scalameter | performance regression testing framework for the JVM | Performance Testing library

by scalameter Scala Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | scalameter Summary

scalameter is a Scala library typically used in Testing, Performance Testing applications. scalameter has no bugs, it has no vulnerabilities and it has low support. However scalameter has a Non-SPDX License. You can download it from GitHub.

Microbenchmarking and performance regression testing framework for the JVM platform.

Support

Quality

Security

License

Reuse

Support

scalameter has a low active ecosystem.

It has 488 star(s) with 70 fork(s). There are 31 watchers for this library.

It had no major release in the last 6 months.

There are 43 open issues and 65 have been closed. On average issues are closed in 132 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of scalameter is current.

Quality

scalameter has 0 bugs and 0 code smells.

Security

scalameter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

scalameter code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

scalameter has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

scalameter releases are not available. You will need to build from source code and install.

It has 8080 lines of code, 824 functions and 150 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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scalameter Key Features

No Key Features are available at this moment for scalameter.

scalameter Examples and Code Snippets

No Code Snippets are available at this moment for scalameter.

Community Discussions

Trending Discussions on scalameter

How can ScalaMeter chain configuration

Why is Scala Future running sequentially when mapped over an Iterator

Why is parallel pi estimation slower than sequential pi estimation?

QUESTION

How can ScalaMeter chain configuration

Asked 2021-Jan-04 at 14:13

I'm quite confusing on how can ScalaMeter chain configuration like this

...

ANSWER

Answered 2021-Jan-04 at 14:13

Please first note that config method is exposed after imporing:

Source https://stackoverflow.com/questions/65557054

QUESTION

Why is Scala Future running sequentially when mapped over an Iterator

Asked 2020-Jan-12 at 21:30

So I am puzzled why mapping over an iterator with Futures will make it run sequentially. Consider the following code -

...

ANSWER

Answered 2020-Jan-12 at 21:30

Due to non-strict nature of iterators the following

Source https://stackoverflow.com/questions/59707076

QUESTION

Why is parallel pi estimation slower than sequential pi estimation?

Asked 2020-Jan-08 at 15:22

So I tried coming up with different implementations of pi estimation, based on montecarlo method. There are 3 implementations -

Sequential - Faster performance results
Scala parallel collections - Slowest results
Scala futures - Faster than parallel collections, but slower than sequential

I did these benchmarks using a new m4xlarge instance on AWS, using Scalameter, running them through within sbt shell.

This is the sequential runner -

...

ANSWER

Answered 2020-Jan-08 at 15:22

java.math.random() is synchronized (as stated on the docs), which means your map is mostly sequential.

You may want to use java.util.concurrent.ThreadLocalRandom.current() instead.

Source https://stackoverflow.com/questions/59647748

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install scalameter

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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