Chronos 📊

A powerful and efficient CLI tool for time series data analysis, visualization, and statistical computation built with Rust.

Features

• High-Performance Data Processing: Built with Polars for lightning-fast data manipulation
• Comprehensive Analysis: Statistical analysis using robust mathematical functions
• Beautiful Visualizations: Generate charts and graphs with customizable styling
• CLI-First Approach: Intuitive command-line interface for automated workflows
• Multiple Data Formats: Support for CSV, JSON, and other common data formats
• Precision Calculations: Decimal-precise computations for financial and scientific data
• Machine Learning Models: Neural network forecasting with LSTM, GRU, and Transformer architectures
• GPU Acceleration: CUDA and Metal support for high-performance ML training

Installation

Prerequisites

• Rust 1.70 or higher
• Cargo (comes with Rust)

Building from Source

git clone <repository-url>
cd chronos
cargo build --release

The binary will be available at target/release/chronos.

Quick Start

Analyze Time Series Data

chronos analyze --file data.csv --time-column timestamp --value-column price

Generate Synthetic Data

chronos generate --points 1000 --output synthetic_data.csv

Create Visualizations

chronos visualize --file data.csv --output chart.png

Calculate Statistics

chronos stats --file data.csv

Use Cases

Financial Analysis

• Stock price trend analysis
• Portfolio performance tracking
• Risk assessment and volatility analysis
• Market correlation studies
• Neural network-based price forecasting

IoT and Sensor Data

• Environmental monitoring
• Equipment performance analysis
• Anomaly detection in sensor readings
• Predictive maintenance scheduling
• ML-powered sensor value prediction

Business Intelligence

• Sales performance tracking
• Customer behavior analysis
• Operational metrics monitoring
• Seasonal trend identification
• Deep learning demand forecasting

Scientific Research

• Experimental data analysis
• Climate and weather pattern analysis
• Laboratory measurement processing
• Research data visualization
• Transformer-based sequence modeling

Project Structure

chronos/
├── src/                    # Source code
│   └── main.rs            # Main CLI application
├── tests/                 # Unit and integration tests
├── examples/              # Usage examples
├── data/                  # Sample data files
├── Cargo.toml             # Dependencies and metadata
└── README.md              # This file

Dependencies

• clap: Command-line argument parsing
• polars: High-performance data processing
• chrono: Date and time handling
• statrs: Statistical functions and distributions
• plotters: Chart generation and visualization
• serde: Serialization framework
• csv: CSV file parsing and writing
• ndarray: N-dimensional arrays for numerical computing
• rust_decimal: Precise decimal arithmetic
• tabled: Table formatting for terminal output
• colored: Terminal color output
• anyhow: Error handling
• candle-core: Neural network tensor operations
• candle-nn: Deep learning layers and modules

Contributing

We welcome contributions! Please feel free to submit issues, feature requests, or pull requests.

License

This project is open source. Please see the LICENSE file for details.

Development Status

🚧 Early Development - This project is in active development. Core features are being implemented.

Roadmap

• Basic CLI structure ✅
• CSV data loading and parsing
• Statistical analysis functions
• Data visualization capabilities
• Synthetic data generation
• Advanced time series analysis
• Performance optimization
• Comprehensive testing suite
• Documentation and examples