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Polymo

Turn any REST API into a standalone pyspark connector script — no runtime, just generated code.

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Welcome to Polymo

Polymo turns a REST API into a standalone Lakeflow Declarative Pipelines script. Fill out the Builder UI form, preview real responses, and export — zero polymo runtime dependency, no config to load, nothing to import from polymo at all. The script only needs requests, the standard library, and pyspark.

The builder generates standalone scripts

For example, pointing the builder at https://jsonplaceholder.typicode.com/posts generates the following (elided below for brevity — the real file also includes retry/backoff and response-normalization helpers):

"""posts — generated by the polymo builder.

Standalone Lakeflow Declarative Pipelines source. polymo is NOT needed
at runtime; edit this file freely.
"""

BASE_URL: str = "https://jsonplaceholder.typicode.com"
PATH: str = "/posts"
PARAMS: dict[str, Any] = {"_limit": 20}

# … fetch/retry helpers elided …

# … inline Data Source (RestSource/_Reader) elided; the batch @dp.table
# below ingests through it, same as Lakeflow requires for the streaming
# variant …

spark.dataSource.register(RestSource)


@dp.table(name="posts")
def posts():
    return spark.read.format("posts_source").load()

See docs/superpowers/specs/2026-08-28-codegen-pivot-design.md for the full design behind this pivot.

Polymo Builder UI - connector preview screen

How does it work?

Open the Builder UI, describe your API (base URL, path, pagination, auth, schema — all optional except the URL and path), and preview it against the real API. When you're happy, switch to the Generated Code tab and download the script. Every field you fill in is baked into that script as a plain Python constant or a small block of generated code — there is nothing left to configure at runtime, and no polymo import anywhere in the output.

Ready to run it on Databricks? Switch to the Deploy tab instead: pick a CLI profile → catalog → schema, click Bootstrap to write a full Databricks Asset Bundle project (same generated code, laid out under src/), then Deploy and Run to drive databricks bundle deploy/run without leaving the Builder. Requires the Databricks CLI and a ~/.databrickscfg profile — see Deploy to Databricks for the full walkthrough, including how auth secrets can reference a Databricks secret scope instead of a placeholder.

See the Connector options reference for what every Builder field generates, and the Builder UI walkthrough for a guided tour of the form.

Migrating from polymo 0.x?

The YAML runtime (spark.read.format("polymo"), PolymoConfig, polymo smoke) is gone in 1.0. See docs/migration-1.0.md for what changed, and pin polymo<1.0 (0.11.0 is the last release with the old runtime) if you're not ready to move yet.

How to start?

pip install polymo

This installs everything you need, Builder UI included — FastAPI, Uvicorn, PySpark, PyArrow, and requests all come along, so there's nothing extra to opt into.

Note that polymo is never a dependency of the scripts it generates — nothing you export needs polymo installed to run.

Launch the builder UI

polymo

Or without installing it first:

uvx polymo

(Optional) Run the Builder in Docker

docker compose up --build builder

Where to Next

Read the docs here

Other material:

Contributing

It's still early days, but Polymo already supports a lot of features! Is there something missing? Raise an issue or contribute!

Contributions and early feedback welcome!


If Polymo helped, a ⭐ makes my day

Metadata

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