seedbase 0.1.3

Generate realistic test data for your databases. Schema-aware, relationship-preserving, privacy-safe.

Seedbase

Generate realistic, relationship-preserving, privacy-safe test data for your databases — and pull it straight into your local or CI database.

Seedbase lives on seedba.se: you model (or import) a schema there, generate datasets, and use this package to pull them into Postgres, MySQL, SQLite and more. Schema-aware, foreign-key-correct, reproducible by seed.

Install

pip install seedbase

Zero dependencies — pure Python (3.10+).

CLI quickstart

seedbase login                 # opens the browser, stores a token
seedbase init                  # creates .seedbase.json (project + target DB)
seedbase generate --seed 42    # trigger a generation on the platform
seedbase pull all              # write schema + data into your target DB

The CLI is pull-oriented: schema and datasets live on the platform, you pull them into your database. Other commands: projects, generations, connections, pull schema|data|subset, mask, db-push, diff, export config, import config.

Python SDK

from seedbase import SeedbaseClient

client = SeedbaseClient(token="dr_sk_...")          # or from ~/.seedbase/config.json
gen = client.generate(project_id, seed=42, wait=True)
data = client.download(gen["id"], fmt="sql")

pytest fixtures

Seedbase ships a pytest plugin, so a freshly seeded dataset is one fixture away:

def test_orders(seeded_data):
    assert seeded_data  # deterministic test data pulled from the platform

Configure via env (SEEDBASE_TOKEN, SEEDBASE_PROJECT, SEEDBASE_SEED) or pytest.ini.

Links

• Website: https://seedba.se
• Docs: https://seedba.se/docs
• API keys: https://seedba.se/settings?tab=api-keys

MIT licensed.