What's new on CPAN - May 2017

Welcome to “What’s new on CPAN”, a curated look at last month’s new CPAN uploads for your reading and programming pleasure. Enjoy!

N.B. I’ll be speaking at The Perl Conference: DC 2017. My talk What’s New on CPAN - Annual Edition will cover some highlights and curiosities from the past year of CPAN uploads. Come and say hi!

APIs & Apps

Net::Async::Trello is a low level, minimalist client for Trello

Get a non blocking interface to Music Player Daemon with AnyEvent::Net::MPD

VMware::vCloudDirector provides an interface to VMWare vCloud Directory REST API

Config & Devops

CloudDeploy is a toolkit for building and managing AWS CloudFormation stacks

A simple distributed cloud friendly cron for the masses using CloudCron

Data

Generate color data for testing using Data::Faker::Colour

File::PCAP is a module for reading/writing PCAP files

Automatically normalize Unicode hash keys with Hash::Normalize

Net::DNS::Extlang is a DNS extension language

Development & Version Control

API::CLI is a generic framework for creating REST API command line clients

Benchmark different parameter validation modules using Benchmark::Featureset::ParamCheck

Ref::Util::XS is the XS implementation of Ref::Util

Get a superfast router using Router::XS (disclaimer: I am the module author)

SQS::Worker is a lightweight framework for async processing of messages from SQS queues

Get tab completion in the Reply REPL for exported symbol names with Reply::Plugin::Autocomplete::ExportedSymbols

Hardware

Interact with the Palo Alto firewall API with Device::PaloAlto::Firewall

Extract GPS data from GPS units using GPSD::Parse

Access and manipulate Raspberry Pi GPIO pins with RPi::Pin

Image::Sane let’s you use SANE-compatible scanner devices from Perl

Other

XS::Tutorial provides documentation for learning Perl XS (disclosure, I am the module author).

Science & Mathematics

AI::XGBoost is a Perl wrapper for XGBoost, the gradient boosting machine learning framework

Bio::DB::Big provides a perly interface to BigWig and BigBed files via libBigWig

Web