sqlfluff VS soda-sql

Compare sqlfluff vs soda-sql and see what are their differences.

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sqlfluff soda-sql
35 25
7,189 50
1.9% -
9.6 8.2
4 days ago over 1 year ago
Python 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.

sqlfluff

Posts with mentions or reviews of sqlfluff. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-19.

soda-sql

Posts with mentions or reviews of soda-sql. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-18.

What are some alternatives?

When comparing sqlfluff and soda-sql you can also consider the following projects:

vscode-sqlfluff - An extension to use the sqlfluff linter in vscode.

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

sqlparse - A non-validating SQL parser module for Python

pandera - A light-weight, flexible, and expressive statistical data testing library

dbt-utils - Utility functions for dbt projects.

dbt-sessionization - Using DBT for Creating Session Abstractions on RudderStack - an open-source, warehouse-first customer data pipeline and Segment alternative.

ale - Check syntax in Vim/Neovim asynchronously and fix files, with Language Server Protocol (LSP) support

re_data - re_data - fix data issues before your users & CEO would discover them 😊

Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:

trino_data_mesh - Proof of concept on how to gain insights with Trino across different databases from a distributed data mesh

airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

spark-fast-tests - Apache Spark testing helpers (dependency free & works with Scalatest, uTest, and MUnit)