# Build with HDX

This section is designed to help you explore how HDX can be used in your own tools and workflows. Here you will find examples, testing guides, and explanations of the core technical concepts behind HDX. Whether you are building applications, running analysis, or connecting HDX datasets to your data pipelines, this space will guide you through the essentials.

*The material here is evolving and will expand over time as we refine it together with our users.*

### GitHub and technical links

Our GitHub organization can be found [here](https://github.com/OCHA-DAP). See popular repositories below:

1. [hdx-python-api](https://github.com/OCHA-DAP/hdx-python-api): Python library providing easy APIs to push and pull datasets from the HDX platform.
2. [hdx-ckan](https://github.com/OCHA-DAP/hdx-ckan): HDX‑CKAN custom configuration and extensions built on CKAN for the HDX platform.
3. [hdx-python-utilities](https://github.com/OCHA-DAP/hdx-python-utilities): Provides a range of helpful utilities for Python developers.&#x20;
4. [hdx-python-country](https://github.com/OCHA-DAP/hdx-python-country): Utilities to map between country and region codes and names and to match administrative level names from different sources.
5. [rhdx](https://gitlab.com/dickoa/rhdx): R package to interact with HDX.


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