Best alternative to Pandas 2023?

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

InfluxDB high-performance time series database
Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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  1. dtplyr

    Data table backend for dplyr

    https://dtplyr.tidyverse.org/ ?

  2. InfluxDB

    InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.

    InfluxDB logo
  3. db-benchmark

    reproducible benchmark of database-like ops

    And what's your rating scale? Objectively, pandas loses in performance against everything relevant. It has a wonky syntax that requires using lambda all over the place or to retype your df name at least twice for many operations.

  4. siuba

    Python library for using dplyr like syntax with pandas and SQL

    I don't know what's best for you, but I can recommend Siuba, a tidy interface for Python to send queries to pandas and SQL-db.

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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