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nvzqz avatar

nvzqz/RandomKit

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nvzqz.github.io/RandomKit/docs↗

RandomKit

Random data generation in Swift

Features

  • Development Utilities - Comprehensive random data generation for Swift.

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  • General Utilities - Random data generation.
  • 1,457 stars·90 forks·Swift·12 views

    Star history

    Star history chart for nvzqz/randomkitStar history chart for nvzqz/randomkit

    How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

    Frequently asked questions

    What does nvzqz/randomkit do?

    Random data generation in Swift

    What are the main features of nvzqz/randomkit?

    The main features of nvzqz/randomkit are: Development Utilities, General Utilities.

    Which projects share features with nvzqz/randomkit?

    Projects with overlapping indexed features include: astral-sh/uv — uv is a high-performance Python package manager and project build tool designed to handle dependency resolution,… filipw/dotnet-script — Run C# scripts from the .NET CLI. anrieff/libcpuid — a small C library for x86 CPU detection and feature extraction. antirez/sds — sds is a C dynamic string library that provides a memory management wrapper for heap-allocated strings. It implements… facebookresearch/hydra — Hydra is a hierarchical configuration framework and type-safe configuration manager. It is designed to manage complex… imdario/mergo — Mergo: merging Go structs and maps since 2013.

    Projects sharing features with RandomKit

    These projects share indexed features with RandomKit. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
    • antirez/sdsantirez avatar

      antirez/sds

      5,590View on GitHub↗

      sds is a C dynamic string library that provides a memory management wrapper for heap-allocated strings. It implements binary-safe storage by tracking string lengths explicitly, allowing the library to handle null characters within data. The library distinguishes itself through a memory architecture that uses interchangeable function pointers for allocation and freeing, enabling the integration of custom memory managers. It utilizes header-stored length tracking to provide constant-time length retrieval and maintains null-terminated buffer padding to ensure compatibility with standard C string

      C
      View on GitHub↗5,590
    • astral-sh/uvastral-sh avatar

      astral-sh/uv

      91,740View on GitHub↗

      uv is a high-performance Python package manager and project build tool designed to handle dependency resolution, virtual environment orchestration, and Python interpreter management. It functions as a comprehensive workspace orchestrator, enabling developers to manage complex, multi-package repositories and ensure reproducible builds across different platforms. The tool distinguishes itself through its use of a global, content-addressable cache and hard-link-based environment provisioning, which allow for near-instant environment creation and minimal disk usage. It employs a high-performance

      Rustpackagingpythonresolver
      View on GitHub↗91,740
    • anrieff/libcpuidanrieff avatar

      anrieff/libcpuid

      532View on GitHub↗

      a small C library for x86 CPU detection and feature extraction

      C
      View on GitHub↗532
  • facebookresearch/hydrafacebookresearch avatar

    facebookresearch/hydra

    10,449View on GitHub↗

    Hydra is a hierarchical configuration framework and type-safe configuration manager. It is designed to manage complex application settings through composable configuration files and command-line overrides, ensuring that configuration values match expected data types during instantiation. The framework functions as a dynamic object instantiator that creates class instances directly from hierarchical configuration values and nested objects. It also operates as a hyperparameter sweep orchestrator and cluster job launcher, enabling the execution of multiple application runs across parameter range

    Python
    View on GitHub↗10,449
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