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sqlcipher3-wheels

DB-API 2.0 interface for SQLCipher 3.x

With conditionsPyPI Python ModulesReleased Jan 2026125.3K downloads / mozlib/libpngPlatform wheel

Decision gist · record as of 2026-08-14

platform wheels — sqlcipher3_wheels-0.5.7-cp310-cp310-macosx_10_9_universal2.whl · sqlcipher3_wheels-0.5.7-cp310-cp310-macosx_10_9_x86_64.whl · sqlcipher3_wheels-0.5.7-cp310-cp310-macosx_11_0_arm64.whl
v0.5.7 · released 2026-01-07

Yes, with conditions. The package provides a straightforward path to encrypted SQLite if you need DB-API 2.0 compatibility and pre-built wheels for your platform. However, the aging maintenance status (219 days since last release, 34 stars) suggests evaluating alternatives for new projects. No known vulnerabilities and permissive licensing are positive signals. Install if you have an existing codebase using this fork or need wheels for a specific architecture.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • SQLCipher version 4 is built into the wheels; if working with databases encrypted by SQLCipher version 3, you must execute PRAGMA cipher_compatibility = 3 after PRAGMA key before any operations.
  • Medium friction: pre-built wheels are available for multiple platforms (macOS, Linux, Windows across architectures), but the package is aging—last release was 219 days ago and the repository shows limited activity (34 stars).
  • No runtime dependencies simplifies installation.

License · maintenance · safety

zlib/libpng (permissive) — Licensed under zlib/libpng (permissive), allowing use in both open-source and proprietary projects without significant restrictions.

last release 2026-01-07 (219 days) · last repo commit 2026-01-11 · 34 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 125,278 downloads/mo, #11,827 on PyPI

Verify before relying

from sqlcipher3 import dbapi2 as sqlite
conn = sqlite.connect('test.db')
c = conn.cursor()
c.execute("PRAGMA key='password'")
c.execute("PRAGMA cipher_compatibility = 3")
c.execute("CREATE TABLE stocks (date text, symbol text, qty real)")
c.execute("INSERT INTO stocks VALUES ('2006-01-05', 'RHAT', 100)")
conn.commit()
c.close()
  • Whether this fork remains actively maintained or if alternatives are recommended for new projects
  • Full Python version support range beyond cp310 and cp311 visible in wheel filenames
  • Performance characteristics and feature parity with other SQLCipher bindings
Same gist for agents: .md · .json

What it is and what it does

sqlcipher3-wheels is a Python binding to SQLCipher, an encrypted variant of SQLite. It adapts pysqlite3 to work with SQLCipher, exposing the same DB-API 2.0 interface developers expect from the standard sqlite3 module. The package is distributed as pre-built wheels for multiple platforms and architectures, eliminating the need to compile SQLCipher from source during installation.

The binding includes several enhancements over the standard library sqlite3: user-defined window functions, VFS and flags support for connection customization, incremental BLOB I/O, improved error messages, and native backup API. The wheels are built with sqlcipher version 4, which means databases encrypted with version 3 require a compatibility pragma before use. No external runtime dependencies are required—everything is self-contained in the wheel.

Use it for

  • Store sensitive application data (credentials, API keys, personal information) in an encrypted local database
  • Build desktop or mobile applications requiring client-side encryption without server infrastructure
  • Migrate from standard SQLite to encrypted storage while keeping existing DB-API code largely unchanged
  • Implement compliance requirements for data-at-rest encryption in Python applications
  • Develop offline-first applications where encrypted local storage protects user data on untrusted devices

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, with conditions.

The package provides a straightforward path to encrypted SQLite if you need DB-API 2.0 compatibility and pre-built wheels for your platform. However, the aging maintenance status (219 days since last release, 34 stars) suggests evaluating alternatives for new projects. No known vulnerabilities and permissive licensing are positive signals. Install if you have an existing codebase using this fork or need wheels for a specific architecture.

Install

sqlcipher3-wheels on PyPI

Before you install

Medium friction: pre-built wheels are available for multiple platforms (macOS, Linux, Windows across architectures), but the package is aging—last release was 219 days ago and the repository shows limited activity (34 stars). No runtime dependencies simplifies installation.

SQLCipher version 4 is built into the wheels; if working with databases encrypted by SQLCipher version 3, you must execute PRAGMA cipher_compatibility = 3 after PRAGMA key before any operations.

License in practice

Licensed under zlib/libpng (permissive), allowing use in both open-source and proprietary projects without significant restrictions.

Quickstart

from sqlcipher3 import dbapi2 as sqlite
conn = sqlite.connect('test.db')
c = conn.cursor()
c.execute("PRAGMA key='password'")
c.execute("PRAGMA cipher_compatibility = 3")
c.execute("CREATE TABLE stocks (date text, symbol text, qty real)")
c.execute("INSERT INTO stocks VALUES ('2006-01-05', 'RHAT', 100)")
conn.commit()
c.close()

Verify before relying

  • Whether this fork remains actively maintained or if alternatives are recommended for new projects
  • Full Python version support range beyond cp310 and cp311 visible in wheel filenames
  • Performance characteristics and feature parity with other SQLCipher bindings

Package facts

Licensezlib/libpng permissive
Python supportNot specified
Install frictionMedium. Platform-specific wheel
Runtime dependenciesNone
MaintenanceAging 219 days since the last release
Last repo commit
First released
Downloads125,278 / month, #11,827 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 4 - BetaIntended Audience :: DevelopersOperating System :: MacOS :: MacOS XOperating System :: Microsoft :: WindowsOperating System :: POSIXProgramming Language :: CProgramming Language :: PythonTopic :: Database :: Database Engines/ServersTopic :: Software Development :: Libraries :: Python Modules

Evidence: sqlcipher3_wheels-0.5.7-cp310-cp310-macosx_10_9_universal2.whl; sqlcipher3_wheels-0.5.7-cp310-cp310-macosx_10_9_x86_64.whl; sqlcipher3_wheels-0.5.7-cp310-cp310-macosx_11_0_arm64.whl; sqlcipher3_wheels-0.5.7-cp310-cp310-manylinux_2_28_aarch64.whl; sqlcipher3_wheels-0.5.7-cp310-cp310-manylinux_2_28_i686.whl; sqlcipher3_wheels-0.5.7-cp310-cp310-manylinux_2_28_ppc64le.whl; sqlcipher3_wheels-0.5.7-cp310-cp310-manylinux_2_28_s390x.whl; sqlcipher3_wheels-0.5.7-cp310-cp310-manylinux_2_28_x86_64.whl; sqlcipher3_wheels-0.5.7-cp310-cp310-musllinux_1_2_aarch64.whl; sqlcipher3_wheels-0.5.7-cp310-cp310-musllinux_1_2_i686.whl; sqlcipher3_wheels-0.5.7-cp310-cp310-musllinux_1_2_ppc64le.whl; sqlcipher3_wheels-0.5.7-cp310-cp310-musllinux_1_2_s390x.whl; sqlcipher3_wheels-0.5.7-cp310-cp310-musllinux_1_2_x86_64.whl; sqlcipher3_wheels-0.5.7-cp310-cp310-win32.whl; sqlcipher3_wheels-0.5.7-cp310-cp310-win_amd64.whl; sqlcipher3_wheels-0.5.7-cp310-cp310-win_arm64.whl; sqlcipher3_wheels-0.5.7-cp311-cp311-macosx_10_9_universal2.whl; sqlcipher3_wheels-0.5.7-cp311-cp311-macosx_10_9_x86_64.whl; sqlcipher3_wheels-0.5.7-cp311-cp311-macosx_11_0_arm64.whl; sqlcipher3_wheels-0.5.7-cp311-cp311-manylinux_2_28_aarch64.whl

Tags

Capabilities
encrypted sqlite database pythonsqlcipher python bindingsqlite encryption db-apipassword protected databasesqlcipher3 wheelsencrypted sql databasesqlite with encryption
Topics
encryptionsqlite-bindingdb-api-2.0

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See also sqlcipher3 · sqlcipher3-binary · pysqlite3 · sqlean.py · pysqlite3-binary · django-fernet-fields-v2 · djfernet · django-encrypted-model-fields · dynamodb-encryption-sdk · pymssql