HaxMap v0.2.0 released, huge performance improvements and added support for 32-bit systems

This page summarizes the projects mentioned and recommended in the original post on /r/golang

Our great sponsors
  • InfluxDB - Collect and Analyze Billions of Data Points in Real Time
  • Mergify - Updating dependencies is time-consuming.
  • SonarLint - Clean code begins in your IDE with SonarLint
  • haxmap

    Fastest and most memory efficient golang concurrent hashmap

    New version [v0.2.1](https://github.com/alphadose/haxmap/releases/tag/v0.2.1) released with more performance improvements

  • itogami

    Fastest and most efficient goroutine pool (experimental)

    Use of golang runtime internals like itogami and ZenQ to squeeze out a little extra performance

  • InfluxDB

    Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.

  • ZenQ

    A thread-safe queue faster and more resource efficient than golang's native channels

    Use of golang runtime internals like itogami and ZenQ to squeeze out a little extra performance

  • avo

    Generate x86 Assembly with Go

    Curious if you're looking at using avo to write the assembly

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts