Search Results for "random map generation"
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Showing 90 open source projects for "random map generation"
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Practically Random
statistical tests & psuedo- random number generators (RNGs, PRNGs)
Randon number generation & testing. The best suite of statistical tests for fast PRNGs anywhere. Multithreaded for speed, command line tools for automation, no upper limit on data size. Also, a variety of C++ pseudo-random number generators with well designed interfaces aimed at practical uses, not just research. -
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magic-string
Manipulate strings like a wizard
magic-string is a small JavaScript utility for editing strings while preserving accurate source maps. It is designed for compilers, bundlers, preprocessors, and code transformation tools that need to rewrite source code safely. The library lets developers overwrite, append, prepend, remove, move, and slice sections of text without losing track of where transformed content came from. This makes it especially useful when generated output still needs to map back to the original source for... -
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User Agents
A JavaScript library for generating random user agents with data
User Agents is a JavaScript library that generates realistic and up-to-date user agent strings and browser fingerprints based on real-world usage data. The library is designed to help developers simulate authentic browser traffic patterns, which is particularly useful in web scraping, testing, and automation scenarios. Unlike simpler random user agent generators, it uses frequency-weighted datasets to ensure that generated values reflect how browsers are actually used in the wild. The... -
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Hypothesis
The property-based testing library for Python
Hypothesis is a powerful library for property-based testing in Python. Instead of writing specific test cases, users define properties and Hypothesis generates random inputs to uncover edge cases and bugs. It integrates with unittest and pytest, shrinking failing examples to minimal reproducible cases. Widely adopted in production systems, Hypothesis boosts code reliability by exploring input spaces far beyond manually crafted tests. -
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Peacock for Visual Studio Code
Subtly change the color of your Visual Studio Code workspace
...The extension enables users to apply custom colors to various UI elements such as the title bar, activity bar, and status bar. It supports both predefined and user-defined colors, as well as random color generation for quick customization. Peacock integrates with features like Live Share and remote development, automatically adjusting colors based on the session context. It also allows fine-grained control over which UI elements are affected by the color changes. The extension stores settings within the workspace configuration, ensuring consistency across sessions. -
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faker-cxx
C++ Faker library for generating fake (but realistic) data
Faker C++ is a C++ library inspired by the popular Faker.js, aimed at providing developers with a robust tool for generating fake (but realistic) data. Whether you're building test suites, populating databases, or creating demos, Faker C++ has got you covered. -
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INI
Package ini provides INI file read and write functionality in Go
...Wide-range support of variant formats includes but is not limited to my.cnf, .gitconfig, or even unparseable sections. Automatically convert to native types of Go at no cost. Let you focus on the code logic and no more tedious conversions. Map your configuration to a user-defined struct{} to be more object-oriented. Map back and save when you get the work done. Auto-type conversion, candidate value limitation, quick slice generation, in-fly data validation. More than you can ever imagine! Multiple configuration load policies, custom data validation rules, key name and value mappers. ... -
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Underscore.js
JavaScript's utility belt
Underscore.js is a JavaScript utility-library created by Jeremy Ashkenas that provides a broad set of functions for working with arrays, objects, functions, and other data types — essentially a “utility belt” for functional programming in JS. Instead of extending built-in objects or modifying prototypes, Underscore provides its helpers in a single _ namespace, enabling cross-browser support and consistent behaviour across environments. It offers map/filter/reduce, deep-cloning, templating,... -
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Fluent Bit Plugin for CloudWatch Logs
A Fluent Bit output plugin for CloudWatch Logs
...The plugin can also retrieve credentials from a shared credentials file, or from the standard AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_SESSION_TOKEN environment variables. A template in the form of $(variable) can be set in log_group_name or log_stream_name. variable can be a map key name in the log message. To access sub-values in the map use the form $(variable['subkey']). Also, it can be replaced with special values to insert the tag, ECS metadata, or a random string in the name. It can achieve higher throughput and will consume less CPU and memory. -
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MathPHP
Powerful modern math library for PHP
Math PHP is a library that brings advanced mathematical functions and data analysis capabilities to PHP applications. It covers a wide range of topics, including linear algebra, calculus, statistics, probability, and numerical analysis. Math PHP is designed for developers and data scientists who require precise and efficient mathematical computations in PHP, making it suitable for scientific computing and data processing. -
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GPTImage2Skill
GPT Image 2 prompt gallery, image prompt library, agentic skill
GPTImage2Skill is a curated prompt gallery, agent skill, and command-line workflow for working with GPT Image 2 generation and editing. It provides reusable image prompts across creative, technical, academic, interface, design, photography, typography, gaming, anime, map, tattoo, and reference-editing use cases. The project is designed to help agents and users produce stronger visual outputs without starting from a blank prompt every time. Its gallery is organized into category files so an agent can load only the relevant prompt references instead of overwhelming the context window. ... -
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Lucky
A full-featured Crystal web framework that catches bugs for you
...Instead of finding bugs in QA or in production, Lucky is designed to catch as many bugs as possible at compile time. Lucky uses Action classes for handling HTTP requests and responses. The classes map the routes and parameters it handles to a response block. Lucky can generate these classes for you with ’lucky gen.action`. Using a class per action provides very solid automatic error detection, as well as the generation of routing, path, and link helpers and methods. -
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Smallpond
A lightweight data processing framework built on DuckDB and 3FS
smallpond is a lightweight distributed data processing framework built by DeepSeek, designed to scale DuckDB workloads over clusters using their 3FS (Fire-Flyer File System) backend. The idea is to preserve DuckDB’s fast analytics engine but lift it from single-node to multi-node settings, giving you the ability to operate on large datasets (e.g. petabyte scale) without moving to a heavyweight system like Spark. Users write Python-like code (via DataFrame APIs or SQL strings) to express... -
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bignumber.js
A JavaScript library for arbitrary-precision decimal arithmetic
...Replicates the toExponential, toFixed, toPrecision and toString methods of JavaScript's Number type. Includes a toFraction and a correctly-rounded squareRoot method. Supports cryptographically secure pseudo-random number generation. Wide platform compatibility, uses JavaScript 1.5 (ECMAScript 3) features only. If a smaller and simpler library is required see big.js. It's less than half the size but only works with decimal numbers and only has half the methods. It also has fewer configuration options than this library, and does not allow NaN or Infinity. ... -
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CubeFS
cloud-native file store
CubeFS is a new generation cloud-native storage that supports access protocols such as S3, HDFS, and POSIX. It is widely applicable in various scenarios such as big data, AI/LLMs, container platforms, separation of storage and computing for databases and middleware, data sharing and protection, etc. Compatible with various access protocols such as S3, POSIX, HDFS, etc., and the access between protocols can be interoperable. Support replicas and erasure coding engines, users can choose... -
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Simplex Noise.js
A fast simplex noise implementation in Javascript / Typescript
A JavaScript library for generating Simplex noise, a smoother alternative to Perlin noise for procedural content. -
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Abscom
A C11 library of reusable data structures and platform utilities.
Abscom bundles low-level building blocks — dynamic arrays, growable strings, hash functions, an open-addressing hash map, timing helpers, and simple file I/O — under a single umbrella header. On top of that it ships a Python-inspired dynamic runtime that brings var values, lists, dictionaries, sets, JSON, random utilities, and a light object system to plain C, plus a scientific layer with matrices, statistics, general math (scalar utilities, number theory, geometry, complex numbers), CSV, path helpers, and basic threading. ... -
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.NET Bindings
.NET runtime bindings for WFMATH
This project is a subproject of the WFMATH library, a library providing several complex mathematical primitives. This library will allow .NET programmers to use WFMATH in their code. -
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PWSLIB3
Password Safe encrypted databases, Java library
Java module to create, read and write Password Safe V3 encrypted databases. The package is a mature offspring from project JPasswords and can be used with Java 1.8. There is an API document available. -
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corlpack
Ada Library for heterogenous vectors
Corlpack consists of a library and tools aiming to simplify and accelerate programming of small, scientific, computational applications. One of the planned features is the loading and saving of a variety of research data into a single generic data structure, that is much like the named list from R, thus removing the need to learn many data access APIs. -
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Memory Layout Specification Tool
A tool for generating memory maps for low-level and embedded systems.
The Memory Layout Specification Tool (MLST) is a file specification and a collection of tools for conveying the contents of a memory map. MLST can take an appropriately formatted specification and create both a representation of the memory map for a assembler and documentation from the input file. -
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Argh
Rust derive-based argument parsing optimized for code size
argh is a tiny, pragmatic command-line argument parsing library that favors simple, readable code over elaborate configuration. It’s designed for the case where you just want to declare a few flags, accept some positional arguments, and print helpful usage text without wiring up a heavy framework. The API is intentionally compact so you can parse arguments inline near main() and map them straight into native types. It supports short and long options, boolean switches, and key–value flags... -
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Yocto/GL
Yocto/GL: Tiny C++ Libraries for Data-Driven Physically-based Graphics
Yocto/GL is a collection of small C++17 libraries for building physically-based graphics algorithms released under the MIT license. Yocto/GL is written in a deliberately data-oriented style for ease of development and use. Yocto/GL is split into small libraries to make code navigation easier. See each header file for documentation. Simple shape data structure, utilities for manipulating triangle meshes, quads meshes and line sets, computation of normals and tangents, linear and Catmull-Clark... -
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TDG - Test data generator
Test dataset generator with export options to database, csv and json
An utility capable of producing simple datasets with test data with accordance to user-provided patterns and settings. Datasets can be afterwards exported to JSON and CSV files as well as to database table. At moment, SQL Server and PostgreSQL export providers implemented. -
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YOLOV4 Pytorch
This is a source code for YoloV4-pytorch that can be used to train you
YOLOV4 Pytorch is a PyTorch implementation of the YOLOv4 object detection model for training and running custom detection systems. The repository is structured around practical workflows, including training, prediction, evaluation, anchor generation, model configuration, and dataset annotation utilities. It supports VOC-style datasets and includes scripts for prediction, mAP evaluation, FPS testing, video prediction, batch prediction, and heatmap generation. The project added multi-GPU training, seed settings for reproducible results, adaptive learning rate behavior based on batch size, and both step and cosine learning rate schedules. ...
