An AI-powered Python library for context-aware data cleaning using local LLMs
Project description
AILLMClean 🧹✨
An AI-powered Python package architecture for intelligent, context-aware automated data cleaning using both Local LLMs (Ollama) and high-performance Cloud AI APIs (Google Gemini, Groq, OpenAI).
🚀 Key Architectural Advantages
- Universal AI Engine: Seamlessly switch between local offline models and cloud-based hyper-fast APIs.
- Hybrid Deployment: Run 100% locally via Ollama for complete data privacy, or use Cloud APIs for resource-constrained endpoints (like mobile/servers).
- Context-Aware Imputation: Resolves missing entries intelligently by treating surrounding features as semantic contextual meta-layers.
📦 Installation & Setup
1. Setup Library Dependencies
pip install -r requirements.txt
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
aillmcleaner-0.1.0.tar.gz
(5.7 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 aillmcleaner-0.1.0.tar.gz.
File metadata
- Download URL: aillmcleaner-0.1.0.tar.gz
- Upload date:
- Size: 5.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8f07d68465da28d25bd0b72b4b4e4e8059f2a8a769c5461a66ce5f98ee90d520
|
|
| MD5 |
148f62271045786a7f8ca4394d5b9617
|
|
| BLAKE2b-256 |
fa49e94b5053bf18f4f3fed1130b5bda6008ce05a6c0a3d9d2bf1360e71df800
|
File details
Details for the file aillmcleaner-0.1.0-py3-none-any.whl.
File metadata
- Download URL: aillmcleaner-0.1.0-py3-none-any.whl
- Upload date:
- Size: 6.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
283dce8c9cf6ef3728baacd1e85137f7fcf955e642a86a1be1b862e72fe331cb
|
|
| MD5 |
8e483bd873fbeb5729694cd95c046dcf
|
|
| BLAKE2b-256 |
d68d313a08b8ea9081461a80a0a401576136fa0922dc6f88a2bb497239dbd994
|
