Beaver: a common lisp library for data analysis and manipulation

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

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  • beaver

    a common lisp library for data analysis and manipulation (by Aadv1k)

  • aadv1k/beaver

  • Pandas

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  • Hello there folks! I decided to create a data analysis library modeled after pandas, as all things are, this library isn't perfect. It currently only supports a simple CSV, and serializes it into a 2D matrix. Here is currently how it looks

  • 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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  • data-frame

    Data frames for Common Lisp

  • Perhaps you'd learn more, and make a valuable community wide contribution by joining an existing project. Even writing tests is useful. Lisp-Stat has several issues that could be done by a newcomer, like improving summary functions, that would be useful to many, and you can learn a lot by reading the code of experienced lispers.

  • cl-duckdb

    Common Lisp CFFI wrapper around the DuckDB C API

  • Shameless plug, but if you want to read parquet files you might be able to use DuckDB: https://github.com/ak-coram/cl-duckdb

  • vellum

    Data Frames for Common Lisp

  • That's cool. I want to integrate parquet files into Vellum library https://github.com/sirherrbatka/vellum

  • 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.

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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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