Search Results for "java runtime environment"

...Micronaut Data instead moves this model into the compiler. Both GORM and Spring Data use regular expressions and pattern matching in combination with runtime generated proxies to translate a method definition on a Java interface into a query at runtime. No such runtime translation exists in Micronaut Data and this work is carried out by the Micronaut compiler at compilation time.

Hoplite is a Kotlin library for loading configuration files into typesafe classes in a boilerplate-free way. Define your config using Kotlin data classes, and at startup Hoplite will read from one or more config files, mapping the values in those files into your config classes. Any missing values, or values that cannot be converted into the required type will cause the config to fail with detailed error messages.

graphql-java is one of the most popular JVM-based GraphQL implementations. GraphQL Kotlin is built on top of grahpql-java as it can be easily extended with additional functionality and this implementation has been used and tested by many users. The most common way to create the schema in graphql-java is to first manually write the SDL file. Then write the runtime code that matches this schema to build the GraphQLSchema object.

An annotation processor that generates Moshi adapters from Kotlin classes. There is a reflective adapter for Kotlin but that requires the Kotlin reflection library which adds a lot of methods and increases the binary size which in a constrained environment such as Android is something is not preferable. This is where Kotshi comes in, it generates fast and optimized adapters for your Kotlin data classes, just as if you'd written them by hand yourself. It will automatically regenerate the...

...The repository gathers playful utilities (originally shell and Ruby scripts) that automate short, real-world tasks — for example, sending a quick “late at work” text when SSH sessions are active, firing off an automated “I’m sick / working from home” email on certain mornings, or even talking to a networked coffee machine to start brewing at precisely the right moment. The README explains the origin story and highlights several canonical scripts and provides usage notes such as required environment variables and cron examples for scheduling. Contributors have provided implementations and ports in many languages and folders (shell, Ruby, Python, Node, Perl, PowerShell, Go, Java, etc.), and the project explicitly welcomes pull requests that add additional language implementations.