---

✨ Feature Highlights

Capability	Details
yfinance-like ergonomics	Single download() entry point covering period, interval, metrics, group_by, threads, progress, and more.
Metric alias registry	Built-in aliases for price, ohlc, marketcap, etc., plus the ability to mix in custom endpoint mappings.
Request resilience	Injects API keys automatically, supports proxy-aware requests.Session, and retries with exponential backoff on 429/50x responses.
Pandas-native output	DateTime index + MultiIndex columns flow directly into NumPy, pandas, polars, or backtesting engines.
Visualization ready	Bundled Plotly script launches a TradingView-style ETH/SOL dashboard with one command.

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📦 Installation

pip install glassnode-python           # install from PyPI (v0.3.2+)
pip install -e .[test]                 # developer setup
pip install -e .[viz]                  # Plotly dashboard extras

If you prefer a local checkout, run pip install . from the repo root.

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⚡ Quickstart (30 seconds)

from glassnode_python import download
from dotenv import load_dotenv
import os

load_dotenv()
api_key = os.environ["GLASSNODE_API_KEY"]

btc = download("BTC", period="3mo", metrics=["price"], api_key=api_key)
print(btc.tail())

The helper returns a pandas dataframe with a DateTime index and a column MultiIndex of (Attribute, Ticker) by default.

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🧰 Essential Recipes

Multi-asset OHLC (yfinance style)

rich = download(
	["BTC", "ETH", "SOL"],
	period="1y",
	interval="24h",
	metrics=["ohlc"],
	group_by="ticker",   # switch to (Ticker, Attribute)
	threads=True,
	api_key=api_key,
)

Mix & match metrics

matrix = download(
	"BTC",
	metrics=["price", "marketcap", "mvrv"],
	period="6mo",
	rounding=2,
	dropna=True,
	api_key=api_key,
)

Custom endpoint mapping

download(
	"ETH",
	metrics={
		"sopr": {"endpoint": "/v1/metrics/market/sopr"},
		"ohlc": None,  # reuse built-in alias, columns become ohlc_open/high/low/close
		"fees": {
			"endpoint": "/v1/metrics/transactions/transfers_volume_sum",
			"column": "TransferVolume",
		},
	},
	api_key=api_key,
)

Column naming

• OHLC metrics expose lowercase open/high/low/close columns.
• All other metrics are renamed to the lowercase version of their alias (e.g. price, myfees).

Full-control client

from glassnode_python import GlassnodeClient
import requests

session = requests.Session()
session.headers.update({"User-Agent": "glassnode-python/0.2"})

client = GlassnodeClient(
	api_key=api_key,
	session=session,
	proxies={"https": "http://127.0.0.1:7890"},
	max_retries=5,
	retry_backoff=1.5,
)

df = client.download(
	["BTC", "SOL"],
	start="2025-01-01",
	end="2025-12-31",
	metrics=["price", "volume"],
	progress=False,
)

---

📊 Metric Alias Catalog

Alias	Endpoint	Columns
ohlc	/v1/metrics/market/price_usd_ohlc	open, high, low, close
price	/v1/metrics/market/price_usd_close	price
marketcap	/v1/metrics/market/marketcap_usd	marketcap
volume	/v1/metrics/market/spot_volume_daily_sum	volume
mvrv	/v1/metrics/market/mvrv	mvrv
realizedcap	/v1/metrics/market/realizedcap_usd	realizedcap

Aliases respect group_by, rounding, and fill methods so the dataframe layout stays predictable.

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📺 TradingView-like Dashboard

pip install -e .[viz]
python scripts/eth_sol_tradingview.py

• Fetches one year of daily OHLC candles for ETH and SOL (sequential mode to stay within rate limits).
• Adds ema20/ema50 overlays plus Plotly dark theme, linked hover, and full zoom/pan controls.
• Customize via the EMA_WINDOWS constant or export HTML with fig.write_html().

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🔐 API Keys & Environment

echo "GLASSNODE_API_KEY=your-secret" >> .env

• If api_key is omitted, the module lazily loads .env on first use.
• Pass api_key= for one-off calls or client= to reuse a configured GlassnodeClient.

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🧪 Testing & Release Flow

pip install -e .[test]
pytest

python -m build
twine upload dist/*

Update __version__ inside src/glassnode_python/__init__.py and the project.version in pyproject.toml before cutting a release.

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📄 License

GNU GPLv3 — see LICENSE.