sqlparse VS sqlfluff

Compare sqlparse vs sqlfluff and see what are their differences.

sqlparse

A non-validating SQL parser module for Python (by andialbrecht)

sqlfluff

A modular SQL linter and auto-formatter with support for multiple dialects and templated code. (by sqlfluff)
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sqlparse sqlfluff
7 35
3,574 7,199
- 2.1%
8.2 9.6
8 days ago 2 days ago
Python Python
BSD 3-clause "New" or "Revised" 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.

sqlparse

Posts with mentions or reviews of sqlparse. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-08.
  • Show HN: Databasediagram.com – Private, Text to Entity-Relationship Diagram Tool
    7 projects | news.ycombinator.com | 8 Jun 2023
    Suggest checking out the sqlparse library for a way to do the different flavours without needing to address each case directly: https://github.com/andialbrecht/sqlparse
  • Data Load Diagram
    2 projects | /r/dataengineering | 6 Mar 2023
    Gotcha, since we haven't actually written all of this yet I don't have any useful code snippets to share but we've discussed tackling the problem internally using something like sqlparse. You'd need to identify the relevant sql chunks, parse them for table dependency information and then create the relevant entities in whichever data lineage tool you were using.
  • This Week In Python
    5 projects | dev.to | 16 Sep 2022
    sqlparse – A non-validating SQL parser module for Python
  • Open Source SQL Parsers
    17 projects | dev.to | 8 Oct 2021
    Regular expressions is a popular approach to extract information from SQL statements. However, regular expressions quickly become too complex to handle common features like WITH, sub-queries, windows clauses, aliases and quotes. sqlparse is a popular python package that uses regular expressions to parse SQL.
  • Automated SQL formatting checks
    2 projects | /r/dataengineering | 27 Sep 2021
    This one is not bad: https://github.com/andialbrecht/sqlparse.
  • Let's write a compiler, part 5: A code generator
    14 projects | news.ycombinator.com | 19 Aug 2021
  • BigQuery Lineage
    1 project | /r/bigquery | 7 May 2021
    We used this repo for this: https://github.com/andialbrecht/sqlparse. I may have miscommunicated. We didn't write the parser from scratch, we created a way for the parser to detect downstream and upstream dependencies of the resource.

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 sqlparse and sqlfluff you can also consider the following projects:

zetasql - ZetaSQL - Analyzer Framework for SQL

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

pyparsing - Python library for creating PEG parsers [Moved to: https://github.com/pyparsing/pyparsing]

dbt-utils - Utility functions for dbt projects.

Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.

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

PLY - Python Lex-Yacc

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

Pygments

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

JSqlParser - JSqlParser parses an SQL statement and translate it into a hierarchy of Java classes. The generated hierarchy can be navigated using the Visitor Pattern

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.