tinyercot 0.2.2

Tiny fully-typed ERCOT API

tinyercot

Fully-typed Python client for the ERCOT Public API.

Why tiny? The entire hand-written codebase is ~420 lines. Everything else is auto-generated from ERCOT's OpenAPI spec.

Install

uv add tinyercot

Setup

export ERCOT_USERNAME="your-username"
export ERCOT_PASSWORD="your-password"
export ERCOT_SUBSCRIPTION_KEY="your-subscription-key"

Usage

Single Page

from datetime import date
import tinyercot

# Returns typed response with .data, .meta, .links
response = tinyercot.np4_190_cd.dam_stlmnt_pnt_prices(
    deliveryDateFrom=date(2025, 12, 29),
    settlementPoint="HB_HOUSTON",
)

# Convert to pandas DataFrame
df = response.to_df()

Pagination (Sync)

# Iterator - yields typed rows from all pages
for row in tinyercot.np4_190_cd.dam_stlmnt_pnt_prices_iter(
    deliveryDateFrom=date(2025, 12, 29),
):
    print(row.settlementPoint, row.settlementPointPrice)

# DataFrame - fetches all pages, returns single DataFrame
df = tinyercot.np4_190_cd.dam_stlmnt_pnt_prices_df(
    deliveryDateFrom=date(2025, 12, 29),
)

Pagination (Async + Rate Limited)

Async methods automatically rate-limit to 20 req/min with retry on 429:

import asyncio
import tinyercot

async def main():
    # Async iterator - rate-limited, non-blocking
    async for row in tinyercot.np4_190_cd.dam_stlmnt_pnt_prices_iter_async(
        deliveryDateFrom=date(2025, 12, 29),
    ):
        print(row.settlementPoint, row.settlementPointPrice)

    # Async DataFrame - rate-limited, non-blocking
    df = await tinyercot.np4_190_cd.dam_stlmnt_pnt_prices_df_async(
        deliveryDateFrom=date(2025, 12, 29),
    )

asyncio.run(main())

API Pattern

Every endpoint generates 5 methods:

Method	Returns	Use Case
endpoint()	Response	Single page
endpoint_iter()	Iterator[Row]	Stream all pages (sync)
endpoint_df()	DataFrame	All pages as DataFrame (sync)
endpoint_iter_async()	AsyncIterator[Row]	Stream all pages (async, rate-limited)
endpoint_df_async()	DataFrame	All pages as DataFrame (async, rate-limited)

Development

Create a .env file with your credentials, then run IPython with dev deps:

uv run --env-file .env --group dev -- ipython

Regenerate

uv run python tools/generate_client.py

With fresh response field data (requires credentials):

uv run --env-file .env python tools/generate_client.py --refresh