Last modified: Sep 22, 2026

Check SQLite Version in Python

Check SQLite Version in Python

SQLite is a lightweight, file-based database engine widely used in Python applications. Before working with SQLite in Python, it is important to know the version of SQLite currently installed. This helps ensure compatibility with features and avoids potential issues during development.

In this article, we will explain how to check the SQLite version in Python using the built-in sqlite3 module. We will provide clear examples and outputs so that even beginners can follow along easily.

Why Check SQLite Version?

Different versions of SQLite come with different features and bug fixes. Knowing your SQLite version helps you:

  • Ensure compatibility with advanced SQL features.
  • Debug errors related to unsupported functionality.
  • Plan upgrades when necessary.

Method 1: Using the sqlite3 Module

The simplest way to check the SQLite version in Python is by using the sqlite_version attribute from the sqlite3 module. This method does not require connecting to a database.


import sqlite3

# Print the SQLite version
print("SQLite Version:", sqlite3.sqlite_version)

Running this script produces the following output:


SQLite Version: 3.40.1

This output shows the version of SQLite bundled with your Python installation. Note that the version may vary depending on your operating system and Python distribution.

Method 2: Using the sqlite_version_string Attribute

If you want a more detailed version string, use the sqlite_version_string attribute. It provides additional information about the SQLite version.


import sqlite3

# Print the detailed SQLite version string
print("SQLite Version String:", sqlite3.sqlite_version_string)

Example output:


SQLite Version String: 3.40.1

This method is useful for logging or displaying version details in applications.

Method 3: Checking SQLite Version via SQL Command

You can also retrieve the SQLite version by executing a SQL query. This requires creating a connection to an in-memory database.


import sqlite3

# Connect to an in-memory database
conn = sqlite3.connect(":memory:")

# Execute SQL command to get version
cursor = conn.execute("SELECT sqlite_version();")

# Fetch and print the result
version = cursor.fetchone()
print("SQLite Version via SQL:", version[0])

# Close the connection
conn.close()

Output:


SQLite Version via SQL: 3.40.1

This approach is helpful when you want to confirm the version within a database session.

Understanding the sqlite3 Module

The sqlite3 module is part of Python’s standard library. It allows you to interact with SQLite databases directly from Python code. To use it, simply import the module as shown in previous examples.

If you are new to Python SQLite operations, check out our guide on Python SQLite Example: Simple Database Operations for hands-on practice.

Common Use Cases for Checking SQLite Version

Developers often check the SQLite version when:

  • Setting up a new project environment.
  • Troubleshooting missing or deprecated features.
  • Ensuring consistency across development and production systems.

For example, some newer SQLite versions support JSON functions, window functions, and improved performance optimizations. Knowing your version helps determine if these features are available.

Upgrading SQLite in Python

In most cases, upgrading Python also upgrades the bundled SQLite version. However, if you need a specific version, you can compile Python from source or install a custom SQLite library.

To learn more about installing and configuring SQLite in Python, refer to our article on Python SQLite Install: Complete Setup Guide.

Conclusion

Checking the SQLite version in Python is a quick and essential step for any developer working with SQLite databases. Using the sqlite3 module, you can retrieve the version through attributes like sqlite_version or by running a SQL query. This information helps maintain compatibility and ensures smooth database operations.

By mastering these techniques, you can confidently manage your SQLite environment and build robust database-driven applications in Python.