turbopg

name	turbopg
description	Use TurboPG for standalone Postgres queries. Use when writing database code outside of TurboAPI routes, running migrations, seeding data, or building scripts that talk to Postgres.

TurboPG — Standalone Postgres Client

TurboPG ships with TurboAPI and works independently for any Python Postgres work.

Quick start

from turbopg import Database

db = Database("postgres://user:pass@localhost/mydb", pool_size=16)

# Multiple rows
users = db.query("SELECT * FROM users WHERE age > $1 LIMIT $2", [18, 10])

# Single row (or None)
user = db.query_one("SELECT * FROM users WHERE id = $1", [42])

# Execute (INSERT/UPDATE/DELETE) — returns affected row count
db.execute("INSERT INTO users (name, email) VALUES ($1, $2)", ["Alice", "[e-mail]"])
affected = db.execute("DELETE FROM users WHERE id = $1", [99])

# Context manager
with Database("postgres://...") as db:
    count = db.query_one("SELECT count(*) as n FROM users")

Parameters

Use $1, $2, ... for parameterized queries (Postgres-native, SQL injection safe):

db.query("SELECT * FROM users WHERE name = $1 AND age > $2", ["Alice", 18])

Return types

• query() → list[dict] — each row as a dict with column names as keys
• query_one() → dict | None — first row or None
• execute() → int — number of affected rows
• Decimals → float, datetimes → ISO string, memoryview → decoded string

Connection modes

1. With TurboAPI installed: Uses Zig pg.zig connection pool (zero overhead for TurboAPI db routes)
2. Standalone: Falls back to psycopg2/psycopg (requires pip install psycopg2-binary)

Unix sockets

db = Database("postgres://user:pass@/var/run/postgresql/mydb")

With TurboAPI

TurboPG powers TurboAPI's db_get, db_post, db_list, db_delete, and db_query decorators. The Zig-native path runs the entire request cycle without Python.