fastexcel VS cuallee

Compare fastexcel vs cuallee and see what are their differences.

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fastexcel cuallee
2 5
68 107
- -
8.7 9.0
6 days ago 3 days ago
Rust Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

fastexcel

Posts with mentions or reviews of fastexcel. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-23.

cuallee

Posts with mentions or reviews of cuallee. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-30.

What are some alternatives?

When comparing fastexcel and cuallee you can also consider the following projects:

calamine - A pure Rust Excel/OpenDocument SpreadSheets file reader: rust on metal sheets

data-diff - Compare tables within or across databases

functime - Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

soda-core - :zap: Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io

arrow - 🏹 Better dates & times for Python

great_expectations - Always know what to expect from your data.

RustPython - A Python Interpreter written in Rust

deequ - Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

awesome-pandas-alternatives - Awesome list of alternative dataframe libraries in Python.

ibis - the portable Python dataframe library

polars-xdt - Polars plugin offering eXtra stuff for DateTimes