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DBnomics Python Client

Project description

DBnomics Python client

Access DBnomics time series from Python.

This project relies on Python Pandas.


A tutorial is available as a Jupyter notebook.

Use with a proxy

This Python package uses requests, which is able to work with a proxy (HTTP/HTTPS, SOCKS). For more information, please check its documentation.


pip install dbnomics

See also:


To work on dbnomics-python-client source code:

git clone
cd dbnomics-python-client
pip install -r requirements.txt
pip install -r requirements-dev.txt
pip install -e .

If you plan to use a local Web API, running on the port 5000, you'll need to use the api_base_url parameter of the fetch_* functions, like this:

dataframe = fetch_series(

Or globally change the default API URL used by the dbnomics module, like this:

import dbnomics
dbnomics.default_api_base_url = "http://localhost:5000"

Open the demo notebook

Install jupyter if not already done, in a virtualenv:

pip install jupyter
jupyter notebook index.ipynb


Run tests:

# Only once
pip install -r requirements.txt
pip install -r requirements-test.txt
pip install -e .


# Specify an alterate API URL
API_URL=http://localhost:5000 pytest


To release a version on PyPI:

  • merge one or many feature branches into master (no need to do a release for every feature...)
  • update incrementing the package version (we use Semantic Versioning so determine if it's a major, minor or patch increment)
  • ensure the changelog is up to date
  • git commit -m "Release"
  • create a Git tag with a v before version number and push it (git tag v1.2.0; git push; git push --tags)
  • the CI will run a job to publish the package on PyPI at

It's advised to do pip install -e . to let your virtualenv know about the new version number.

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