https://github.com/crystal-ameba/vscode-crystal-ameba/blob/master/CHANGELOG.md
AMQProxy - an intelligent AMQP proxy
https://github.com/cloudamqp/amqproxy
An intelligent AMQP proxy with AMQP connection and channel pooling/reusing. Allows e.g. PHP clients to keep long lived connections to upstream servers, increasing publishing speed with a magnitude or more.
In the AMQP protocol, if you open a connection the client and the server has to exchange 7 TCP packages. If you then want to publish a message you have to open a channel which requires 2 more, and then to do the publish you need at least one more, and then to gracefully close the connection you need 4 more packages. In total 15 TCP packages, or 18 if you use AMQPS (TLS). For clients that can't for whatever reason keep long-lived connections to the server this has a considerable latency impact.
ETCD client for crystal lang
https://github.com/place-labs/crystal-etcd
etcd client for crystal lang implemented as a thin wrapper over etcd's gRPC-HTTP gateway.
This client was developed against etcd v3.3, to use a higher version, set api_version arg to an appropriate version prefix when instantiating the client.
Ameba v0.13.4 has been released
https://github.com/crystal-ameba/ameba/releases/tag/v0.13.4
A small bugfix release to support Crystal 0.36.
Macro Tips: TypeDeclaration
Celestine: A neat library and DSL for creating graphics using SVG
https://github.com/celestinecr/celestine
A neat library and DSL for creating graphics using SVG
Crystal client for AWS DynamoDB
https://github.com/veelenga/aws-dynamodb.cr
I made a tiny client to interact with AWS DynamoDB
☘️ Lucky Jumpstart
A template project for web applications using Lucky.
Datadog: a Crystal library providing an APM tracing client for cloud monitoring service Datadog
https://github.com/jgaskins/datadog
A Crystal library providing an APM tracing client for Datadog.
Alea: a collection of utilities to work with most known probability distributions
Currently Available
- PRNGs implementations
- Random sampling (single/double precision)
- Cumulative Distribution Functions (single/double precision)
Example
random = Alea::Random.new
random.normal # => -0.36790519967553736 : Float64
# Append '32' to call the single-precision version
random.normal32 # => 0.19756398 : Float32