Skip to main content

Minimalistic dynamic library which is an ORM written in C and C++.

Project description

Arnelify Logo

Arnelify ORM for Python C++ G++ Python Nuitka

🚀 About

Arnelify® ORM for Python - is a minimalistic dynamic library which is an ORM written in C and C++.

📋 Minimal Requirements

Important: It's strongly recommended to use in a container that has been built from the gcc v14.2.0 image.

  • CPU: Apple M1 / Intel Core i7 / AMD Ryzen 7
  • OS: Debian 11 / MacOS 15 / Windows 10 with WSL2.
  • RAM: 4 GB

📦 Installation

Installing via pip:

pip install arnelify-orm

🎉 Usage

Install dependencies:

make install

Compile library:

make build

Compile & Run test:

make test_nuitka

Run test:

make test

📚 Code Examples

Configure the C/C++ IntelliSense plugin for VSCode (optional).

Clang_format_fallback = Google

IncludePath for VSCode (optional):

"includePath": [
  "/opt/homebrew/opt/jsoncpp/include/json",
  "/opt/homebrew/opt/mysql-client/include"
],

You can find code examples here.

⚖️ MIT License

This software is licensed under the MIT License. The original author's name, logo, and the original name of the software must be included in all copies or substantial portions of the software.

🛠️ Contributing

Join us to help improve this software, fix bugs or implement new functionality. Active participation will help keep the software up-to-date, reliable, and aligned with the needs of its users.

⭐ Release Notes

Version 0.7.5 - Minimalistic dynamic library

We are excited to introduce the Arnelify ORM dynamic library for Python! Please note that this version is raw and still in active development.

Change log:

  • Minimalistic dynamic library
  • NodeJS (Bun) addon
  • Multi-Threading
  • Significant refactoring and optimizations

Please use this version with caution, as it may contain bugs and unfinished features. We are actively working on improving and expanding the ORM's capabilities, and we welcome your feedback and suggestions.

🔗 Mentioned

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

arnelify_orm-0.7.5.tar.gz (16.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

arnelify_orm-0.7.5-cp311-cp311-manylinux2014_x86_64.whl (434.0 kB view details)

Uploaded CPython 3.11

File details

Details for the file arnelify_orm-0.7.5.tar.gz.

File metadata

  • Download URL: arnelify_orm-0.7.5.tar.gz
  • Upload date:
  • Size: 16.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.2

File hashes

Hashes for arnelify_orm-0.7.5.tar.gz
Algorithm Hash digest
SHA256 b68606dd5cb4b7a42848683df091c9094d152bd2d1860b2e15d169f45a7ed0c7
MD5 17e56c2ee7b81ac554b0eeadafaf9796
BLAKE2b-256 5a644e2124d38fc51f19f2ae67fa8f2b6a2647135c56d367dbd633c4b6fb0311

See more details on using hashes here.

File details

Details for the file arnelify_orm-0.7.5-cp311-cp311-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arnelify_orm-0.7.5-cp311-cp311-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 64b11917b4defe1b686ccfe733f9d4bc10a8f6ed64048498ae613cd2969df24f
MD5 2a6ad0d6f27996b771feacc6a4ee672a
BLAKE2b-256 3c72be8f5e6f860365c40b1a5efacd027bccbc48356dd4ddef217ebaec02857d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page