Feature Processing in Go

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

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  • go-featureprocessing

    🔥 Fast, simple sklearn-like feature processing for Go

  • lambdo

    Feature engineering and machine learning: together at last!

  • I find this project quite interesting because sklearn has a good general design including data transformations and it does make sense to provide compatible functionality for Go.

    Feature engineering in general is a hot topic and especially if features are not simple hard-coded transformations but rather can be learned from data. For example, I developed a toolkit intended for combining feature engineering and ML:

        https://github.com/asavinov/lambdo - Feature engineering and machine learning: together at last!

  • 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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  • prosto

    Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby

  • (Currently, it is not actively developed and the focus is moved to a similar project - https://github.com/asavinov/prosto - also focused on data preprocessing and feature engineering)

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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