeric string parser to extract raw values from formatted strings by removing symbols and delimiters. The library provides locale-aware formatting to adjust decimal separators and currency symbols based on regional language settings. It also features a data size converter that transforms byte values into readable measurements using base-1000 or base-1024 standards. The system supports the registration of custom form
Extracts raw numeric values from formatted strings using regular expression patterns to preserve precision.
Sonic is a high-performance Go JSON serialization library that provides tools for encoding and decoding native data structures. It functions as a JIT-accelerated encoder, a JSON AST parser, a stream processor, and a lazy decoder. The project utilizes just-in-time machine code generation to optimize the encoding of large data schemas and employs a JIT assembler to maximize serialization and deserialization speeds. It features a precompiled schema warmup process to prevent latency spikes during initial execution and leverages SIMD hardware instructions for accelerated parsing. The library cove
Allows treating numbers as strings or integers during decoding to preserve exact numeric precision.
Home Assistant is a local home automation platform and server that acts as an IoT device orchestrator. It integrates diverse smart home hardware by wrapping third-party APIs into a standardized logic layer and stores all system state and historical statistics on local hardware to eliminate cloud dependencies. The system functions as a Matter IoT controller and an MQTT home automation bridge, allowing for local interoperability between different manufacturers. It features a state-based entity model and an internal event bus that decouple physical device logic from system automation. The platf
Validates if an entity state or attribute falls above or below specified numeric thresholds.
CatBoost is a gradient boosting machine learning library used to train decision tree ensembles for regression, classification, and ranking tasks. It functions as a high-performance framework that provides a categorical data processor for transforming non-numeric features, a distributed trainer for large-scale datasets, and GPU acceleration to speed up model construction. The library distinguishes itself through native handling of categorical data and text features, removing the need for manual encoding. It includes a specialized model interpretability tool that leverages SHAP values and featu
Caps the number of splits considered for numerical features to accelerate training when using a GPU.
Chai is an assertion library for Node.js and browser-based JavaScript applications. It functions as both a behavior-driven development and test-driven development framework, providing a system to verify code outputs, application state, and general logic. The project is an extensible validation engine that uses a plugin-based system to allow the registration of custom assertions and specialized data checks. It supports multiple modular assertion styles to accommodate different validation philosophies. The library covers a broad range of data validation capabilities, including the inspection o
Verifies if a number is strictly greater than or less than a specified value to ensure numerical boundaries are respected.
decimal.js est une bibliothèque JavaScript de précision arbitraire conçue pour effectuer des calculs mathématiques sans les erreurs d'arrondi associées aux nombres à virgule flottante standard. Elle fournit une boîte à outils mathématique de haute précision pour exécuter des opérations arithmétiques de base et des fonctions transcendantes avancées avec un nombre de chiffres significatifs configurable. La bibliothèque implémente des calculs basés sur les décimaux qui prennent en charge divers modes d'arrondi et paramètres de précision arbitraire. Elle inclut un analyseur de chaînes numériques pour convertir des chaînes décimales, hexadécimales, binaires et octales en types numériques de haute précision, ainsi qu'un utilitaire pour transformer des valeurs décimales de haute précision en fractions avec des dénominateurs contraints. Les domaines de capacité couvrent l'arithmétique de base, la comparaison de valeurs de haute précision et des fonctions mathématiques avancées telles que les racines, les exposants, les logarithmes et la trigonométrie. La boîte à outils fournit également un formatage de sortie numérique et une génération de nombres aléatoires sécurisée utilisant l'entropie système.
Allows users to set global or instance-level rules for significant digits and rounding modes to control calculation precision.
ArduinoJson is a C++ library for parsing and manipulating JSON data and MessagePack binary streams on microcontrollers with limited memory and processing power. It provides the core primitives necessary for embedded data serialization and parsing, enabling devices to exchange structured data over serial or network interfaces. The library is distinguished by its focus on microcontroller memory management, employing strategies such as pool-based allocation, string deduplication, and non-owning string views to minimize RAM usage. It further optimizes for constrained environments by allowing cons
Balances accuracy and memory usage by allowing selection of precision levels for numeric types.
bignumber.js est une bibliothèque JavaScript de précision arbitraire conçue pour effectuer des opérations mathématiques sur des décimaux et des entiers qui dépassent les limites des nombres à virgule flottante standard. Elle fonctionne comme un moteur d'arithmétique décimale et une bibliothèque mathématique pour calculer des racines carrées, des puissances et l'exponentiation modulaire. Le projet fournit un utilitaire de conversion de base capable d'analyser et de traduire des valeurs numériques entre n'importe quelle base de 2 à 36. Il inclut également un outil de formatage numérique pour rendre des valeurs de haute précision en chaînes localisées avec des séparateurs et des styles de notation personnalisés. La bibliothèque couvre un large éventail de capacités, y compris l'arithmétique de précision arbitraire, des règles d'arrondi configurables et des comparaisons de valeurs de haute précision. Elle fournit également des outils pour la conversion de décimal en fraction et la génération de nombres aléatoires cryptographiquement sécurisée.
Extracts numeric values from strings containing non-numeric characters such as currency symbols or group separators.
Rockstar is an esoteric programming language whose syntax is inspired by 1980s hard rock and heavy metal lyrics, making programs read like song lyrics. It uses poetic number literals, where the length of each word in a phrase is parsed as a decimal digit to initialize numeric variables, and pronoun-based variable references, where words like "it" and "they" resolve to the most recently assigned or compared variable at runtime. The language can be compiled to WebAssembly and run inside a web page for in-browser code execution. The language distinguishes itself through a lyric-driven parsing sy
Supports writing numeric literals as fixed-precision decimals up to 29 digits.
SVGOMG is a browser-based SVG minification tool that applies SVGO transformations entirely on the client side. It processes SVG files in a Web Worker to keep the user interface responsive, then displays the original and optimized file sizes side by side, including gzipped size estimates. The tool provides a live preview of the optimized SVG markup, rendered directly in the browser for immediate visual feedback. Users can configure which SVGO optimization plugins are enabled or disabled, set numerical precision for coordinates and transforms, and optionally pretty-print the output. Multiple op
Sets decimal places for SVG coordinates and transforms to balance file size against visual accuracy.
is-thirteen est une bibliothèque de validation de nombres et un vérificateur d'égalité numérique conçu pour vérifier si une entrée donnée est égale à la valeur treize. Il fonctionne comme un outil de classification de données qui identifie cette valeur spécifique à travers des flux d'entrées numériques, textuelles et visuelles. Le projet inclut un classificateur de nombres basé sur l'image qui utilise le deep learning et l'analyse par réseau de neurones pour identifier des représentations visuelles du nombre treize au sein d'images téléchargées. La bibliothèque couvre une variété de méthodes de validation, incluant l'égalité arithmétique exacte, la correspondance de valeur approximative dans des plages de tolérance définies, le parsing de notation scientifique et la correspondance de motifs linguistiques pour les formes écrites du nombre.
Provides rules for comparing numeric field values against the target value of thirteen.
Ce projet est une ressource éducative complète et une série de tutoriels pour apprendre le scripting Bash et la programmation shell. Il sert de guide technique et de manuel de référence pour écrire des scripts d'automatisation et créer des outils réutilisables dans un environnement Linux. Le matériel se concentre sur l'automatisation DevOps et SysOps, couvrant le développement d'outils en ligne de commande personnalisés, l'automatisation de l'administration système et l'implémentation de l'automatisation de la sécurité telle que la génération de mots de passe aléatoires et la protection DDoS. La portée englobe les fondamentaux du langage, notamment les variables, les boucles et la logique conditionnelle, ainsi que des capacités opérationnelles comme la surveillance de la santé du système, la synthèse des logs de serveurs web et la gestion de serveurs distants via SSH. Il aborde également l'interaction avec le terminal via la construction de menus interactifs, le formatage de sortie et l'aliasing de commandes. Le contenu est structuré sous forme de guides, d'un ebook et d'une référence de scripting.
Implements logical comparisons for numerical values to determine equality, ordering, and parity.