Skip to main content

Statistical Data and Metadata eXchange (SDMX) for the Python data ecosystem

Project description

Github actions CI status Codecov status Documentation Status PyPI conda-forge

Source code @ GithubAuthors

pandaSDMX is an Apache 2.0-licensed Python package that implements SDMX 2.1 (ISO 17369:2013), a format for exchange of statistical data and metadata used by national statistical agencies, central banks, and international organisations.

pandaSDMX can be used to:

  • explore the data available from data providers such as the World Bank, ILO, BIS, ECB, Eurostat, OECD, UNICEF and United Nations;
  • parse data and metadata in SDMX-ML (XML) or SDMX-JSON formats—either:
    • from local and remote files, or
    • retrieved from pandasdmx web services, with query validation and caching;
  • convert data and metadata into pandas objects, for use with the analysis, plotting, and other tools in the Python data science ecosystem;
  • apply the SDMX Information Model to your own data;

…and much more.

License

Copyright 2014–2020, pandaSDMX developers

Licensed under the Apache License, Version 2.0 (the “License”); you may not use these files except in compliance with the License. You may obtain a copy of the License:

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

pandaSDMX contains code from SDMX1 which is itself a fork of pandaSDMX.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for pandaSDMX, version 1.5.0
Filename, size File type Python version Upload date Hashes
Filename, size pandaSDMX-1.5.0-py3-none-any.whl (77.8 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size pandaSDMX-1.5.0.tar.gz (66.9 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page