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.
1 Nov 30, 2021
73 Dec 26, 2022
3 Oct 19, 2022
1 Feb 16, 2022
1 Dec 8, 2021
139 Dec 30, 2022
10 Nov 19, 2022
595 Dec 5, 2022
7 Jul 6, 2021
1 Oct 20, 2021
3 Jan 10, 2022
131 Dec 17, 2022
4 Dec 15, 2022
1 Nov 24, 2021
8 Oct 22, 2022
834 Jan 04, 2023
2.6k Jan 01, 2023
2 Oct 16, 2021
13 Sep 07, 2022
1 Nov 06, 2021
4 Dec 03, 2021
2 Dec 11, 2021
5.1k Jan 07, 2023
3 Dec 14, 2022
0 Mar 16, 2022
5 Nov 08, 2021
3 Jan 15, 2022
1 Mar 22, 2022
15 Nov 19, 2022