sqlfluff VS vscode-sqlfluff

Compare sqlfluff vs vscode-sqlfluff and see what are their differences.


A modular SQL linter and auto-formatter with support for multiple dialects and templated code. (by sqlfluff)


An extension to use the sqlfluff linter in vscode. (by sqlfluff)
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sqlfluff vscode-sqlfluff
31 1
5,833 100
4.8% -
9.4 7.7
3 days ago 29 days ago
Python TypeScript
MIT License MIT 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.


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 2023-01-31.


Posts with mentions or reviews of vscode-sqlfluff. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-06.

What are some alternatives?

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

dbt-utils - Utility functions for dbt projects.

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

soda-sql - Data profiling, testing, and monitoring for SQL accessible data.

sqlparse - A non-validating SQL parser module for Python

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

airbyte - Data integration platform for ELT pipelines from APIs, databases & files to warehouses & lakes.

streamlit - Streamlit — The fastest way to build data apps in Python

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

superset - Apache Superset is a Data Visualization and Data Exploration Platform

Prefect - The easiest way to build, run, and monitor data pipelines at scale.

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows