vscode-sqlfluff VS sqlfluff

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

vscode-sqlfluff

An extension to use the sqlfluff linter in vscode. (by sqlfluff)

sqlfluff

A modular SQL linter and auto-formatter with support for multiple dialects and templated code. (by sqlfluff)
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vscode-sqlfluff sqlfluff
1 35
133 7,199
3.8% 2.1%
7.6 9.6
27 days ago 7 days ago
TypeScript Python
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.

vscode-sqlfluff

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.

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.

What are some alternatives?

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

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

sqlparse - A non-validating SQL parser module for Python

dbt-utils - Utility functions for dbt projects.

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

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

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.

streamlit - Streamlit — A faster way to build and share data apps.

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

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

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

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