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What is TRichView?

TRichView is an extensive suite of native components tailored for Delphi/C++Builder VCL/FireMonkey and Lazarus (Free Pascal) LCL, specifically aimed at the creation, editing, and printing of complex rich text documents. This versatile tool can be utilized to develop advanced text editors, content creation tools for web, help, and books, as well as chat and messaging applications, planners, multimedia encyclopedias, and other software that demands a high-quality rich text editor or hypertext interface. It is compatible with various platforms through FireMonkey, including both Windows and 64-bit macOS environments. The component suite provides a broad array of character formatting options, featuring fonts, subscripts and superscripts, and colored text backgrounds, along with the ability to integrate tables, images, footnotes, endnotes, and any Delphi controls within the documents. Users can also manipulate paragraph alignments, establish custom margins and indents, create multilevel lists, and incorporate background images, while functionalities such as print preview and data-aware versions significantly enhance usability. Furthermore, TRichView's adaptability makes it an indispensable asset for developers focused on crafting high-quality applications involving rich text processing, as it delivers comprehensive features that cater to diverse project needs. Ultimately, its robust capabilities empower developers to build more interactive and visually appealing software solutions.

What is FastCube FMX?

FastCube offers a seamless way to analyze data, generate summary tables (also known as data slices), and produce a diverse range of reports and visualizations. This makes it an invaluable resource for analyzing data arrays efficiently. FastCube FMX comprises a suite of OLAP Desktop components compatible with Embarcadero RAD Studio 10.3 Rio, C++Builder XE4–XE7, and Delphi XE4–XE7. It is designed to be integrated into applications for both MS Windows and Apple Mac OS X. Integration of these components into the user interfaces of host applications is straightforward. Users of FastCube FMX do not have to possess advanced programming skills to produce detailed reports. This collection of OLAP Desktop components is specifically designed for Delphi, C++Builder, and Lazarus environments. Connecting to databases is facilitated through standard ADO and BDE components, as well as any components that utilize TDataSet. With the ability to download and manage data arrays instantly, users can also benefit from pre-designed templates for creating summary tables. This enhances productivity and makes data analysis even more accessible.

Media

Media

Integrations Supported

C++Builder
Delphi
RAD Studio
FastCube VCL
FastReport FMX
FastReport VCL
Pascal

Integrations Supported

C++Builder
Delphi
RAD Studio
FastCube VCL
FastReport FMX
FastReport VCL
Pascal

API Availability

Has API

API Availability

Has API

Pricing Information

€310 one-time payment
Free Trial Offered?
Free Version

Pricing Information

$249.00/developer
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

TRichView

Company Location

Russia

Company Website

www.trichview.com/features/trichview.html

Company Facts

Organization Name

Fast Reports

Date Founded

1998

Company Location

United States

Company Website

www.fast-report.com/en/product/fast-cube-fmx/

Categories and Features

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

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