db-benchmark VS HTTP.jl

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

db-benchmark

reproducible benchmark of database-like ops (by h2oai)

HTTP.jl

HTTP for Julia (by JuliaWeb)
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db-benchmark HTTP.jl
32 4
188 466
0.5% 1.9%
8.5 8.0
2 months ago 1 day 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.

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 2021-11-24.

HTTP.jl

Posts with mentions or reviews of HTTP.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-26.

What are some alternatives?

When comparing db-benchmark and HTTP.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

julia - The Julia Programming Language

DataFramesMeta.jl - Metaprogramming tools for DataFrames

duckdf - 🦆 SQL for R dataframes, with ducks

RCall.jl - Call R from Julia

DaemonMode.jl - Client-Daemon workflow to run faster scripts in Julia

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

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

sktime - A unified framework for machine learning with time series

databend - An elastic and reliable Serverless Data Warehouse, offers Blazing Fast Query and combines Elasticity, Simplicity, Low cost of the Cloud, built to make the Data Cloud easy