heimdalljs

WebJar for heimdalljs

License	MIT
GroupId	org.webjars.npm
ArtifactId	heimdalljs
Last Version	0.3.0-alpha3
Release Date	Feb 13, 2018
Type	jar
Description	heimdalljs WebJar for heimdalljs
Project URL	http://webjars.org
Source Code Management	https://github.com/heimdalljs/heimdalljs-lib

Download heimdalljs

Filename	Size
heimdalljs-0.3.0-alpha3.pom
heimdalljs-0.3.0-alpha3.jar	192 KB
heimdalljs-0.3.0-alpha3-sources.jar	22 bytes
heimdalljs-0.3.0-alpha3-javadoc.jar	22 bytes

How to add to project

Apache Maven

<!-- https://jarcasting.com/artifacts/org.webjars.npm/heimdalljs/ -->
<dependency>
    <groupId>org.webjars.npm</groupId>
    <artifactId>heimdalljs</artifactId>
    <version>0.3.0-alpha3</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/org.webjars.npm/heimdalljs/
implementation 'org.webjars.npm:heimdalljs:0.3.0-alpha3'

Gradle Kotlin

// https://jarcasting.com/artifacts/org.webjars.npm/heimdalljs/
implementation ("org.webjars.npm:heimdalljs:0.3.0-alpha3")

Apache Buildr

'org.webjars.npm:heimdalljs:jar:0.3.0-alpha3'

Apache Ivy

<dependency org="org.webjars.npm" name="heimdalljs" rev="0.3.0-alpha3">
  <artifact name="heimdalljs" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='org.webjars.npm', module='heimdalljs', version='0.3.0-alpha3')
)

Scala SBT

libraryDependencies += "org.webjars.npm" % "heimdalljs" % "0.3.0-alpha3"

Leiningen

[org.webjars.npm/heimdalljs "0.3.0-alpha3"]

Dependencies

compile (1)

Group / Artifact	Type	Version
org.webjars.npm : rsvp	jar	[3.2.1,4)

Project Modules

There are no modules declared in this project.

Heimdall

A blazingly fast performance stat monitoring and collection library for node or the browser.

How fast?

Heimdall allows for 2 forms of stat collection: counter based and time based.

The overhead of time based stat collection is the cost of allocating a tiny TypedArray, a four element Array, and performance.now(). On Desktop Chrome on a 2015 era MacBook Pro this amounts to roughly 200 nanoseconds. You can easily run the benchmarks on devices you care about to see what the cost will be for you.

The overhead of counter based collection is the cost of a method call with two bitwise operations and an integer increment. An occasional Uint32Array allocation is thrown in when more space is needed. The cost here is pragmatically negligible, and counters are ideal for situations in which the overhead of a timer is enough to significantly alter stats.

Getting started

Check out heimdalljs for more info on getting started and installed.

How is the repo structured?

The Heimdall repo is managed as a monorepo that is composed of many npm packages.

Versions

Version
0.3.0-alpha3 Feb 13, 2018
0.2.5 Sep 16, 2017
0.2.4 Sep 16, 2017