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CloudExplain

Supported Versions

CloudExplain supports a wide range of Python versions and popular machine learning frameworks. Our containerized environment ensures consistent explanation generation across different setups. While other framework versions may work, the versions listed below have dedicated support and testing.

Python Versions
Python 3.11 stable
Python 3.12 stable
Python 3.13 latest
ML Frameworks
🤖 scikit-learn 6 versions
🧠 TensorFlow 2 versions
🔥 PyTorch 1 versions
🚀 XGBoost 1 versions
⚡ LightGBM 1 versions
🐱 CatBoost 1 versions
Containerized
Isolated environments
Consistent dependencies
Reproducible results

Python Version Support

Python 3.11
stable
6 frameworks supported

Fully supported with all frameworks

🤖 scikit-learn🧠 TensorFlow🔥 PyTorch🚀 XGBoost⚡ LightGBM🐱 CatBoost
Python 3.12
stable
4 frameworks supported

Fully supported with latest frameworks

🤖 scikit-learn🧠 TensorFlow🔥 PyTorch🚀 XGBoost
Python 3.13
latest
4 frameworks supported

Latest Python with cutting-edge framework support

🤖 scikit-learn🧠 TensorFlow🔥 PyTorch🚀 XGBoost

ML Framework Support

🤖
scikit-learn

Industry-standard machine learning library

Supported Versions:

1.5.0 Python 3.11
3.11
1.5.1 Python 3.11
3.11
1.5.2 Python 3.11, 3.12, 3.13
3.113.123.13
1.6.0 Python 3.11, 3.12, 3.13
3.113.123.13
1.6.1 Python 3.11, 3.12, 3.13
3.113.123.13
1.7.0 Python 3.12, 3.13
3.123.13

Compatibility Matrix

Framework & Python Version Compatibility

Quick reference for supported combinations of Python versions and ML frameworks

FrameworkLatest VersionPython 3.11Python 3.12Python 3.13
🤖 scikit-learn
1.7.0—
🧠 TensorFlow
2.19.0—
🔥 PyTorch
1.0.2
🚀 XGBoost
2.1.3
⚡ LightGBM
4.5.0——
🐱 CatBoost
1.2.7——

Support Levels

Dedicated Support

Framework versions with dedicated containers and guaranteed compatibility

The versions listed in our compatibility matrix have:

  • Dedicated Docker containers with optimized dependencies
  • Comprehensive testing and validation
  • Performance optimization and tuning
  • Priority support and bug fixes
Compatible Versions

Other framework versions that may work through automatic compatibility matching

CloudExplain may work with other framework versions by:

  • Automatic selection of the closest compatible container
  • Fallback to best-effort compatibility mode
  • Community-driven compatibility reports
  • No guarantee of optimal performance or full feature support
Container Architecture

Each Python and framework combination runs in its own containerized environment, ensuring:

  • Dependency isolation and conflict prevention
  • Reproducible explanation generation
  • Consistent performance across environments
  • Secure execution boundaries
Version Updates

We regularly update our supported versions to include:

  • Latest stable releases of supported frameworks
  • New Python versions as they become stable
  • Security patches and bug fixes
  • Performance optimizations