Gradient

Aspose.Page for .NET makes your .NET Apps instantly support to work with XPS, EPS/PS documents without installing any 3rd party software. It helps developers create/edit XPS documents while working with canvas, paths, and glyph elements. Utilize a set of primitives, such as, elliptical arcs, straights lines, Bezier curve segments to create vector graphics. Add default print tickets and preserve them in the XPS file. Link print ticket objects among job/document/page. Work with Print Schema model classes for ticket manipulation. Aspose.Page for .NET also works with gradient, visual brush, transparency and document conversion. Aspose.Page for .NET also supports the PostScript language levels 1-3 with exception of some font types. It offers the ability to save EPS files to PDF, while also offers to convert the EPS, PS and XPS formats into raster image formats. Aspose.Page for .NET is written completely in C# and supports Windows Forms as well as the ASP.NET applications with both the 32-bit and 64-bit OS support (MS Windows Desktop & Server). Support for Windows Azure is also available.

This package provides the functionality to utilize the features of Syncfusion® Xamarin.WPF TextInputLayout, Gradient View, Effects View, Avatar view, Border, and Shimmer.

Cross-platform System.Drawing.Common replacement. Aspose.Drawing implements most of System.Drawing API (including image manipulation, vector and text drawing) in fully managed code without any external dependencies. Aspose.Drawing package uses System.Drawing namespace and can be used to directly replace System.Drawing.Common package reference in your project - all your existing code using System.Drawing API will continue to work, but now on any .NET supported platform. Aspose.Drawing.Common package uses Aspose.Drawing namespace and can be used side-by-side with System.Drawing.Common on Windows. Aspose.Drawing for .NET is a 2D graphics library for rendering vector graphics such as lines, curves, and figures as well as text onto raster images. It allows to run your existing C# and VB Apps on various supported platforms having identical rendering results. Aspose.Drawing for .NET can be used in .NET Framework, .NET Core or Xamarin applications in Windows, Linux, Android, Azure Functions or Blazor WebAssembly. It can be safely run from any restricted environment such as Windows or ASP.NET service. With Aspose.Drawing you can create bitmaps from scratch or load from existing files; draw lines, Bézier curves, splines, arcs, rectangles, polygons, eclipses, etc.; work with graphics paths; render text with different fonts and styles. It allows using different pen widths and styles; solid, texture, gradient and hatch brushes; clipping regions and matrix transformations. Images are stored in memory as managed arrays of pixels and can be saved in various image formats including BMP, PNG, JPEG, GIF, and TIFF.

Aspose.Slides for C++ is a robust API for enhancing your C++ applications with the Microsoft PowerPoint and OpenDocument presentation manipulation features for a large variety of file formats (PPT, POT, PPS, PPTX, POTX, PPSX, PPTM, PPSM, POTM, ODP, OTP, etc). Once you seamlessly integrate our API, your C++ Apps will not need any 3rd party component or software to be installed. Apart from presentation file creation, loading, conversion, merging, and printing you can also perform content formatting. Render slides, as well as the images on slides in various image formats (PNG, BMP, JPEG, etc). Add, format, modify, compare and clone slides as well as their layouts. Work with charts, shapes, SmartArt, tables, and text. Aspose.Slides for C++ also helps you with fine-tuning the 3D aspects of PowerPoint presentations (rotation, depth, extrusion, gradient, WordArt). Aspose.Slides for C++ supports both 32-bit and 64-bit Microsoft Windows as well as 64-bit Linux and macOS. Other versions: Aspose.Slides for C++ 32-bit library - https://www.nuget.org/packages/Aspose.Slides.Cpp.x86

Asp.net Web Crop Image Control allows developers to build image cropping functionality easily on their projects. You can seamlessly crop images and yet provide your visitors the most user friendly web interface by simply doing drag and drop in your projects.

Create Excel spreadsheets for Office 97/2003 or Office 2007+ on the fly with an easy to use .NET library. No 3rd party dependencies. No Microsoft Office Excel dependencies. The ExpertXLS Excel Library for .NET can be linked into any type of .NET project, either ASP.NET web sites or Windows Forms and WPF applications, to enable your application to create new Excel documents from scratch or to edit existing Excel documents. The ExpertXLS Excel Library for .Net offers support both for the old Excel 97-2003 format (.xls) and for the new Excel 2007 or above (.xlsx) format. The integration is extremely easy and no additional installation is necessary in order to get started. The library is delivered as a strong named assembly that can be directly referenced by your project. The downloaded archive contains C# and VB.NET samples for ASP.NET and Windows Forms and the complete API documentation. Features - Easy integration, no installation or setup is necessary - Deployed as single strong named .NET assembly - Can be used from any .NET application (ASP.NET, Windows Forms, WPF)) - Does not depend on Microsoft Office Excel - Can run in Medium Trust environments (like shared hosting) - Can run on 32-bit and 64-bit Windows servers - Create new Excel documents or edit existing Excel documents - Support for Excel 97-2003 (.xls) and Excel 2007 or above (.xlsx) formats - Load a workbook from a stream or from a file - Save a workbook to a stream or to a file - Load data from CSV files and save data to CSV format - Load data from a .NET DataTable or save data to a DataTable object - Add chart shapes or chart worksheets to a workbook - Add formulas and array formulas to a worksheet - Add global styles to a workbook - Advanced support for Excel 2007 and above gradients and textures - Add named ranges at worksheet or workbook level - Add images to a worksheet - Add hyperlinks and comments to a worksheet - Support for data validation

Package Description

Cross-platform System.Drawing.Common alternative. Aspose.Drawing implements most of System.Drawing API (including image manipulation, vector and text drawing) in fully managed code without any external dependencies. Aspose.Drawing package uses System.Drawing namespace and can be used to directly replace System.Drawing.Common package reference in your project - all your existing code using System.Drawing API will continue to work, but now on any .NET supported platform. Aspose.Drawing.Common package uses Aspose.Drawing namespace and can be used side-by-side with System.Drawing.Common on Windows. Aspose.Drawing for .NET is a 2D graphics library for rendering vector graphics such as lines, curves, and figures as well as text onto raster images. It allows to run your existing C# and VB Apps on various supported platforms having identical rendering results. Aspose.Drawing for .NET can be used in .NET Framework, .NET Core or Xamarin applications in Windows, Linux, Android, Azure Functions or Blazor WebAssembly. It can be safely run from any restricted environment such as Windows or ASP.NET service. With Aspose.Drawing you can create bitmaps from scratch or load from existing files; draw lines, Bézier curves, splines, arcs, rectangles, polygons, eclipses, etc.; work with graphics paths; render text with different fonts and styles. It allows using different pen widths and styles; solid, texture, gradient and hatch brushes; clipping regions and matrix transformations. Images are stored in memory as managed arrays of pixels and can be saved in various image formats including BMP, PNG, JPEG, GIF, and TIFF.

An empowered Xamarin.Forms' BoxView with 2-color gradients.

This is a panel, first of all. Therefore, it has all the advantages of a panel, plus some nice little features.

C# library for easy Deep Learning and Deep Reinforcement Learning. It is wrapper over C# CNTK API. Has implementation of layers (LSTM, Convolution etc.), optimizers, losses, shortcut-connections, sequential model, sequential multi-output model, agent teachers, policy gradients, actor-critic etc. Contains helpers for work with dataset (split, statistics, SMOTE etc). Allows train, evaluate and inference deep neural networks in style similar to Keras.

GradientPages for Xamarin Forms.

This package provides the functionality to utilize the features of Syncfusion® WPF Heat map control and more.

This package provides the functionality to utilize the features of Syncfusion® UWP Heat Map control and more.

A complete C# re-write of Berkeley's open source Convolutional Architecture for Fast Feature Encoding (CAFFE) for Windows C# Developers with full On-line Help, now with Temporal Fusion Transformers, GPT, Seq2Seq/Attention, Single-Shot MultiBox, TripletNet, SiameseNet, NoisyNet, Deep Q-Network and Policy Gradient Reinforcement Learning, cuDNN LSTM Recurrent Learning, and Neural Style Transfer support!

Please upgrade to version 12 (Search ThinkGeo.Core on NuGet) if possible. Version 12 works with both .NET Framework and .NET Core, has much less dependencies and many other benifits over 10.0. Gradient Style is included in the main package ThinkGeo.Core in Version 12. ThinkGeo.MapSuite.Styles.Gradient is a style extension to the Map Suite product line, see below for compatibility. This gradient style is a new style with the concept of GradientBrush. By specifying the LowerValue and its color, as well as the UpperValue and its color, we can set the color of each feature based on a column value using linear interpolation. ** This is an extension for use in ThinkGeo's Map Suite product line, see below, as it cannot be used stand alone. ** Wiki Documentation: http://wiki.thinkgeo.com/wiki/map_suite_api Supported Platforms: Windows, Linux, macOS - Compatible Products - Map Suite Desktop for WPF Map Suite Desktop for WinForms Map Suite Web for WebForms Map Suite Web for MVC Map Suite Web for WebAPI

A library which extends Android layouts to allow for the easy configuring of gradient backgrounds

This package provides the functionality to utilize the features of Syncfusion® Xamarin.WPF Chart control and more.

Android loading view library

Aspose.Imaging.Accord.Adapter is designed to extend the functionality of the Aspose.Imaging library by adding functions from FilFormat.Accord library.

Controls and Views for Xamarin.Forms Features: - Color Picker and Color Wheel Views - Gradient Frame - BubbleView(for notification counts) - SimpleRadialGuageView - TouchEffect for iOS, Android and UWP - Single multi-targeting package

Gradient Animations on Xamarni.iOS

Plugin for ImageResizer that allows for drawing of gradients on top of images.

Gradient.KeyValueStorages package contains interfaces for store your settings in simple structure. Also, with Android and iOS implementations.

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/

Syncfusion PresentationToPDFConverter is a .NET library that allows you to convert the PowerPoint presentation to PDF in any .NET Framework applications without any Microsoft Office dependencies. Key features: • Convert PowerPoint presentations with all the commonly used PowerPoint elements such as text, image, table, chart, gradient brushes, SmartArt diagrams, etc. • Convert the PowerPoint files with handouts and support optimizing the size of the converted PDF files. Learn more: https://www.syncfusion.com/products/file-formats/presentation?utm_source=nuget&utm_medium=listing Documentation: https://help.syncfusion.com/file-formats/presentation/presentation-to-pdf?utm_source=nuget&utm_medium=listing Support: Incident: https://www.syncfusion.com/support/directtrac/incidents/newincident?utm_source=nuget&utm_medium=listing Forum: https://www.syncfusion.com/forums?utm_source=nuget&utm_medium=listing This is a commercial product and requires a paid license for possession or use. Syncfusion’s licensed software, including this component, is subject to the terms and conditions of Syncfusion's EULA (https://www.syncfusion.com/eula/es/?utm_source=nuget&utm_medium=listing). To acquire a license, you can purchase one at https://www.syncfusion.com/sales/products?utm_source=nuget&utm_medium=listing or start a free 30-day trial here (https://www.syncfusion.com/account/manage-trials/start-trials?utm_source=nuget&utm_medium=listing). © Copyright 2018 Syncfusion, Inc. All Rights Reserved. The Syncfusion Essential Studio license and copyright applies to this distribution.

This package provides the functionality to utilize the features of Syncfusion® WinUI Charts control and more.

NNLib library implements MLP neural network, gradient descent and Levenberg–Marquardt algorithms.

Xamarin.Android Binding for Tushar's GradientTextView, a TextView with gradient color.

Winnovative Excel Library for .NET can be easily integrated in your applications targeting the .NET Framework to create new Excel documents or to edit existing Excel documents. This version of the library is compatible with .NET Framework on Windows platforms. For .NET Core and .NET Standard applications on Windows you can use the library from Winnovative.ExcelLib.NetCore NuGet package. Winnovative Excel Library for .NET is compatible with Windows platforms which support .NET Framework 4.0 and above, including: * .NET Framework 4.8.1, 4.7.2, 4.6.1, 4.0 (and above) * Windows 32-bit (x86) and 64-bit (x64) * Azure Cloud Services and Azure Virtual Machines * Web, Console and Desktop applications Main Features: * Does not depend on Microsoft Office Excel * Create new Excel documents or edit existing Excel documents * Support for Excel 97-2003 (.xls), Excel 2007 and 2010 (.xlsx) formats * Load a workbook from a stream or from a file * Save a workbook to a stream or to a file * Load data from CSV files and save data to CSV format * Load data from a .NET DataTable or save data to a DataTable object * Add chart shapes or chart worksheets to a workbook * Add formulas and array formulas to a worksheet * Add global styles to a workbook * Advanced support for Excel 2007 and 2010 gradients and textures * Add named ranges at worksheet or workbook level * Add images to a worksheet * Add hyperlinks and comments to a worksheet * Support for data validation * Support for workbook windows and structure protection * Support for worksheet data protection * ead and write password protection for .xls workbooks * Support for worksheet page setup - headers, footers, size, margins, orientation * Support for workbook properties - author, subject, comments

A simple heuristic optimizer based on simulated annealing with gradient ascent search.

Xamarin.Android Bindings for Akshay Sharma's Ariana, a multi color background library. Provide Multiple Gradients in ImageViews and Texts.

Gradient.Logging package is a fork of Common.Logging project which also contains implementations for iOS and Android platforms.

This software is part of Gradient: https://losttech.software/gradient.html

Aspose.Slides for C++ is a robust API for enhancing your C++ applications with the Microsoft PowerPoint and OpenDocument presentation manipulation features for a large variety of file formats (PPT, POT, PPS, PPTX, POTX, PPSX, PPTM, PPSM, POTM, ODP, OTP, etc). Once you seamlessly integrate our API, your C++ Apps will not need any 3rd party component or software to be installed. Apart from presentation file creation, loading, conversion, merging, and printing you can also perform content formatting. Render slides, as well as the images on slides in various image formats (PNG, BMP, JPEG, etc). Add, format, modify, compare and clone slides as well as their layouts. Work with charts, shapes, SmartArt, tables, and text. Aspose.Slides for C++ also helps you with fine-tuning the 3D aspects of PowerPoint presentations (rotation, depth, extrusion, gradient, WordArt). Aspose.Slides for C++ supports both 32-bit and 64-bit Microsoft Windows as well as 64-bit Linux and macOS. Other versions: Aspose.Slides for C++ 64-bit library - https://www.nuget.org/packages/Aspose.Slides.Cpp

Xamarin.Android Binding for Anton Popoff's ColorWheel, a library for Android which contains helpful views which can be used to pick an ARGB color.

Gradient.Logging.MvvmCross package is a Gradient.Logging integration for MvvmCross.

Statistical library built on top of Dew Math Library includes among other features: Different probability distributions (PDF, CDF and inverse CDF for 36 distributions), random number generators, parameter estimate. Descriptive statistics. Histograms, ogives, cumulative sum, nth moments, percentile, range, IQR, mean, median, mode, ranks and more. Multivariate Analysis. PCA by using covariance/correlation matrix, PCA residuals, orthogonal rotation of ZScores, Bartlett test for dimensionality and Z-Scores; Classical Multidimensional Scaling, Hotelling T2 test, M-Box test, Item Analysis. Design of Experiment. Full Factorial Design, Latin HyperCube design, ... Hypothesis testing. Sign test, Wilcoxon Signed Rank test, one-sample t-test, two-sample paired/unpaired t-test, Z-Test, Chi-Squared test, F-Test, Shapiro-Wilks test, Chi-Squared Goodness of Fit test and Shapiro-Francia test; Berra-Jarque, Anderson-Darling, Kolmogorov-Smirnov test, Mann-Whitney U test, LillioeFors Goodness of Fit test, ... Regression models. Linear (weighted, unweighted), Multiple linear (weighted, unweighted), Logistic regression, Ridge regression, Poisson regression, General non-linear regression (using the BFGS, Marquardt, Conjugate gradient or Simplex method), one-way and two-way ANOVA, Principal Component Regression. Statistical charts. Optional with separate assembly depending on Steema TeeChart.NET: Probabilities plot (Normal, Weibull, QQ), variable control charts ( X, R, S and EWMA), attribute control charts (P, NP, U and C), dot plot, box plot, biplot, error ellipses PLUS all major statistical chart types, supported by Steema's TeeChart (error, barr, error bar, pie, box, scatter, scatter 3D, histogram, Pareto and more). Time series analysis. Sample ACF, PACF, exponential smoothing (single, double, triple), support for ARMA/ARIMA models (simulating, forecasting, estimating coefficients by using Yule-Walker, Burg, Innovations and MLE algorithms), ARAR time series model, moving average, memory-shortening filter, Box-Ljung statistics, etc.. Ready-to-use components. TMtxANOVA (encapsulates ANOVA routines), TMtxMulLinReg (encapsulates multiple linear regression routines), TMtxNonLinReg (encapsulates nonlinear regression routines), TMtxPCA (encapsulates PCA routines), TMtxHypothesisTest (encapsulates hypothesis testing routines), TMtxBinaryTest (encapsulates binary diagonstic test routines), TMtxMDScaling (encapsulates multimensional scaling routines).

Xamarin.Android Bindings for Skydoves' Rainbow 🌈 . An easy way to apply gradations and tinting for Android

Simple yet powerful skeleton animation for all view in Android.

Xamarin.Android Binding for Majorkik's SparkLineLayout. Simple and lightweight library for drawing sparklines / graphs. Support markers and gradients.

A C# Library that replace the System.Console and let you make beautiful Consoles with gradients and many different utilities.

Statistical library built on top of Dew Math Library includes among other features: Different probability distributions (PDF, CDF and inverse CDF for 36 distributions), random number generators, parameter estimate. Descriptive statistics. Histograms, ogives, cumulative sum, nth moments, percentile, range, IQR, mean, median, mode, ranks and more. Multivariate Analysis. PCA by using covariance/correlation matrix, PCA residuals, orthogonal rotation of ZScores, Bartlett test for dimensionality and Z-Scores; Classical Multidimensional Scaling, Hotelling T2 test, M-Box test, Item Analysis. Design of Experiment. Full Factorial Design, Latin HyperCube design, ... Hypothesis testing. Sign test, Wilcoxon Signed Rank test, one-sample t-test, two-sample paired/unpaired t-test, Z-Test, Chi-Squared test, F-Test, Shapiro-Wilks test, Chi-Squared Goodness of Fit test and Shapiro-Francia test; Berra-Jarque, Anderson-Darling, Kolmogorov-Smirnov test, Mann-Whitney U test, LillioeFors Goodness of Fit test, ... Regression models. Linear (weighted, unweighted), Multiple linear (weighted, unweighted), Logistic regression, Ridge regression, Poisson regression, General non-linear regression (using the BFGS, Marquardt, Conjugate gradient or Simplex method), one-way and two-way ANOVA, Principal Component Regression. Statistical charts. Optional with separate assembly depending on Steema TeeChart.NET: Probabilities plot (Normal, Weibull, QQ), variable control charts ( X, R, S and EWMA), attribute control charts (P, NP, U and C), dot plot, box plot, biplot, error ellipses PLUS all major statistical chart types, supported by Steema's TeeChart (error, barr, error bar, pie, box, scatter, scatter 3D, histogram, Pareto and more). Time series analysis. Sample ACF, PACF, exponential smoothing (single, double, triple), support for ARMA/ARIMA models (simulating, forecasting, estimating coefficients by using Yule-Walker, Burg, Innovations and MLE algorithms), ARAR time series model, moving average, memory-shortening filter, Box-Ljung statistics, etc.. Ready-to-use components. TMtxANOVA (encapsulates ANOVA routines), TMtxMulLinReg (encapsulates multiple linear regression routines), TMtxNonLinReg (encapsulates nonlinear regression routines), TMtxPCA (encapsulates PCA routines), TMtxHypothesisTest (encapsulates hypothesis testing routines), TMtxBinaryTest (encapsulates binary diagonstic test routines), TMtxMDScaling (encapsulates multimensional scaling routines).

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of probabilistic methods with deep networks, gradient-based inference via automatic differentiation, and scalability to large datasets and models via hardware acceleration (e.g., GPUs) and distributed computation. TensorFlow Probability is built on top of TensorFlow. Basic building blocks are: - Distributions: A large collection of probability distributions and related statistics with batch and broadcasting semantics. - Bijectors: Reversible and composable transformations of random variables. Bijectors provide a rich class of transformed distributions, from classical examples like the log-normal distribution to sophisticated deep learning models such as masked autoregressive flows. For higher-level module building: - Joint Distributions (e.g., distributions.JointDistributionSequential): Joint distributions over one or more possibly-interdependent distributions. - Probabilistic Layers (layers namespace): Neural network layers with uncertainty over the functions they represent, extending TensorFlow layers Probabilistic Inference: - Markov chain Monte Carlo (mcmc namespace): Algorithms for approximating integrals via sampling. Includes Hamiltonian Monte Carlo, random-walk Metropolis-Hastings, and the ability to build custom transition kernels. - Variational Inference (vi namespace): Algorithms for approximating integrals via optimization. - Optimizers (optimizer namespace): Stochastic optimization methods, extending TensorFlow optimizers. Includes Stochastic Gradient Langevin Dynamics. - Monte Carlo (monte_carlo namespace): Tools for computing Monte Carlo expectations. TensorFlow Probability is under active development. Interfaces may change at any time.

Layout control for Xamarin.Forms.

Winnovative Excel Library for .NET Core can be easily integrated in your applications targeting .NET Core or .NET Standard to create new Excel documents or to edit existing Excel documents. This version of the library is compatible with .NET Core and .NET Standard on Windows platforms. For applications targeting .NET Framework on Windows you can use the library from Winnovative.ExcelLib NuGet package. Winnovative Excel Library for .NET Core is compatible with Windows platforms which support .NET Standard 2.0 or above, including the platforms listed below: * .NET Core 9, 8, 7, 6, 5, .NET Standard 2.0 , .NET Framework 4.6.2 (and above) * Windows 32-bit (x86) and 64-bit (x64) * Azure Cloud Services and Azure Virtual Machines * Web, Console and Desktop applications Main Features: * Does not depend on Microsoft Office Excel * Create new Excel documents or edit existing Excel documents * Support for Excel 97-2003 (.xls), Excel 2007 and 2010 (.xlsx) formats * Load a workbook from a stream or from a file * Save a workbook to a stream or to a file * Load data from CSV files and save data to CSV format * Load data from a .NET DataTable or save data to a DataTable object * Add chart shapes or chart worksheets to a workbook * Add formulas and array formulas to a worksheet * Add global styles to a workbook * Advanced support for Excel 2007 and 2010 gradients and textures * Add named ranges at worksheet or workbook level * Add images to a worksheet * Add hyperlinks and comments to a worksheet * Support for data validation * Support for workbook windows and structure protection * Support for worksheet data protection * ead and write password protection for .xls workbooks * Support for worksheet page setup - headers, footers, size, margins, orientation * Support for workbook properties - author, subject, comments

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Color utilities, color generators, gradient generators. Whatever you want related to colors.

Library for optimized Deep Learning models. The library is based on python's theano library and offers great tools to create deep learning models. Automatic gradient differentiation is available.

Statistical library built on top of Dew Math Library includes among other features: Different probability distributions (PDF, CDF and inverse CDF for 36 distributions), random number generators, parameter estimate. Descriptive statistics. Histograms, ogives, cumulative sum, nth moments, percentile, range, IQR, mean, median, mode, ranks and more. Multivariate Analysis. PCA by using covariance/correlation matrix, PCA residuals, orthogonal rotation of ZScores, Bartlett test for dimensionality and Z-Scores; Classical Multidimensional Scaling, Hotelling T2 test, M-Box test, Item Analysis. Design of Experiment. Full Factorial Design, Latin HyperCube design, ... Hypothesis testing. Sign test, Wilcoxon Signed Rank test, one-sample t-test, two-sample paired/unpaired t-test, Z-Test, Chi-Squared test, F-Test, Shapiro-Wilks test, Chi-Squared Goodness of Fit test and Shapiro-Francia test; Berra-Jarque, Anderson-Darling, Kolmogorov-Smirnov test, Mann-Whitney U test, LillioeFors Goodness of Fit test, ... Regression models. Linear (weighted, unweighted), Multiple linear (weighted, unweighted), Logistic regression, Ridge regression, Poisson regression, General non-linear regression (using the BFGS, Marquardt, Conjugate gradient or Simplex method), one-way and two-way ANOVA, Principal Component Regression. Statistical charts. Optional with separate assembly depending on Steema TeeChart.NET: Probabilities plot (Normal, Weibull, QQ), variable control charts ( X, R, S and EWMA), attribute control charts (P, NP, U and C), dot plot, box plot, biplot, error ellipses PLUS all major statistical chart types, supported by Steema's TeeChart (error, barr, error bar, pie, box, scatter, scatter 3D, histogram, Pareto and more). Time series analysis. Sample ACF, PACF, exponential smoothing (single, double, triple), support for ARMA/ARIMA models (simulating, forecasting, estimating coefficients by using Yule-Walker, Burg, Innovations and MLE algorithms), ARAR time series model, moving average, memory-shortening filter, Box-Ljung statistics, etc.. Ready-to-use components. TMtxANOVA (encapsulates ANOVA routines), TMtxMulLinReg (encapsulates multiple linear regression routines), TMtxNonLinReg (encapsulates nonlinear regression routines), TMtxPCA (encapsulates PCA routines), TMtxHypothesisTest (encapsulates hypothesis testing routines), TMtxBinaryTest (encapsulates binary diagonstic test routines), TMtxMDScaling (encapsulates multimensional scaling routines).