db-benchmark VS DataFrame

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

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db-benchmark DataFrame
50 61
217 1,450
3.7% -
2.9 9.0
about 2 months ago 6 days ago
R C++
Mozilla Public License 2.0 BSD 3-clause "New" or "Revised" License
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.

db-benchmark

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 2022-05-12.

DataFrame

Posts with mentions or reviews of DataFrame. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-30.

What are some alternatives?

When comparing db-benchmark and DataFrame you can also consider the following projects:

arrow-datafusion - Apache Arrow DataFusion and Ballista query engines

polars - Fast multi-threaded DataFrame library in Rust | Python | Node.js

databend - A modern Elasticity and Performance cloud data warehouse, activate your object storage for real-time analytics.

datatable - A Python package for manipulating 2-dimensional tabular data structures

sktime - A unified framework for machine learning with time series

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

DataFramesMeta.jl - Metaprogramming tools for DataFrames

faiss - A library for efficient similarity search and clustering of dense vectors.

zhetapi - A C++ ML and numerical analysis API, with an accompanying scripting language.

julia - The Julia Programming Language