pypsql 1.0.5

Functionality to connect and interact with PostgreSQL servers

pypSQL

pypsql is a lightweight framework for connecting to PostgreSQL databases, whether locally or remotely hosted. It builds on top of SQLAlchemy to provide a simple, Pythonic interface for establishing connections, running queries, and managing database sessions.

Contributors

Marius Liebald (maintainer)

Installation

pip install pypsql

Usage

Local Usage

Provide database credentials

You can store the database connection details in a file, for example .env:

SERVER=<host name or address>   # e.g., localhost, 127.0.0.1, or a public IP
PORT=<port number>              # default: 5432
NAME_DATABASE=<database name>   # e.g., my_db
NAME_USER=<role>                # e.g., Alice
PASSWORD_USER=<password>        # e.g., 123abc

You may place this file anywhere on the client machine. Importantly, this step is optional. You can also provide the variables interactively via terminal prompts.

When to be used?

Use this approach if an SSH tunnel is not needed. This is the case if:

• the server and client run on the same machine,
• the server and client are in the same (virtual) network, or
• the server is accessible via its public IP.

Connecting

In this case, simply run the Python script:

import pypsql
from pathlib import Path

sql_script = """
SELECT *
FROM customers
"""

# local connection
conn = pypsql.DatabaseConnector(
    db_credential_file='.env_local'
)

df = conn.get_data(sql_script)
print(df)

Usage via an SSH Tunnel

Provide database & SSH credentials

Again, create an .env file. You may want to store it in the same directory as the Python script that accesses the database when executed. This time the .env needs to follow this structure:

SERVER=<host name or address>              # e.g., localhost, 127.0.0.1
PORT=<port number>                         # default: 5432
NAME_DATABASE=<database name>              # e.g., my_db
NAME_USER=<role>                           # e.g., Alice
PASSWORD_USER=<password>                   # e.g., 123abc
SSH_USERNAME=<public IP of remote server>
SSH_PKEY=<path of private SSH key>         # e.g., ~/.ssh/id_rsa
SSH_PORT=<ssh port of remote server>       # default: 22

Connecting

Then you can connect to the database via the SSH tunnel in the following way:

from pypsql import SSHDatabaseConnector
from pathlib import Path

sql_script = """
SELECT *
FROM customers
"""

with SSHDatabaseConnector(
  ssh_port = 22,
  db_credential_file='.env_ssh'
) as ssh_db:    
  df = ssh_db.get_data(sql_script)
  print(df)

Official Documentation

The documentation is hosted under https://www.marius-liebald.com/pypsql/index.html

License

The package is distributed under the MIT license.

References

Bayer, Michael, and contributors. 2025. SQLAlchemy. https://www.sqlalchemy.org/.