SDK to interact with the ICICLE Model & Data Playgrounds
Project description
ICICLE Playgrounds
SDK to interact with the ICICLE Model & Data Playgrounds
ICICLE Playgrounds is a Python SDK designed for working with AI plug-n-play frameworks powered by Tapis Workflows. This library provides standardized Pydantic models and tools for seamless integration with the ICICLE (Intelligent CyberInfrastructure with Computational Learning in the Environment) ecosystem.
Features
- 🔧 Plug-n-Play Framework: Built for easy integration with Tapis Workflows
- 📊 Pydantic Models: Type-safe data structures for AI workflows
- 🖼️ Image Processing: Support for image data handling and tensor operations
- 🎯 Detection Results: Standardized formats for AI model outputs
- 📋 Model Cards: PATRA (Partnership for Advanced Trusted Research in AI) model card support
- 🔍 Bias & XAI Analysis: Tools for bias analysis and explainable AI
Installation
This project uses uv for dependency management. Make sure you have Python 3.12+ installed.
# Install using uv
uv add icicle-playgrounds
# Or install from source
git clone <repository-url>
cd icicle-playgrounds
uv sync
Quick Start
from icicle_playgrounds.pydantic.plug_n_play import Image, Tensor, DetectionResults
from icicle_playgrounds.pydantic.patra_model_cards import PatraModelCard
# Work with images and tensors
image = Image(...)
tensor = Tensor(...)
# Handle detection results
results = DetectionResults(...)
# Create model cards
model_card = PatraModelCard(...)
Project Structure
icicle_playgrounds/
├── pydantic/
│ ├── plug_n_play/ # Core plug-n-play data models
│ │ ├── Image.py # Image handling
│ │ ├── Tensor.py # Tensor operations
│ │ └── DetectionResults.py # AI model output formats
│ └── patra_model_cards/ # PATRA model card implementations
Development
Prerequisites
- Python 3.12+
- uv package manager
Setup Development Environment
# Clone the repository
git clone <repository-url>
cd icicle-playgrounds
# Install dependencies
uv sync
# Install development dependencies
uv sync --group dev
Running Tests
# Run tests using pytest
uv run pytest
# Or using just (if available)
just test
Documentation Generation
This project includes a script to generate MDX documentation:
uv run python generate-mdx.py
Dependencies
- httpx - HTTP client for API interactions
- pillow - Image processing capabilities
- pydantic - Data validation and serialization
- torchvision - Computer vision utilities
Contributing
We welcome contributions! Please feel free to submit issues, feature requests, or pull requests.
License
This project is licensed under the terms specified in the LICENSE file.
About ICICLE
ICICLE (Intelligent CyberInfrastructure with Computational Learning in the Environment) is focused on developing AI-driven cyberinfrastructure solutions. This SDK facilitates integration with ICICLE's model and data playgrounds through standardized interfaces and workflows.
Support
For questions, issues, or support, please refer to the project's issue tracker or contact the ICICLE team.
Version: 0.1.5.4
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
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 icicle_playgrounds-0.1.5.5.tar.gz.
File metadata
- Download URL: icicle_playgrounds-0.1.5.5.tar.gz
- Upload date:
- Size: 21.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.8.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
af8219090a37773c4339da4a7ed21a26a675b8e999d6be9acfca793124738231
|
|
| MD5 |
bf09977851e963eb72b028fcda6a950b
|
|
| BLAKE2b-256 |
da8c1322cd0ea660ee715007573cb700d380f5e003c71d911a6696200fbd02f0
|
File details
Details for the file icicle_playgrounds-0.1.5.5-py3-none-any.whl.
File metadata
- Download URL: icicle_playgrounds-0.1.5.5-py3-none-any.whl
- Upload date:
- Size: 23.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.8.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1d12f7b4ad2bdd45c080994000a25312d0a55a35de2c21249d5dfd856d36b16b
|
|
| MD5 |
02239416da1753f48ed915a8d0db4998
|
|
| BLAKE2b-256 |
85df345f660b110c59fe1a0f3df400dee2f0a6ed744a0308d4af269f654815cd
|