About
InterBase (and FireBird) Data Access Components (IBDAC) is a library of components that provides native connectivity to InterBase and Firebird from Delphi and C++Builder including Community Edition, as well as Lazarus (and Free Pascal) on Windows, Linux, macOS, iOS, and Android for both 32-bit and 64-bit platforms. IBDAC-based applications connect to the server directly using the InterBase client. IBDAC is designed to help programmers develop faster and cleaner InterBase database applications.
IBDAC is a complete replacement for standard InterBase connectivity solutions. It presents an efficient alternative to InterBase Express Components, the Borland Database Engine (BDE), and the standard dbExpress driver for access to InterBase.
|
About
Enjoy the highest performance and unlimited possibilities when working with MySQL. MySQL Data Access Components (MyDAC) is a library of components that provides direct access to MySQL and MariaDB from Delphi and C++Builder, including Community Edition, as well as Lazarus (and Free Pascal) on Windows, Linux, macOS, iOS, and Android for both 32-bit and 64-bit platforms. Applications based on MyDAC can connect directly to MySQL server or work through the MySQL client library. MySQL Data Access Components are designed to help programmers develop MySQL database applications faster and easier. MyDAC is a complete replacement for standard MySQL connectors and presents an efficient alternative to the Borland Database Engine (BDE) and standard dbExpress driver for access to MySQL.
|
About
TRichView is a suite of native Delphi/C++Builder VCL/FireMonkey and Lazarus (Free Pascal) LCL components for displaying, editing, and printing complex rich text documents. TRichView can be used to develop advanced text editors, web/help/book authoring applications, chats and messengers, organizers and diaries, multimedia encyclopedias, and other applications that need a high-quality rich text editor or a hypertext user interface. Supported FireMonkey platforms, Windows, 64-bit macOS. The components support various character attributes (fonts, subscripts/superscripts, colored text background, custom drawn). Documents can contain tables, pictures, images from image lists, footnotes and endnotes, and any Delphi controls. Left, right, center, or justify paragraph alignment, custom margins and indents, multilevel bullets and numbering, background images, print preview, data-aware versions, and more.
|
About
Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.
|
|||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||
Audience
Enterprise organizations
|
Audience
IT teams searching for an unified connectivity solution
|
Audience
Anyone seeking a solution for displaying, editing and printing complex rich text documents
|
Audience
Engineers and data scientists requiring a solution to manage and improve their machine learning research
|
|||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||
API
Offers API
|
API
Offers API
|
API
Offers API
|
API
Offers API
|
|||
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
|||
Pricing
$169.95
Free Version
Free Trial
|
Pricing
$199.95 one-time payment
Free Version
Free Trial
|
Pricing
€310 one-time payment
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
|||
Reviews/
|
Reviews/
|
Reviews/
|
Reviews/
|
|||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||
Company InformationDevart
Founded: 1997
Czech Republic
www.devart.com
|
Company InformationDevart
Founded: 1997
Czechia
www.devart.com/mydac/
|
Company InformationTRichView
Russia
www.trichview.com/features/trichview.html
|
Company Informationscikit-learn
United States
scikit-learn.org/stable/
|
|||
Alternatives |
Alternatives |
Alternatives |
Alternatives |
|||
|
|
|
|
||||
|
|
||||||
|
|
|
|
||||
Categories |
Categories |
Categories |
Categories |
|||
Integrations
C++Builder
DagsHub
Databricks Data Intelligence Platform
Delphi
Flower
Guild AI
Intel Tiber AI Studio
Keepsake
MLJAR Studio
Matplotlib
|
Integrations
C++Builder
DagsHub
Databricks Data Intelligence Platform
Delphi
Flower
Guild AI
Intel Tiber AI Studio
Keepsake
MLJAR Studio
Matplotlib
|
Integrations
C++Builder
DagsHub
Databricks Data Intelligence Platform
Delphi
Flower
Guild AI
Intel Tiber AI Studio
Keepsake
MLJAR Studio
Matplotlib
|
Integrations
C++Builder
DagsHub
Databricks Data Intelligence Platform
Delphi
Flower
Guild AI
Intel Tiber AI Studio
Keepsake
MLJAR Studio
Matplotlib
|
|||
|
|
|
|
|