scribe alternatives and similar packages
Based on the "Extensions" category.
Alternatively, view scribe alternatives based on common mentions on social networks and blogs.
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Enumeratum
A type-safe, reflection-free, powerful enumeration implementation for Scala with exhaustive pattern match warnings and helpful integrations. -
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Scala Graph
Graph for Scala is intended to provide basic graph functionality seamlessly fitting into the Scala Collection Library. Like the well known members of scala.collection, Graph for Scala is an in-memory graph library aiming at editing and traversing graphs, finding cycles etc. in a user-friendly way. -
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Rapture
DISCONTINUED. a collection of libraries for common, everyday programming tasks (I/O, JSON, i18n, etc.) -
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Lamma
Lamma schedule generator for Scala is a professional schedule generation library for periodic schedules like fixed income coupon payment, equity deravitive fixing date generation etc. -
wvlet-log
DISCONTINUED. A library for enhancing your application logs with colors and source code locations. -
Resolvable
DISCONTINUED. A library to optimize fetching immutable data structures from several endpoints in several formats. -
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InfluxDB - Purpose built for real-time analytics at any scale.
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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README
scribe
Scribe is a completely different way of thinking about logging. Instead of wrapping around existing logging frameworks and bearing their performance and design flaws, Scribe is built from the ground up to provide fast and effective logging in Scala, Scala.js, and Scala Native without the need of configuration files or additional dependencies. All management of logging can be handled programmatically (of course, classic logging configuration can be utilized as well if desired) in Scala itself, giving the developer the freedom to use whatever configuration framework, if any, they should choose to use.
Availability
Scribe is available on the JVM, Scala.js, and ScalaNative with cross-compiling for Scala 2.12, 2.13, and 3
Quick Start
For people that want to skip the explanations and see it action, this is the place to start!
Dependency Configuration
libraryDependencies += "com.outr" %% "scribe" % "3.8.0"
For Cross-Platform projects (JVM, JS, and/or Native):
libraryDependencies += "com.outr" %%% "scribe" % "3.8.0"
Or, if you want interoperability with SLF4J (to allow better interoperability with existing libraries using other loggers):
libraryDependencies += "com.outr" %% "scribe-slf4j" % "3.8.0"
Usage
scribe.info("Yes, it's that simple!")
Why Another Logging Framework?
Yes, we know there are too many Java logging frameworks to count, and a large number of decent logging frameworks in Scala, so why did we write yet another logging framework? Nearly every Scala logging framework is mostly just a wrapper around Java logging frameworks (usually SLF4J, Log4J, or Logback). This comes with a few problems:
- No support for Scala.js
- No support for Scala Native
- Performance cost (Blog Post: http://www.matthicks.com/2018/02/scribe-2-fastest-jvm-logger-in-world.html)
- Additional dependencies
- Substantial cost logging method and line numbers
- Lack of programmatic configuration support
A few of the main features that Scribe offers (for a complete list):
- Performance is a critical consideration. We leverage Macros to handle optimization of everything possible at compile-time to avoid logging slowing down your production application. As far as we are aware, Scribe is the fastest logging framework on the JVM.
- Programmatic configuration. No need to be bound to configuration files to configure your logging. This means you can rely on any configuration framework or you can configure real-time changes to your logging in your production environment. This particularly comes in handy if you need to enable debug logging on something going wrong in production. No need to restart your server, simply provide a mechanism to modify the logging configuration in real-time.
- Clean logging. Macros allow us to introduce logging into a class via an import instead of a mix-in or unnecessary setup code.
- Zero cost class, method, and line number logging built-in. Never worry about your logger working up the stack to figure out the position of the logging statement at runtime. With Macros we determine that information at compile-time to avoid any runtime cost.
- Asynchronous logging support. Scribe's logger is very fast, but if real-time performance is critical, the asynchronous logging support completely removes logging impact from your application's thread impact.
Documentation
Check out the wiki for complete documentation
Community
The best way to receive immediate feedback for any questions is via our Gitter channel
Acknowledgements
YourKit supports open source projects with its full-featured Java Profiler. YourKit, LLC is the creator of YourKit Java Profiler and YourKit .NET Profiler, innovative and intelligent tools for profiling Java and .NET applications.