What are you favorite guides for getting started with SML today?

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

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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  • ponyo

    Library and Toolkit for Standard ML

  • Chris Cannam's blog has some nice writing on the differences in getting compilers working and some general formatting thoughts [1,2]. Alex Alegre's A Tour of Standard ML [3] is pretty nice, too, and I think it starts to get through your 3rd bullet. Jake Zimmerman's blog has some nice setup information for developing Standard ML with Vim [4]. Naturally there's your writing at ponyo.org, too.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
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.

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