From NumPy to Arrow: How Pandas 2.0 is Changing Data Processing for the Better

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

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.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured

  • tpch

    • /u/ritchie46 maintains a repo using the more realistic TPC-H benchmarks. He just merged a PR with the pandas-back-by-arrow numbers (https://github.com/pola-rs/tpch/pull/36) and still, `polars` is miles ahead in terms of performance.

  • 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
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.

Suggest a related project

Related posts