Best alternative to Pandas 2023?

This page summarizes the projects mentioned and recommended in the original post on /r/datascience
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AppSignal knows why the f*#k it crashed.
Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise.
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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  1. dtplyr

    Data table backend for dplyr

    https://dtplyr.tidyverse.org/ ?

  2. AppSignal

    AppSignal knows why the f*#k it crashed. Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise.

    AppSignal 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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