LeakCanary vs EventBus | What are the differences? | StackShare

EventBus vs LeakCanary

Overview

LeakCanary

Stacks41

Followers17

Votes0

GitHub Stars29.8K

Forks4.0K

EventBus

Stacks81

Followers34

Votes0

GitHub Stars24.8K

Forks4.7K

LeakCanary vs EventBus: What are the differences?

Developers describe LeakCanary as "A memory leak detection library for Android". Retrieves knowledge of the internals of the Android Framework gives it a unique ability to narrow down the cause of each leak, helping developers dramatically reduce OutOfMemoryError crashes. On the other hand, EventBus is detailed as "An open-source library for Android and Java". It enables central communication to decoupled classes with just a few lines of code – simplifying the code, removing dependencies, and speeding up app development.

LeakCanary can be classified as a tool in the "Exception Monitoring" category, while EventBus is grouped under "Java Tools".

LeakCanary and EventBus are both open source tools. LeakCanary with 23.5K GitHub stars and 3.5K forks on GitHub appears to be more popular than EventBus with 21.5K GitHub stars and 4.36K GitHub forks.

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Detailed Comparison

LeakCanary	EventBus
Retrieves knowledge of the internals of the Android Framework gives it a unique ability to narrow down the cause of each leak, helping developers dramatically reduce OutOfMemoryError crashes.	It enables central communication to decoupled classes with just a few lines of code – simplifying the code, removing dependencies, and speeding up app development.
Apache License, Version 2.0	Simple yet powerful; Battle tested; High Performance; Convenient Annotation based API; Android main thread delivery
Statistics
GitHub Stars 29.8K	GitHub Stars 24.8K
GitHub Forks 4.0K	GitHub Forks 4.7K
Stacks 41	Stacks 81
Followers 17	Followers 34
Votes 0	Votes 0
Integrations
Kotlin Bugsnag Java	Git Docker Android Studio Java npm

What are some alternatives to LeakCanary, EventBus?

Sentry

Sentry’s Application Monitoring platform helps developers see performance issues, fix errors faster, and optimize their code health.

Rollbar

Rollbar is the leading continuous code improvement platform that proactively discovers, predicts, and remediates errors with real-time AI-assisted workflows. With Rollbar, developers continually improve their code and constantly innovate ra

Apache Maven

Maven allows a project to build using its project object model (POM) and a set of plugins that are shared by all projects using Maven, providing a uniform build system. Once you familiarize yourself with how one Maven project builds you automatically know how all Maven projects build saving you immense amounts of time when trying to navigate many projects.

Bugsnag

Bugsnag captures errors from your web, mobile and back-end applications, providing instant visibility into user impact. Diagnostic data and tools are included to help your team prioritize, debug and fix exceptions fast.

Gradle

Gradle is a build tool with a focus on build automation and support for multi-language development. If you are building, testing, publishing, and deploying software on any platform, Gradle offers a flexible model that can support the entire development lifecycle from compiling and packaging code to publishing web sites.

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

Opbeat

Opbeat is application monitoring for developers, and gives you performance metrics, error logging, release tracking and workflow in one smart product.

Bazel

Bazel is a build tool that builds code quickly and reliably. It is used to build the majority of Google's software, and thus it has been designed to handle build problems present in Google's development environment.

Airbrake

Airbrake collects errors for your applications in all major languages and frameworks. We alert you to new errors and give you critical context, trends and details needed to find and fix errors fast.

Quarkus

It tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near instant scale up and high density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile time boot.