polaris-data 0.4.0

Python SDK for the Polaris market data API

polaris-py

Python SDK for the Polaris API, optimized for notebook workflows and trading scripts. Documentation can be found at https://polaris.supply/docs

Install (uv)

uv sync --group dev

Useful commands:

uv run python
uv lock

Quickstart

from polaris_data import PolarisClient

with PolarisClient(api_key="polaris_key_your_key") as client:
    row_count = 0
    for row in client.replay(
        exchange="binance",
        asset="BTC-USDT",
        from_="2024-01-01T00:00:00Z",
        to="2024-01-01T01:00:00Z",
    ):
        row_count += 1

    print(f"Replayed {row_count} rows")

If api_key is omitted, the client reads POLARIS_API_KEY from the environment.

Supported input time types

Methods that take from_ and to accept:

• ISO 8601 strings ("2024-01-01T00:00:00Z")
• datetime.datetime
• datetime.date
• Unix epoch microseconds (int/float)

Methods

Open endpoints:

• health()
• catalog(exchange=None, asset=None)

Authenticated endpoints:

• replay(exchange=..., asset=..., from_=..., to=..., standard=True) (iterator over /events or /raw)
• trades(exchange=..., asset=..., from_=..., to=..., limit=1000) (collects all pages)
• events(exchange=..., asset=..., from_=..., to=..., limit=1000) (collects all pages)
• raw(exchange=..., asset=..., from_=..., to=..., limit=1000) (collects all pages)
• ohlcv(exchange=..., asset=..., from_=..., to=..., interval=..., format=None)

For event/data endpoints, standard=True is the default. Pass standard=False when you explicitly need raw schema payloads.

Dataset replay (recommended)

For row-by-row iteration without managing file paths, use replay(...):

from polaris_data import PolarisClient

with PolarisClient(api_key="polaris_key_your_key") as client:
    for row in client.replay(
        exchange="binance",
        asset="BTC-USDT",
        from_="2024-01-01T00:00:00Z",
        to="2024-01-01T01:00:00Z",
    ):
        print(row)

replay(...) checks the local replay cache first, then fetches paginated rows and caches them as NDJSON if needed. Replay cache is enabled by default and stored under:

• macOS: ~/Library/Caches/polaris/datasets/replay
• Linux: ~/.cache/polaris/datasets/replay
• Windows: %LOCALAPPDATA%\\polaris\\datasets\\replay

Set POLARIS_DATASET_DOWNLOAD_DIR to override the base directory globally. Use replay_cache_enabled=False to disable caching, or replay_cache_dir=... to set a custom path.

Error handling

from polaris_data import PolarisClient, RateLimitedError, UnauthorizedError

client = PolarisClient()

try:
    client.replay(
        exchange="binance",
        asset="BTC-USDT",
        from_="2024-01-01T00:00:00Z",
        to="2024-01-01T01:00:00Z",
    )
except UnauthorizedError:
    print("API key is required")
except RateLimitedError as err:
    print(f"Rate limited. Reset at: {err.reset_at}")

Tests

uv run pytest