---
id: syntaqlite
version: "0.7.1"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# syntaqlite — SQLite SQL tools — parser, formatter, validator, and MCP server

License: permissive · Maintenance: active · Downloads: 367.9K/mo

## What it is and what it does

Syntaqlite is a Python library that parses, formats, validates, and tokenizes SQLite SQL using SQLite's own grammar and tokenizer—not an approximation, but the actual SQLite parser. It provides a typed AST with IDE autocomplete, a formatter that normalizes SQL structure, a tokenizer that breaks queries into categorized tokens, and schema-aware analysis that catches unknown tables, columns, and function mismatches without touching a database. It also computes column lineage to trace where output columns originate from source tables.

The library is built around a reusable `Syntaqlite` instance and exposes both typed Python objects (for safety and IDE support) and raw dict output (for performance). It includes a CLI tool for formatting, parsing, and validating SQL files, with support for pinning to specific SQLite versions and enabling compile-time flags. Zero runtime dependencies and wheels for Linux, macOS, Windows, and WebAssembly.

Use it for:

- Format and normalize SQL queries in applications or CI pipelines to enforce consistent style without a database.
- Validate user-submitted SQL against a schema to catch typos and unknown columns before execution.
- Build linters or IDE plugins that need accurate SQLite syntax understanding and error reporting.
- Extract column lineage from SELECT queries to understand data provenance in ETL or analytics systems.
- Tokenize and analyze SQL for query optimization, cost estimation, or security scanning.
- Embed SQL parsing in tools that generate or transform SQLite queries programmatically.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Parse, format, validate, and tokenize SQLite SQL using SQLite's own grammar and tokenizer, with full AST support and schema-aware analysis including column lineage.

Yes. Syntaqlite is actively maintained, has no runtime dependencies, offers permissive licensing, and solves a real problem—accurate SQLite SQL parsing without approximations. The medium install friction (compiled wheels) is standard for performance-critical libraries. Install if you need to parse, validate, or analyze SQLite SQL in Python; skip if you only execute queries against a live database.

## Install

pip install syntaqlite
uv add syntaqlite
poetry add syntaqlite

## Installing syntaqlite

Before you install: Medium install friction due to compiled wheels for multiple platforms (Linux x86_64/aarch64, macOS x86_64/arm64, Windows x86_64, WebAssembly). Active maintenance with recent releases; last commit 2026-07-08.

License in practice: Apache-2.0 permissive license allows commercial and private use with attribution; SQLite components are public domain under the SQLite blessing.

Quickstart:

import syntaqlite

with syntaqlite.Syntaqlite() as sq:
    formatted = sq.format_sql("select 1")
    stmts = sq.parse("SELECT 1 + 2 FROM foo")
    tokens = list(sq.tokenize("SELECT 1"))

Requires Python 3.10 or later.

Verify before relying:

- Whether the AST node types and enums remain stable across minor version updates.
- Performance characteristics of parse_raw() vs typed parsing for large SQL batches.
- Whether schema analysis supports all SQLite pragmas and compile-time flags.

## Package facts

- License: Apache-2.0 (permissive)
- Python support: supports_current
- Install friction: medium
- Maintenance: active
- Downloads: 367.9K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

sqlite sql parser, sql formatter, sql validation, sql ast, sqlite query analysis, sql tokenizer, schema validation, sql-parsing, sqlite, schema-validation

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