Metadata-Version: 2.1
Name: ordicanis
Version: 2.0.0
Summary: Advanced Collaboration Platform with Microservices Architecture
Author-email: jdevseer <support@ordicanis.io>
License: MIT
Project-URL: Documentation, https://docs.ordicanis.io
Project-URL: Source, https://github.com/jdevseer/ordicanis
Project-URL: Tracker, https://github.com/jdevseer/ordicanis/issues
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: aioredis>=2.0.0
Requires-Dist: psutil>=5.8.0
Requires-Dist: opentelemetry-api>=1.11.0
Requires-Dist: opentelemetry-sdk>=1.11.0
Requires-Dist: jwt>=1.3.1
Requires-Dist: bcrypt>=3.2.0
Requires-Dist: cryptography>=3.4.7
Requires-Dist: networkx>=2.6.3
Requires-Dist: docker>=5.0.3
Requires-Dist: nvidia-ml-py>=11.495.46
Requires-Dist: torch>=1.9.0
Requires-Dist: scikit-learn>=0.24.2
Requires-Dist: pandas>=1.3.0
Requires-Dist: numpy>=1.21.0

# Ordicanis - Advanced Collaboration Platform

![Version](https://img.shields.io/badge/version-2.0.0-blue.svg)
![License](https://img.shields.io/badge/license-MIT-green.svg)
![Python](https://img.shields.io/badge/python-3.8+-yellow.svg)

## 🚀 Latest Updates (v2.0.0)

Major enhancements to our microservices architecture with powerful new features:

### 🔒 Advanced Security System
- Multi-factor authentication
- Role-based access control (RBAC)
- Zero-trust architecture
- Real-time threat detection
- Certificate management
- Key rotation
- Security analytics
- Comprehensive audit logging

### 📊 Sophisticated Monitoring
- Health monitoring
- Performance tracking
- Distributed tracing
- Log aggregation
- Metric collection
- Alert management
- Real-time visualization
- Trend analysis

### ⚡ High-Performance Cache
- Multi-level caching (Memory, Redis, Disk)
- Cache coherence
- Smart eviction policies
- Cache warming
- Performance statistics
- Automatic invalidation
- Cache replication
- Self-optimization

### 🏗️ Core Features
- **Distributed Database System**: Multi-model support, sharding, replication
- **Machine Learning Pipeline**: Distributed training, model deployment
- **Real-time Analytics**: Stream processing, anomaly detection
- **Workflow Orchestration**: Task scheduling, dependency management
- **Resource Management**: Allocation, monitoring, optimization

## 🛠️ Installation

```bash
pip install ordicanis
```

## 📋 Requirements

- Python 3.8+
- Redis
- PostgreSQL
- Docker (optional)

## 🚦 Quick Start

```python
from ordicanis import Platform

# Initialize the platform
platform = Platform()

# Configure security
platform.security.configure(
    mfa_required=True,
    session_timeout=1800
)

# Set up monitoring
platform.monitoring.add_monitor(
    name="system_health",
    metrics=["cpu", "memory", "disk"],
    interval=60
)

# Configure caching
platform.cache.add_cache(
    name="user_data",
    levels=["l1", "l2"],
    max_size={"l1": 1000, "l2": 10000}
)

# Start the platform
platform.start()
```

## 📚 Documentation

Comprehensive documentation is available at [docs.ordicanis.io](https://docs.ordicanis.io)

## 🤝 Contributing

We welcome contributions! Please see our [Contributing Guide](CONTRIBUTING.md)

## 📄 License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## 🌟 Support

- 📧 Email: support@ordicanis.io
- 💬 Discord: [Join our community](https://discord.gg/ordicanis)
- 🐦 Twitter: [@ordicanis](https://twitter.com/ordicanis)

## 🙏 Acknowledgments

Special thanks to all our contributors and the open source community!
