Getting started with Standard ML

This page summarizes the projects mentioned and recommended in the original post on /r/sml
standard-ml Compiler Functional programming Regions

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  • mlkit

    Standard ML Compiler and Toolkit (by melsman)

    • The developer mailing lists for Poly/ML and MLton are active and the maintainers are very friendly. The MLKit Github issues are active. Help needed for SML/NJ.

  • awesome-sml

    Useful things for Standard ML

    • Awesome list: https://github.com/i4ki/awesome-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.

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  • sml-rmath

    SML library for the Rmath library, with seven SML implementations/dialects

    • Some repos, supporting FFI and multiple implementations: https://github.com/mclements/sml-rmath, https://github.com/kni/sml-bdb

  • sml-bdb

    Berkeley DB binding for Standard ML

    • Some repos, supporting FFI and multiple implementations: https://github.com/mclements/sml-rmath, https://github.com/kni/sml-bdb

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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