db-benchmark VS DataFramesMeta.jl

Compare db-benchmark vs DataFramesMeta.jl and see what are their differences.


reproducible benchmark of database-like ops (by h2oai)


Metaprogramming tools for DataFrames (by JuliaData)
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db-benchmark DataFramesMeta.jl
32 3
187 336
0.0% 2.4%
8.6 9.3
2 months ago 18 days ago
R Julia
Mozilla Public License 2.0 GNU General Public License v3.0 or later
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.


Posts with mentions or reviews of db-benchmark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-24.


Posts with mentions or reviews of DataFramesMeta.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-01.

What are some alternatives?

When comparing db-benchmark and DataFramesMeta.jl you can also consider the following projects:

arrow-datafusion - Apache Arrow DataFusion and Ballista query engines

polars - Fast multi-threaded DataFrame library in Rust and Python

sktime - A unified framework for machine learning with time series

DataFrames.jl - In-memory tabular data in Julia

Preql - An interpreted relational query language that compiles to SQL.

csvs-to-sqlite - Convert CSV files into a SQLite database

siuba - Python library for using dplyr like syntax with pandas and SQL

PackageCompiler.jl - Compile your Julia Package

tidytable - Tidy interface to 'data.table'

disk.frame - Fast Disk-Based Parallelized Data Manipulation Framework for Larger-than-RAM Data

csvzip - A standalone CLI tool to reduce CSVs size by converting categorical columns in a list of unique integers.

arrow-rs - Official Rust implementation of Apache Arrow