Standard ML standard-ml

Open-source Standard ML projects categorized as standard-ml

Top 8 Standard ML standard-ml Projects

  • mlton

    The MLton repository

  • Project mention: Flunct: Well-typed, fluent APIs in SML | news.ycombinator.com | 2023-06-25

    https://github.com/MLton/mlton/issues/473

    Is there sufficient use of MLTon "native" backend out there to consider it mature? or Do people prefer the LLVM or C backend instead in general?

  • mpl

    The MaPLe compiler for efficient and scalable parallel functional programming

  • Project mention: Garbage Collection for Systems Programmers | news.ycombinator.com | 2024-03-30

    I'm one of the authors of this work -- I can explain a little.

    "Provably efficient" means that the language provides worst-case performance guarantees.

    For example in the "Automatic Parallelism Management" paper (https://dl.acm.org/doi/10.1145/3632880), we develop a compiler and run-time system that can execute extremely fine-grained parallel code without losing performance. (Concretely, imagine tiny tasks of around only 10-100 instructions each.)

    The key idea is to make sure that any task which is *too tiny* is executed sequentially instead of in parallel. To make this happen, we use a scheduler that runs in the background during execution. It is the scheduler's job to decide on-the-fly which tasks should be sequentialized and which tasks should be "promoted" into actual threads that can run in parallel. Intuitively, each promotion incurs a cost, but also exposes parallelism.

    In the paper, we present our scheduler and prove a worst-case performance bound. We specifically show that the total overhead of promotion will be at most a small constant factor (e.g., 1% overhead), and also that the theoretical amount of parallelism is unaffected, asymptotically.

    All of this is implemented in MaPLe (https://github.com/mpllang/mpl) and you can go play with it now!

  • 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
  • mlkit

    Standard ML Compiler and Toolkit (by melsman)

  • LunarML

    The Standard ML compiler that produces Lua/JavaScript

  • smlpkg

    Generic package manager for Standard ML libraries and programs

  • smlfmt

    A custom parser/auto-formatter for Standard ML

  • molasses

    MLB support for CM (the SML/NJ Compilation and Library Manager) (by T-Brick)

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
  • sml-parseq

    parallel sequences library in Standard ML

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Standard ML standard-ml related posts

Index

What are some of the best open-source standard-ml projects in Standard ML? This list will help you:

Project Stars
1 mlton 916
2 mpl 285
3 mlkit 264
4 LunarML 240
5 smlpkg 157
6 smlfmt 61
7 molasses 17
8 sml-parseq 4

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