sqlalchemy-firebird
Firebird for SQLAlchemy
Decision gist · record as of 2026-08-14
Yes, if you need to use Firebird with SQLAlchemy. The package is actively maintained, has low install friction, carries no known vulnerabilities, and is licensed permissively. It targets modern Python (3.11+) and current Firebird versions (3.0+). The main consideration is whether your Firebird deployment and client library setup can be configured to work with firebird-driver.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or newer.
- A Firebird 3.0+ server and firebird-driver must be available; the Firebird client library path may need to be specified via the fb_client_library query parameter.
- Low install friction with a pure-Python wheel.
License · maintenance · safety
permissive license (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal obligations—suitable for both open-source and proprietary projects.
last release 2026-05-21 (85 days) · last repo commit 2026-05-21 · 32 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 128,891 downloads/mo, #11,692 on PyPI
Alternatives
Verify before relying
pip install sqlalchemy-firebird
from sqlalchemy import create_engine
db_uri = "firebird+firebird://sysdba:masterkey@localhost///home/me/databases/my_project.fdb?charset=UTF8"
engine = create_engine(db_uri, echo=True)
with engine.begin():
pass- Completeness of SQLAlchemy 2.0 feature coverage (e.g., async support, ORM edge cases).
- Performance characteristics under high concurrency or large result sets.
- Compatibility with specific Firebird 3.x minor versions or known limitations.
What it is and what it does
sqlalchemy-firebird is a SQLAlchemy dialect that bridges the gap between SQLAlchemy's ORM and query API and Firebird databases. It uses the modern firebird-driver as its underlying DB-API 2.0 implementation, enabling developers to work with Firebird using familiar SQLAlchemy patterns—create_engine, declarative models, and query expressions—rather than raw SQL or lower-level driver calls.
The package targets SQLAlchemy 2.0+ and Firebird 3.0+, reflecting a focus on modern versions. Connection strings follow the standard SQLAlchemy URL format, with support for local, remote, and embedded server configurations. Query parameters allow fine-tuning of character sets and client library paths, making it adaptable to different Firebird deployments.
Use it for
- Build a web application using SQLAlchemy ORM models against an existing Firebird database.
- Migrate data from Firebird to another database using SQLAlchemy's query and reflection APIs.
- Write database-agnostic Python code that can run against Firebird by swapping the connection string.
- Automate Firebird database operations (schema creation, bulk inserts) via SQLAlchemy's DDL and execution layers.
- Integrate Firebird as a backend for a Python web framework (Flask, FastAPI) that uses SQLAlchemy.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to use Firebird with SQLAlchemy.
The package is actively maintained, has low install friction, carries no known vulnerabilities, and is licensed permissively. It targets modern Python (3.11+) and current Firebird versions (3.0+). The main consideration is whether your Firebird deployment and client library setup can be configured to work with firebird-driver.
Install
sqlalchemy-firebird on PyPI
Before you install
Low install friction with a pure-Python wheel. The package is actively maintained (last commit 2026-05-21) and targets modern Python versions (3.11+). Dependencies on SQLAlchemy and firebird-driver are automatically installed.
Requires Python 3.11 or newer. A Firebird 3.0+ server and firebird-driver must be available; the Firebird client library path may need to be specified via the fb_client_library query parameter.
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal obligations—suitable for both open-source and proprietary projects.
Quickstart
pip install sqlalchemy-firebird
from sqlalchemy import create_engine
db_uri = "firebird+firebird://sysdba:masterkey@localhost///home/me/databases/my_project.fdb?charset=UTF8"
engine = create_engine(db_uri, echo=True)
with engine.begin():
passVerify before relying
- Completeness of SQLAlchemy 2.0 feature coverage (e.g., async support, ORM edge cases).
- Performance characteristics under high concurrency or large result sets.
- Compatibility with specific Firebird 3.x minor versions or known limitations.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesSQLAlchemyfirebird-driverpackaging |
| Maintenance | Actively maintained 85 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 128,891 / month, #11,692 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: Implementation :: CPythonTopic :: Database :: Front-Ends |
Evidence: sqlalchemy_firebird-2.2.0-py3-none-any.whl
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See also firebird-driver · fdb · firebird-base · sqlalchemy-jdbcapi · sqlalchemy-aurora-data-api · sqlalchemy-cockroachdb · sqlalchemy-vertica-python · casbin-sqlalchemy-adapter · databricks-sqlalchemy · dmpython