Python client library for the Databento API

Last update: Dec 24, 2022

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Overview

Databento Python Library

The Databento Python client library provides access to the Databento API for both live and historical data, from applications written in the Python language.

Documentation

The best place to start is with the Getting started guide. See the Python API docs for further details.

Requirements

The library is fully compatible with the latest distribution of Anaconda 3.6 and above. The minimum dependencies as found in the requirements.txt are also listed below:

Python 3.6+
aiohttp>=3.6.2
numpy>=1.18.5
pandas>=1.0.5
requests>=2.24.0
zstandard>=0.16.0

Installation

To install the latest stable version of the package from PyPI:

pip install -U databento

API access setup

You need an access key to request for data through Databento. Sign up and you will be automatically assigned your first pair of default access keys. Each access key is a 32 character string that can be found from the web platform.

One of your default keys is a test key. Test keys have the prefix db-test- and let you access our test environment, which provides free, simulated data for validating your integration. All of our services can be tested with test keys.

Your other default key is a production key. Production keys have the prefix db-prod- and are used to access real data. When you sign up, you are also automatically enrolled in our Free Tier, which lets you try some real data for free.

License

The databento library is offered under the MIT License.

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Python client library for the Databento API

Related tags

Overview

Databento Python Library

Documentation

Requirements

Installation

API access setup

License

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Releases(v0.6.0)

v0.6.0(Dec 2, 2022)

v0.5.0(Nov 8, 2022)

v0.4.0(Sep 14, 2022)

v0.3.0(Aug 30, 2022)

v0.2.1(Aug 30, 2022)

Owner

Databento, Inc.

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