Benchmarking for Pandas and Polars Using CSV and Parquet File

• peaks-consolidation

  37 102 9.6 Go

  The Peaks Consolidation is equipped with state-of-the-art algorithms and data structures that support high-performance databending exercises. It specializes in management accounting and consolidation, with some special topics in machine learning and bioinformatics.

As I understand it OP is the author of another tool, peaks https://github.com/hkpeaks/peaks-consolidation

• polars

  144 26,218 10.0 Rust

  Dataframes powered by a multithreaded, vectorized query engine, written in Rust

  

I have updated this issue https://github.com/pola-rs/polars/issues/8533, please kindly help to solve it. I have also sent similar issues to Pandas https://github.com/pandas-dev/pandas/issues/53249

• InfluxDB

  www.influxdata.com featured

  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.

  

• Pandas

  395 41,983 10.0 Python

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

  

I have updated this issue https://github.com/pola-rs/polars/issues/8533, please kindly help to solve it. I have also sent similar issues to Pandas https://github.com/pandas-dev/pandas/issues/53249

Suggest a related project