A multi-domain advanced Python mega-framework: AI, physics, automation, UI, sound engines, data science, creativity tools, and fun modules.
Project description
HyperQuantum_
HyperQuantum_ is an advanced multi-domain Python mega-framework combining:
🔬 Scientific + Math
- Mini NumPy
- Scientific utilities
- Random + math enhancement modules
🤖 AI + Automation
- AI assistant module
- DataKit (AI-oriented data tools)
- Browser automation (WebAuto)
- System network manager (SysNetFS)
🎮 Game & Physics Engines
- Hybrid 2D/3D capable game engine
- Physics2D engine
- Animator2D advanced system
🖥 UI & UX Tools
- MyUI (window + widget builder)
- UIExtra (advanced UI utilities)
🔊 Audio & Voice Engines
- AudioKit with text-to-speech
- Voice input processing
🎨 Creative, Fun & Random
- StoryForge writer
- FunBox jokes/memes/dungeons
- ChaosArt generative art
📦 Installation
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
hyperquantum-0.1.0.tar.gz
(66.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file hyperquantum-0.1.0.tar.gz.
File metadata
- Download URL: hyperquantum-0.1.0.tar.gz
- Upload date:
- Size: 66.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: Hatch/1.16.0 cpython/3.12.2 HTTPX/0.28.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
53fe13ebca2b7201bff1635b0d71287b95473bd88ec2ba8fd9bb0daffc8f5fe7
|
|
| MD5 |
034998040dfd92f9a3c5017f75d920e9
|
|
| BLAKE2b-256 |
1fa0f73c7c88fa45be689859093460e74bc321271ae064336f09c1ab1a589f98
|
File details
Details for the file hyperquantum-0.1.0-py3-none-any.whl.
File metadata
- Download URL: hyperquantum-0.1.0-py3-none-any.whl
- Upload date:
- Size: 71.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: Hatch/1.16.0 cpython/3.12.2 HTTPX/0.28.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
727bd973a074b9a94e5690705da82a78b2281da1a52ae5ad8164710724199c49
|
|
| MD5 |
cec66d1176d8f2c635b61918552de54d
|
|
| BLAKE2b-256 |
6fd3e56ba3533a88b90c803a899fdcb79086fae3331fca8c4b9570a58e66e5e2
|