Search Results for "java service wrapper"

Kotlin JDSL is a Kotlin library that makes it easy to build a query without a generated metamodel. There are many libraries that use an annotation processing tool (APT) to do the job. However, with the APT, you have to recompile whenever the name or type of field in an entity or a table class is changed. Kotlin JDSL provides a domain-specific language (DSL) based on KClass and KProperty to help you easily build queries without such inconveniences from the APT. Kotlin JDSL does not provide an...

...The DGS framework project started at Netflix in 2019 as internal teams began developing multiple GraphQL services. As 2020 wrapped up, Netflix decided to open source the framework and build a community around it. The DGS framework is built on top of graphql-java. Graphql-java is, and should be, lower level building blocks to handle query execution and such. The DGS framework makes all this available with a convenient Spring Boot programming model.

Amper is an open-source data collection and metric reporting agent developed by JetBrains as part of their internal analytics and telemetry infrastructure for IntelliJ-based products. Its purpose is to gather usage statistics, performance metrics, error reports, and other diagnostic signals from IDE installations in a privacy-conscious way to help product teams understand real-world usage patterns and improve quality. Designed to be lightweight and efficient, Amper runs as a background...

Snippetory is a platform for java developers dealing with any text generation. The abstraction layer helps to keep the issues of the 'view' in the view, while all logic is implemented in java. Editing, debugging and testing, all with the tools one is already used to. The separation of template keeps the template simple, the logic compact, and easy to navigate, and offers completely new re-usage scenarios. Sourceforge code hosting is abandoned. Primary site is now...

Its task is simple: It tells you which language some provided textual data is written in. This is very useful as a preprocessing step for linguistic data in natural language processing applications such as text classification and spell checking. Other use cases, for instance, might include routing e-mails to the right geographically located customer service department, based on the e-mails' languages.