|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Ransack||5,477||14,929||164||5 days ago||66||May 25, 2022||119||mit||Ruby|
|Arrow Datafusion||4,056||3||48||13 hours ago||78||July 25, 2023||812||apache-2.0||Rust|
|Apache Arrow DataFusion SQL Query Engine|
|Roapi||2,922||12 hours ago||17||March 20, 2022||42||apache-2.0||Rust|
|Create full-fledged APIs for slowly moving datasets without writing a single line of code.|
|Blazingsql||1,722||2 years ago||142||apache-2.0||C++|
|BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.|
|Arrow Ballista||930||3||6 days ago||17||February 28, 2023||163||apache-2.0||Rust|
|Apache Arrow Ballista Distributed Query Engine|
|Datafusion||626||5 years ago||apache-2.0||Rust|
|DataFusion has now been donated to the Apache Arrow project|
|Vdsql||57||3 months ago||apache-2.0||Python|
|VisiData interface for databases|
|Vinum||44||2 years ago||7||March 19, 2021||bsd-3-clause||C++|
|Vinum is a SQL processor for Python, designed for data analysis workflows and in-memory analytics.|
|Opteryx||35||2 days ago||89||apache-2.0||Python|
|🦖 A SQL Query Engine you can execute over multiple databases and file formats. Query your data, where it lives.|
|Prequel||21||5 years ago||Go|
|Interactive MySQL query editor for the terminal with syntax highlighting|
DataFusion is a very fast, extensible query engine for building high-quality data-centric systems in Rust, using the Apache Arrow in-memory format. Python Bindings are also available. DataFusion offers SQL and Dataframe APIs, excellent performance, built-in support for CSV, Parquet, JSON, and Avro, extensive customization, and a great community.
Here are links to some important information
DataFusion is great for building projects and products like SQL interfaces, time series platforms, and domain specific query engines. Click Here to see a list known users.
The developer’s guide contains information on how to contribute.