starrocks
Python SQLAlchemy Dialect for StarRocks with optional Alembic integration
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no known vulnerabilities, supports current Python versions, and provides a well-integrated path into StarRocks for Python developers already using SQLAlchemy. Install it if you need to connect a Python application to StarRocks; the low friction and permissive license make it a straightforward choice.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.10, <= 3.14; StarRocks server must be running and accessible at the specified host and port.
- Low friction install with a pure-Python wheel.
- Maintained actively with a recent release and high repository engagement.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing use in commercial and proprietary projects with minimal restrictions.
last release 2026-08-01 (13 days) · last repo commit 2026-08-14 · 11,992 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 581,817 downloads/mo, #5,906 on PyPI
Alternatives
Verify before relying
pip install starrocks
from sqlalchemy import create_engine, text
engine = create_engine('starrocks://root@localhost:9030/mydatabase')
with engine.connect() as connection:
rows = connection.execute(text("SELECT * FROM mytable LIMIT 2")).fetchall()
print(rows)- Whether asyncmy2 is a typo for asyncmy or a distinct package; the dependency list shows 'asyncmy2' but documentation references 'asyncmy'.
- Performance characteristics and connection pooling behavior under high concurrency.
- Completeness of StarRocks-specific DDL support (e.g., all table properties, index types, partition strategies).
What it is and what it does
This package is a SQLAlchemy dialect that bridges Python applications to StarRocks, a next-generation real-time analytics database. It allows developers to use SQLAlchemy's ORM and expression language to query and manage StarRocks tables, as well as define tables with StarRocks-specific attributes like primary keys, distribution strategies, and replication settings. The package also integrates with Alembic to automate schema migrations, including support for views and materialized views.
The dialect supports both synchronous connections (via pymysql) and asynchronous connections (via asyncmy2), making it suitable for both traditional and async Python applications. It includes helpers for defining views and materialized views, and can generate migration code from existing database schemas. The package is actively maintained and targets modern Python versions from 3.10 to 3.14.
Use it for
- Build a Python web application that queries StarRocks for real-time analytics dashboards using SQLAlchemy ORM.
- Automate schema migrations in a StarRocks data warehouse using Alembic without writing raw SQL.
- Define and manage complex StarRocks tables with distribution and replication settings via SQLAlchemy declarative models.
- Integrate async Python applications (e.g., FastAPI services) with StarRocks using the asyncmy driver.
- Generate Python ORM models from an existing StarRocks database schema using sqlacodegen.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has no known vulnerabilities, supports current Python versions, and provides a well-integrated path into StarRocks for Python developers already using SQLAlchemy. Install it if you need to connect a Python application to StarRocks; the low friction and permissive license make it a straightforward choice.
Install
starrocks on PyPI
Before you install
Low friction install with a pure-Python wheel. Maintained actively with a recent release and high repository engagement. Requires Python 3.10 or later and depends on stable, widely-used libraries (sqlalchemy, pymysql, lark, alembic, asyncmy2).
Requires Python >= 3.10, <= 3.14; StarRocks server must be running and accessible at the specified host and port.
License in practice
Licensed under Apache-2.0 (permissive), allowing use in commercial and proprietary projects with minimal restrictions.
Quickstart
pip install starrocks
from sqlalchemy import create_engine, text
engine = create_engine('starrocks://root@localhost:9030/mydatabase')
with engine.connect() as connection:
rows = connection.execute(text("SELECT * FROM mytable LIMIT 2")).fetchall()
print(rows)Verify before relying
- Whether asyncmy2 is a typo for asyncmy or a distinct package; the dependency list shows 'asyncmy2' but documentation references 'asyncmy'.
- Performance characteristics and connection pooling behavior under high concurrency.
- Completeness of StarRocks-specific DDL support (e.g., all table properties, index types, partition strategies).
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release <3.15,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagessqlalchemypymysqllarkalembicasyncmy2 |
| Maintenance | Actively maintained 13 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 581,817 / month, #5,906 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleIntended Audience :: DevelopersProgramming Language :: PythonProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyTopic :: Database :: Front-Ends |
Evidence: starrocks-1.3.4-py3-none-any.whl
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