Heimdall

A host-agnostic data-provider SDK. Finance data first (Yahoo Finance OHLCV, FRED economic series), built so that any data source - yours or the community's - can plug in behind one small contract.

A provider takes a FetchRequest and returns a FetchResult: a Polars frame, a SchemaSpec that describes and validates it, and some metadata. That's the whole surface. Nothing in the core is finance-specific; OHLCV bars and economic observations are just two predefined schemas.

Install

pip install heimdall-mimird[fred,yfinance,sp500]   # or: heimdall-mimird[all]

The core depends only on polars (plus a small logging shim). Each provider pulls its own client library through an extra, so you install only what you use.

Quick start

import heimdall

# string shorthand -> FetchRequest(resource="DGS10")
result = heimdall.fetch("fred", "DGS10")
result.schema.validate(result.frame)  # raises SchemaError if it doesn't conform
print(result.frame.head())

bars = heimdall.fetch("yfinance", "AAPL", interval="1d")
print(bars.frame.tail())
print(bars.metadata)  # {"ticker": "AAPL", "interval": "1d", "rows": ...}

sp500 = heimdall.fetch("sp500", "constituents")
print(sp500.frame.select("symbol", "security", "gics_sector").head())

heimdall.list_providers() shows what's registered. Providers are registered automatically when their extra is installed; register your own with heimdall.register(MyProvider).

Writing a provider

Subclass heimdall.Provider, set id + capabilities, implement fetch. See docs/writing-a-provider.md for a full worked example, and run heimdall.testing.assert_provider_conformance(...) to check it against the contract.

Status

Early. The provider contract and the two bundled providers are usable today. The ingestion/storage layer, entry-point plugin discovery, and retry/rate-limit middleware are on the roadmap.