Libraries

Components for sending, receiving, and managing email using popular Cloud Services such as Microsoft Office 365 (Outlook), Amazon SES, and Gmail through simple, easy-to-use, and intuitive APIs.

Components for managing keys & secrets with cloud-based Key Management & Secret Management services such as Amazon KMS, Amazon Secrets Manager, Azure Key Vault, Google KMS, and Google Secret Manager.

Components for managing keys & secrets with cloud-based Key Management & Secret Management services such as Amazon KMS, Amazon Secrets Manager, Azure Key Vault, Google KMS, and Google Secret Manager.

TaurusTLS provides OpenSSL 3.x support for Indy - Internet Direct.

TaurusTLS provides OpenSSL 3.x support for Indy - Internet Direct.

Trysil is an Object-Relational Mapper (ORM) for Delphi, open-source (on GitHub), that simplifies database management, allowing you to define entity classes and map them to DB tables (Firebird, PostgreSQL, SQLite, SQL Server), handling queries, inserts, and updates through a TTContext, also supporting lazy loading and events. To use it, you need to download it from GitHub (search for the davidlastrucci/Trysil repository) and integrate the code into your Delphi applications to map your classes to the data.

Firebase is an app development platform with tools to help you build, grow, and monetize your app.

A graphical wizard to generate everything needed to run code coverage analysis of your DUnit/DUnitX unit tests (means: check if those execute all of your code lines). It includes the tool to run the coverage analysis.

This installer installs PA Server for Debian-based Linux distributions (Ubuntu, Mint, Debian) and offers options to support FMX Linux and GTK-Broadway. Optionally, a desktop icon is created to launch PA Server.

Our custom bindings for Delphi allow integration of the DuckDB library, enabling developers to access its powerful features effortlessly. DuckDB is an embeddable analytical database system designed to provide the full capabilities of a SQL database while minimizing overhead. Focused on analytical workloads and optimized for vectorized query execution, it ensures fast and efficient query processing, making it ideal for applications requiring high performance and low latency.