Publisher
DevartSubcategories
Average rating
Deze score is berekend door AI op basis van publiek beschikbare informatie.
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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€331.26
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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
What is Devart Python Connector for PostgreSQL?
A Python library that enables applications to connect to PostgreSQL databases. It provides programmatic access to execute queries, manage transactions, and retrieve result sets for use in Python applications.
How does the connector integrate with Python applications?
It exposes connection and cursor objects compatible with common Python database APIs, allowing parameterized queries, result fetching, and standard transaction control within application code.
What authentication and encryption options are supported?
Supports standard PostgreSQL authentication methods and encrypted connections using SSL/TLS. Configuration typically uses connection parameters or connection strings to specify credentials and security options.
Does it support transactions and prepared statements?
Provides transaction management and supports prepared or parameterized statements to help ensure consistent updates and reduce risk of SQL injection when executing repeated queries.