Transform Complex Data into Actionable Insights

TimeSeriesAnalyzer is the next-generation cross-platform analytical powerhouse for time series analysis. Whether you're working with financial markets, econometric models, laboratory chromatography, or spectroscopic data, our unified platform combines cutting-edge machine learning, advanced statistics, and publication-quality visualization in one seamless experience.

Built on .NET with enterprise-grade performance, it delivers professional analytics from your desktop (Mac, Windows, Linux) to the cloud.

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TimeSeriesAnalyzer application screenshot

Core Capabilities

Industrial-strength tools for professional time series analysis

Data Analysis

Industrial-Strength Statistical Computing

Descriptive & Exploratory: Comprehensive statistics, correlation analysis, distribution tests
Time Series Decomposition: STL, X13-ARIMA-SEATS, Wavelet, EMD, VMD
Forecasting: ARIMA/SARIMA, Exponential smoothing, ML forecasters, AutoML
Anomaly Detection: Statistical & ML methods, change point detection, Matrix Profile
Spectral Analysis: FFT, PSD estimation, Wavelet transforms

Graphics & Visualization

Publication-Quality Charts

Time Series Plots: Line, scatter, candlestick, OHLC, area, waterfall charts
Statistical Plots: Histograms, box plots, Q-Q plots, ACF/PACF, residual diagnostics
Advanced Visualizations: Spectrograms, heat maps, contour plots, decomposition views
Interactive Features: Real-time zoom/pan, tooltips, multi-panel dashboards
Export: SVG, PDF, PNG, HTML with LaTeX integration

Programming & Scripting

Kusto Query Language (KQL) Integration

KQL Support: Azure Data Explorer syntax for complex queries
Multi-Language: C#, Python (IronPython), R interop, F# support
API & Extensibility: RESTful API, MEF-based plugins, custom transformations
Automation: Custom pipelines, scheduled analysis, batch processing
Coming Soon: Julia integration, Spark connector, Jupyter notebooks

Domain-Specific Solutions

Specialized tools tailored for your industry

Finance & Quantitative Analysis

Technical indicators, risk metrics, GARCH models, options pricing, portfolio optimization, yield curve analysis

Econometrics

Regression analysis, stationarity tests, cointegration, VAR models, Granger causality, unit root tests

Chromatography

Peak detection & integration, retention time analysis, calibration curves, quality control, GC/LC-MS integration

Spectroscopy

UV-Vis, IR, NMR, Raman analysis, spectral preprocessing, chemometrics, peak fitting, library matching

Built on Industry-Leading Technology

Core Libraries

Math.NET Numerics - Linear algebra, FFT, statistics
Accord.NET - Machine learning, neural networks
ML.NET & AutoML - Enterprise ML pipelines
ScottPlot - High-performance visualization
QLNet - Quantitative finance

Cross-Platform Excellence

Native performance on Windows, macOS, and Linux
Built on .NET for cutting-edge runtime performance
Docker containerization for cloud deployments
ARM architecture support for Apple Silicon
Enterprise-grade scalability and security