Databases (Core)

psycopg

The most popular PostgreSQL adapter for Python.

Status
Generally available
Last checked
Aging · Sep 2, 2026
License
Open source
Pricing
Free tier · from $0

What it is

Psycopg is a PostgreSQL database adapter for the Python programming language. It provides a robust and efficient way to interact with PostgreSQL databases, making it an essential tool for developers working with Python and PostgreSQL.

Psycopg stands out as the most widely used PostgreSQL adapter for Python, offering comprehensive support and efficient data handling capabilities.

When it fits — and when it doesn’t

A good fit for

  • Developers working on Python-based projects that require interaction with PostgreSQL databases.

  • Teams building web applications using Django or Flask frameworks who need a reliable PostgreSQL adapter.

  • Projects requiring efficient handling of large datasets and complex queries.

Look elsewhere if

  • Projects needing real-time database interactions where latency is critical.

  • Developers looking for a solution that supports multiple database systems out-of-the-box.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Steep learning curve for non-Python developers

    API requires Python-specific patterns, and the documentation assumes familiarity with Python's idioms.

  2. 02

    Frequent breaking changes between versions

    Major version updates from psycopg2 to psycopg3 introduced significant API changes that required substantial code refactoring.

  3. 03

    Limited support for non-Python environments

    Primary development focus is on Python, with limited or no official support for other languages like TypeScript or JavaScript.

  4. 04

    Performance can degrade under high concurrency

    Under heavy load and concurrent connections, psycopg may exhibit performance bottlenecks due to the Global Interpreter Lock (GIL) in CPython.

  5. 05

    Complex setup for advanced features

    Setting up advanced features like connection pooling or async support requires detailed configuration and understanding of underlying concepts.

What it does well

  • Comprehensive PostgreSQL support including advanced features like prepared statements and transactions.

  • Support for Python's async/await syntax with psycopg3.

  • Efficient handling of large data sets and binary data.

  • Compatibility with both Python 2 and Python 3 (for older versions).

  • Extensive documentation and community support.

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up psycopg

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →