Devart Python Connector for PostgreSQL
DB-API connector for PostgreSQL
Publisher
DevartSubcategories
Average rating
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5 / 5
About this software
Python Connector for PostgreSQL is a DB-API 2.0 compliant driver that lets Python applications connect directly to PostgreSQL servers. It supports direct TCP/IP connections without client libraries, encrypted communications (SSL/TLS, SSH, HTTP/HTTPS tunneling), and distribution as wheel packages for Windows, macOS, and Linux. Compatible with Python 3.7–3.13, PostgreSQL 8.0–17, and cloud-managed Postgres services, it also integrates with SQLAlchemy and pandas for application workflows.
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Devart Python Connector for PostgreSQL
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Benefits
- DB API 2.0 compliant: Implements Python DB API 2.0 for standard database access patterns.
- Direct connection support: Connects directly via TCP/IP without requiring PostgreSQL client libraries.
- Secure communication options: Supports SSL/TLS, SSH tunneling, and HTTP/HTTPS tunneling for encrypted traffic.
- Cross-platform distribution: Distributed as wheel packages for Windows, macOS, and Linux platforms.
- Data type and Unicode support: Maps PostgreSQL types to Python types and handles Unicode reliably.
Available languages
- English
Support information
- Documentation and guides: Online API reference, installation instructions, and usage guides are available on Devart's documentation site.
- PyPI package: A pip-installable package named devart-postgresql-connector is published on PyPI.
- Community forum: A Python Connectors forum on Devart's site supports user discussions and questions.
- Support requests: Users can submit support requests via the Devart website support channels.
- Release notes: What's New and changelog pages list recent feature additions and fixes.
Frequently asked questions
How is the connector installed?
Install via pip with pip install devart-postgresql-connector or by installing provided wheel packages.
Which Python versions are supported?
Supports Python 3.7 through 3.13 according to Devart documentation.
Which PostgreSQL versions and services are supported?
Supports PostgreSQL server versions 8.0–17 and managed services like Azure, RDS, Aurora, Google Cloud, Heroku, and AlloyDB.
Does it integrate with SQLAlchemy and pandas?
Yes; the connector is compatible with SQLAlchemy and pandas for use in data workflows.
How are connections secured?
Use SSL/TLS, SSH tunneling, or HTTP/HTTPS tunneling as supported by the connector.