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Lake Api

Python API for accessing Lake high frequency tick trades & order book data

Install / Use

npx skills add crypto-lake/lake-api

Installs into whichever agent you are using.

README

======== Lake API

.. image:: https://img.shields.io/pypi/v/lakeapi.svg :target: https://pypi.python.org/pypi/lakeapi :alt: Pypi package status

.. image:: https://readthedocs.org/projects/lake-api/badge/?version=latest :target: https://lake-api.readthedocs.io/en/latest/?version=latest :alt: Documentation status

.. image:: https://github.com/crypto-lake/lake-api/actions/workflows/dev.yml/badge.svg :target: https://github.com/crypto-lake/lake-api/actions/workflows/dev.yml :alt: Build status

API for accessing Lake crypto market data.

Lake is a service providing historical cryptocurrency market data <https://crypto-lake.com/>_ in high detail, including order book data <https://crypto-lake.com/order-book-data/>_, tick trades and 1m trade candles. It is tuned for convenient quant and machine-learning purposes and so offers high performance, caching and parallelization.

  • Web: https://crypto-lake.com/
  • Documentation: https://lake-api.readthedocs.io.
  • Online example -- executable collab notebook: https://colab.research.google.com/drive/1E7MSUT8xqYTMVLiq_rMBLNcZmI_KusK3

Usage

If you don't have a paid plan with AWS credentials, you can access sample data:

.. code-block:: python

import lakeapi

lakeapi.use_sample_data(anonymous_access = True)

df = lakeapi.load_data(
    table="book",
    start=None,
    end=None,
    symbols=["BTC-USDT"],
    exchanges=["BINANCE"],
)

With paid access, you can query any data:

.. code-block:: python

import lakeapi

# Downloads SOL-USDT depth snapshots for last 2 days from Kucoin exchange
df = lakeapi.load_data(
    table="trades",
    start=datetime.datetime.now() - datetime.timedelta(days=2),
    end=None,
    symbols=["SOL-USDT"],
    exchanges=["KUCOIN"],
)

We recommend putting .lake_cache directory into .gitignore, because Lake API stores cache into this directory in the working directory.

Related Skills

View on GitHub
GitHub Stars76
CategoryDevelopment
Updated3d ago
Forks10

Languages

Python

Security Score

100/100

Audited on Aug 5, 2026

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