Cold Showers

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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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  • awesome-cold-showers

    For when people get too hyped up about things

  • zod

    TypeScript-first schema validation with static type inference

  • > It irks me a lot that you can just do JSON.parse, declare any type on it and call it a day

    You should look at zod [0], which validates data with inferred types based on the validation having passed, so you do have the guarantee of the type being correct at runtime.

    [0] https://zod.dev

  • 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
  • lleaves

    Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

  • I built this decision tree (LightGBM) compiler last summer: https://github.com/siboehm/lleaves

    It get's you ~10x speedups for batch predictions, more if your model is big. It's not complicated, it ended up being <1K lines of Python code. I heard a couple of stories like yours, where people had multi-node spark clusters running LightGBM, and it always amused me because by if you compiled the trees instead you could get rid of the whole cluster.

  • miceforest

    Multiple Imputation with LightGBM in Python

  • Wow, very interesting, thanks for this. Daily batch predictions is all we do. I’m the maintainer of miceforest[1], do you think this would integrate well into the package at a brief glance? I’m always looking for ways to make this package faster.

    [1] https://github.com/AnotherSamWilson/miceforest

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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