adbc-driver-sqlite
An ADBC driver for working with SQLite.
Decision gist · record as of 2026-08-14
Yes, if you need DBAPI 2.0 access to SQLite with Arrow table results and are willing to manage the native library dependency. The package is actively maintained, has no known vulnerabilities, and fits naturally into Arrow-based data workflows. Not necessary if you only need standard sqlite3 module or don't require Arrow integration.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- ADBC_SQLITE_LIBRARY environment variable must be set to the path of the native SQLite driver library before installation; requires Python >=3.10
- Medium install friction due to platform-specific wheels and a compiled native dependency.
- Requires setting ADBC_SQLITE_LIBRARY environment variable before installation.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions beyond attribution.
last release 2026-07-28 (17 days) · last repo commit 2026-08-14 · 621 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,369,970 downloads/mo, #3,993 on PyPI
Alternatives
Verify before relying
pip install adbc-driver-sqlite
import adbc_driver_sqlite.dbapi
with adbc_driver_sqlite.dbapi.connect() as conn:
with conn.cursor() as cur:
cur.execute("SELECT 1")
print(cur.fetch_arrow_table())- Whether PyArrow is required at runtime or only optional for the DBAPI interface
- Performance characteristics compared to standard sqlite3 or other ADBC drivers
- Compatibility with existing SQLAlchemy or ORM frameworks
What it is and what it does
adbc-driver-sqlite wraps the Apache ADBC SQLite driver with a DBAPI 2.0-compatible interface, letting you query SQLite databases using standard Python database API conventions. It sits on top of adbc-driver-manager and returns results as Arrow tables rather than plain tuples, bridging SQLite with the Arrow ecosystem.
The package is built from compiled native bindings (available for macOS, Linux, and Windows), so installation requires the ADBC_SQLITE_LIBRARY environment variable to point to the native driver library. It's intended for workflows where you want SQLite's simplicity but Arrow's columnar performance and interoperability with data science tools.
Use it for
- Query SQLite databases in Python code using standard DBAPI 2.0 cursor and connection patterns
- Retrieve query results as Arrow tables for efficient downstream processing in pandas or other Arrow-aware libraries
- Integrate SQLite into data pipelines that already use Apache Arrow for columnar data handling
- Prototype or migrate applications from other ADBC drivers to SQLite without changing the query interface
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need DBAPI 2.0 access to SQLite with Arrow table results and are willing to manage the native library dependency.
The package is actively maintained, has no known vulnerabilities, and fits naturally into Arrow-based data workflows. Not necessary if you only need standard sqlite3 module or don't require Arrow integration.
Install
adbc-driver-sqlite on PyPI
Before you install
Medium install friction due to platform-specific wheels and a compiled native dependency. Requires setting ADBC_SQLITE_LIBRARY environment variable before installation. Actively maintained with recent releases; last commit 2026-08-14.
ADBC_SQLITE_LIBRARY environment variable must be set to the path of the native SQLite driver library before installation; requires Python >=3.10
License in practice
Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions beyond attribution.
Quickstart
pip install adbc-driver-sqlite
import adbc_driver_sqlite.dbapi
with adbc_driver_sqlite.dbapi.connect() as conn:
with conn.cursor() as cur:
cur.execute("SELECT 1")
print(cur.fetch_arrow_table())Verify before relying
- Whether PyArrow is required at runtime or only optional for the DBAPI interface
- Performance characteristics compared to standard sqlite3 or other ADBC drivers
- Compatibility with existing SQLAlchemy or ORM frameworks
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 2 packagesadbc-driver-managerimportlib-resources |
| Maintenance | Actively maintained 17 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,369,970 / month, #3,993 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: adbc_driver_sqlite-1.12.0-py3-none-macosx_10_15_x86_64.whl; adbc_driver_sqlite-1.12.0-py3-none-macosx_11_0_arm64.whl; adbc_driver_sqlite-1.12.0-py3-none-manylinux_2_28_aarch64.whl; adbc_driver_sqlite-1.12.0-py3-none-manylinux_2_28_x86_64.whl; adbc_driver_sqlite-1.12.0-py3-none-win_amd64.whl
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See also adbc-driver-flightsql · adbc-driver-manager · adbc-driver-postgresql · pymonetdb · adbc-driver-snowflake · pyarrow · firebolt-sdk · arrow-odbc · libsql-experimental · pyadomd