If you need a Scala-version of slf4 (logging), Jackson (JSON-based serialization), Guice (dependency injection), etc., Airframe will be a right choice for you. Airframe has redesigned these Java-based ecosystem in order to maximize the power of Scala, and supports Scala 2.11, 2.12, 2.13, and Scala.js as well.

Airframe uses MessagePack-based schema-on-read codec for fast and compact object serialization. It can be used for efficient HTTP server-client communication and for automatically resolving differences between data types (e.g., integers and strings.) Serialization with JSON is also supported.

With dependency injection (DI) of Airframe, building services with hundreds of module classes becomes easy and manageable. Airframe DI will build complex objects on your behalf based on the design and properly start and shutdown your services in the FILO order.

Logging is an essential tool for debugging applications. airframe-log helps displaying logs in fancy ANSI colors enriched with the source code locations.

airframe-config supports YAML-based application configurations and provides immutable config objects that can be injected through DI. Partially overriding configurations is also supported.

Need a way to parse command line options? airframe-launcher will turn your Scala functions into command-line programs which can read complex command-line arguments.

AirSpec is a simple unit testing framework for Scala and Scala.js. You can use public methods in your classes as test cases. No need to remember complex DSLs for writing tests in Scala.

Retrying HTTP requests for API calls is an essential technique for connecting microservices. airframe-control will provide essential tools for making your requests reliable with exponential backoff retry, jitter, circuit-breaker, rate control, etc.

airframe-http allows building web services by using Scala as an IDL (Interface Definition Language). Airframe provides a ready-to use web server implementation based on Twitter Finagle and built-in JSON/MessagePack-based REST API call mapping to crate microservice API servers and clients at ease

Web application development often requires mock web servers. With airframe-http-recorder, you can record and replay the real server responses for running unit tests even if the servers are offline or unreachable from CI environments.

airframe-fluentd supports logging your metrics to fluentd in a type-safe manner. You just need to send your case classes as metrics for fluentd.

airframe-metrics provides human-friendly time range selectors (e.g., -1d, -1w) and data units for measuring elapsed time (e.g., 0.1s, 1.5h) and data sizes (e.g., GB, PB.)