sdmx: Statistical data and metadata exchange
|pypi| |rtd| |services| |gha| |codecov|
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Source code @ Github <https://github.com/khaeru/sdmx/>
_ —
Authors <https://github.com/khaeru/sdmx/graphs/contributors>
_
sdmx
(‘sdmx1’ on PyPI <https://pypi.org/project/sdmx1>
) is a Python implementation of the SDMX <http://www.sdmx.org>
2.1 (ISO 17369:2013 <https://www.iso.org/standard/52500.html>
_) and 3.0 standards for statistical data and metadata exchange.
The SDMX standards are developed and used by national statistical agencies, central banks, and international organisations.
sdmx
can be used to:
- Explore and retrieve data available from SDMX-REST
web services <https://sdmx1.rtfd.io/en/latest/sources.html>
_ operated by providers including the World Bank, International Monetary Fund, Eurostat, OECD, and United Nations; - Read and write data and metadata in file formats including SDMX-ML (XML), SDMX-JSON, and SDMX-CSV;
- Convert data and metadata into
pandas <https://pandas.pydata.org>
_ objects, for use with the analysis, plotting, and other tools in the Python data science ecosystem; - Apply the
SDMX information model <https://sdmx1.rtfd.io/en/latest/api.rst#api-model>
_ to structure and publish your own data;
…and much more.
Documentation
See https://sdmx1.readthedocs.io/en/latest/ for the latest docs per the main
branch, or https://sdmx1.readthedocs.io/en/stable/ for the most recent release.
License
Copyright 2014–2024, sdmx1 developers <https://github.com/khaeru/sdmx/graphs/contributors>
_
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.
History
sdmx
is a fork of pandaSDMX_; in turn a fork of pysdmx_.
Many people from all over the world have generously contributed code and feedback.
.. _pandaSDMX: https://github.com/dr-leo/pandaSDMX
.. _pysdmx: https://github.com/widukind/pysdmx