dmpython
Python interface to Dameng
Decision gist · record as of 2026-08-14
Yes. dmPython is actively maintained, has no known vulnerabilities, installs cleanly via wheels, and is the official driver for Dameng database access from Python. Install it if you need to connect Python applications to Dameng databases. Be aware that SSL encryption support depends on libssl 1.1+ being available or properly configured on your system.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Source installations require DPI (Dameng DPI interface) environment configuration; wheel installations do not.
- SSL encryption module (libssl 1.1+) may need to be available or LD_LIBRARY_PATH configured to point to the bundled dmssl directory.
- Installation is straightforward via wheel packages with no runtime dependencies.
License · maintenance · safety
permissive license (permissive) — Licensed under the Python Software Foundation License (permissive), allowing use in most projects without significant restrictions.
last release 2026-07-17 (28 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 387,161 downloads/mo, #7,045 on PyPI
Alternatives
Verify before relying
pip install dmPython
import dmPython
conn = dmPython.connect('SYSDBA/Dmsys_123@localhost:5236/sch1')
cursor = conn.cursor()
cursor.execute("SELECT * FROM DUAL;")
result = cursor.fetchall()- Whether sqlalchemy and django dialect support (dmSQLAlchemy, dmDjango) are included or require separate installation
- Specific Python version minimum requirement (classifiers list Python 2 and 3 but requires_python is unspecified)
- Full scope of supported Dameng database versions and compatibility matrix
What it is and what it does
dmPython is the official Python driver for Dameng databases, maintained by Dameng and built on the Python DB API 2.0 standard. It allows Python applications to connect directly to Dameng databases and execute SQL queries, retrieve results, and manage transactions through a familiar cursor-based interface. The driver is distributed as compiled wheels for most platforms, eliminating the need for DPI configuration in typical installations.
The package handles core database operations including connection management, SQL execution, parameter binding, and result fetching. It supports advanced features like stored procedure calls, large object handling (BLOB/CLOB), and output parameters. Recent versions have added support for boolean types, IPv6 connections, multi-tenant connections, and improved handling of special characters in passwords and bulk data operations.
Use it for
- Connect Python applications to Dameng databases for OLTP or reporting workloads using standard DB API patterns
- Build data pipelines that extract, transform, and load data from Dameng into Python data science workflows
- Integrate Dameng as a backend for Django or SQLAlchemy-based web applications via dialect packages
- Execute parameterized queries and stored procedures from Python with proper escaping and type handling
- Manage large result sets and binary data (BLOB/CLOB) retrieval from Dameng tables
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
dmPython is actively maintained, has no known vulnerabilities, installs cleanly via wheels, and is the official driver for Dameng database access from Python. Install it if you need to connect Python applications to Dameng databases. Be aware that SSL encryption support depends on libssl 1.1+ being available or properly configured on your system.
Install
dmpython on PyPI
Before you install
Installation is straightforward via wheel packages with no runtime dependencies. The package is actively maintained with recent releases and supports multiple Python versions (3.7–3.14). Medium install friction reflects that source installations require DPI environment configuration, though wheel installs do not.
Source installations require DPI (Dameng DPI interface) environment configuration; wheel installations do not. SSL encryption module (libssl 1.1+) may need to be available or LD_LIBRARY_PATH configured to point to the bundled dmssl directory.
License in practice
Licensed under the Python Software Foundation License (permissive), allowing use in most projects without significant restrictions.
Quickstart
pip install dmPython
import dmPython
conn = dmPython.connect('SYSDBA/Dmsys_123@localhost:5236/sch1')
cursor = conn.cursor()
cursor.execute("SELECT * FROM DUAL;")
result = cursor.fetchall()Verify before relying
- Whether sqlalchemy and django dialect support (dmSQLAlchemy, dmDjango) are included or require separate installation
- Specific Python version minimum requirement (classifiers list Python 2 and 3 but requires_python is unspecified)
- Full scope of supported Dameng database versions and compatibility matrix
Package facts
| License | permissive license permissive |
| Python support | Not specified |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 28 days since the last release |
| First released | |
| Downloads | 387,161 / month, #7,045 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 6 - MatureIntended Audience :: DevelopersNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: CProgramming Language :: PythonProgramming Language :: Python :: 2Programming Language :: Python :: 3Topic :: Database |
Evidence: dmpython-2.5.38-cp310-cp310-manylinux2010_x86_64.manylinux_2_12_x86_64.whl; dmpython-2.5.38-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; dmpython-2.5.38-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; dmpython-2.5.38-cp310-cp310-win_amd64.whl; dmpython-2.5.38-cp311-cp311-manylinux2010_x86_64.manylinux_2_12_x86_64.whl; dmpython-2.5.38-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; dmpython-2.5.38-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; dmpython-2.5.38-cp311-cp311-win_amd64.whl; dmpython-2.5.38-cp312-cp312-manylinux2010_x86_64.manylinux_2_12_x86_64.whl; dmpython-2.5.38-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; dmpython-2.5.38-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; dmpython-2.5.38-cp312-cp312-win_amd64.whl; dmpython-2.5.38-cp313-cp313-manylinux2010_x86_64.manylinux_2_12_x86_64.whl; dmpython-2.5.38-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; dmpython-2.5.38-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; dmpython-2.5.38-cp313-cp313-win_amd64.whl; dmpython-2.5.38-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; dmpython-2.5.38-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; dmpython-2.5.38-cp314-cp314-win_amd64.whl; dmpython-2.5.38-cp37-cp37m-manylinux2010_x86_64.manylinux_2_12_x86_64.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “dameng database driver”
- dmpythondmPython is a native Python driver for connecting to Dameng…
- firebird-driverA Python Database API 2.0-compliant driver for Firebird 3+ that…
- fdbFDB is a Python Database API 2.0-compliant driver for connecting to…
Give your agent the search over MCP, or paste the wish link into any chat.
More Database packages
psycopg2-binary is a PostgreSQL database adapter for Python that implements the DB API 2.0 specification, enabling Python applications to connect to and query PostgreSQL databases with thread-safe concurrent operations.
Python client library for connecting to and executing commands against Redis key-value stores, supporting both synchronous and asynchronous operations.
Install it if your application needs to interact with Redis; the only prerequisite is a running Redis server instance.
YDB Python SDK is the official client library for connecting to and querying YDB databases from Python applications.
Install it if you need to connect Python applications to YDB databases.
Connects Python applications to Snowflake data warehouses using the DB API 2.0 specification, enabling SQL queries, data transfers, and warehouse operations.
sqlparse tokenizes SQL text into a tree of statements, clauses, and expressions, and provides functions to split scripts, format queries, and inspect parsed tokens without validating dialect or syntax.
Install it if you need to manipulate, format, or analyze SQL text programmatically.
Provides base adapter protocols and shared functionality that database adapters use to integrate with dbt-core, handling connections, dialect translation, relation caching, and core interface management.
See also pydynamodb · pyathenajdbc · JayDeBeApi · hdbcli · teradatasqlalchemy · sqlalchemy-firebird · sqlalchemy-pytds · intersystems-irispython · pyodps · PyMySQL