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Encapsulated class to offer a common patter to create trust and mutually authenticated HTTPS connections

This is a Self-encapsulated open toolkit for speeding up development and providing tools such as security, response, logging and identity tokens.

SpringBoot integrates multiple Kafka data sources with zero coding, supports any Kafka cluster, and has been encapsulated into a small module that integrates all Kafka configurations, allowing attention to return to the business itself.

Leveraging AI large models, the multi-threaded library encapsulated based on ForkJoinPool is particularly suitable for single long-task scenarios, such as traversing DB and other retrieval tasks. It also supports batch processing of small tasks, such as batch processing of Kafka messages, and is ready to use out of the box.

Encapsulated common Android controls, such as sletextbutton, sleimagebutton, sleconstraintlayout, sleframelayout, slelinearlayout, slerelativelayout, etc. Make the control have the functions of shape and selector, and save the cumbersome steps of writing shape or selector files. In addition, it supports n color gradients, which makes up for the deficiency that the native shape file only supports three colors (startcolor / centercolor / endcolor).

jiron is a library for working with encapsulated tokens. Encapsulated tokens can be used to encrypt and sign arbitrary messages, pass them around in untrusted environments (e.g. the Web), receive them back and still be sure that noone has seen or modified the original token. This is useful for authentication tokens, e.g. in the context of authorization delegation or cookie-based Web authentication.

Sometimes we sacrifice encapsulation just to let us access a method or field of an object from its unit tests. This framework uses reflection and dynamic proxies to access private portion of your objects, allowing you to keep them strongly encapsulated and still be able to test their internals using the provided accessors.

BRAP is a Java and Android remoting protocol that uses native Java object serialization, encapsulated in HTTP. It aims to be an alternative to Spring HttpInvoker and Spring Security especially when you don't need or want the dependencies of Spring in your client, for example when building a rich client app or an Android app where size is important. The authentication mechanism lets you use your own domain objects as credentials. Server configuration can be expressed solely in web.xml or by subclassing the ProxyServlet but there is also an optional SpringProxyServlet available for seamless Spring Integration. BRAP focuses on being easy to use, small in size (9 kb), yet powerful and extensible. The client uses a pluggable TransportProvider with default implementations for HttpURLConnection and Apache HttpClient.

Advanced Library to Remove Object Relational Impedance. DBvolution translates all database concepts into Object Oriented concepts, allowing you to spend all your time writing Java rather than fixing broken and awkward SQL. DBvolution transforms your schema into classes, reduces the database configuration to sparse annotations on the classes, and allows querying directly from the classes. Queries are created inside your java code and takes as little as one line for a multi-table outer join. Retrieving the rows from the query is only one more method call. Dozens of SQL functions are available without leaving your Java code and use chaining to build complex expressions easily. Transactions are encapsulated into a thread-like API, allowing you to write complex database interactions in complete safety. The queries performed by DBvolution are always available for debugging and checking by DBAs before release. There are examples in nz.co.gregs.dbvolution.examples, and documentation at http://dbvolution.gregs.co.nz.

Advanced Library to Remove Object Relational Impedance. DBvolution translates all database concepts into Object Oriented concepts, allowing you to spend all your time writing Java rather than fixing broken and awkward SQL. DBvolution transforms your schema into classes, reduces the database configuration to sparse annotations on the classes, and allows querying directly from the classes. Queries are created inside your java code and takes as little as one line for a multi-table outer join. Retrieving the rows from the query is only one more method call. Dozens of SQL functions are available without leaving your Java code and use chaining to build complex expressions easily. Transactions are encapsulated into a thread-like API, allowing you to write complex database interactions in complete safety. The queries performed by DBvolution are always available for debugging and checking by DBAs before release. There are examples in nz.co.gregs.dbvolution.examples, and documentation at http://dbvolution.gregs.co.nz.