https://github.com/ocha-dap/hdx-python-utilities

A range of helpful utilities for Python developers including streaming tabular data, date parsing, JSON and YAML handling, dictionary and list utilities
https://github.com/ocha-dap/hdx-python-utilities

datetime hdx json logging stream-processing tabular-data utilities yaml

Last synced: 5 days ago
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A range of helpful utilities for Python developers including streaming tabular data, date parsing, JSON and YAML handling, dictionary and list utilities

• Host: GitHub
• URL: https://github.com/ocha-dap/hdx-python-utilities
• Owner: OCHA-DAP
• License: mit
• Created: 2017-10-10T14:47:02.000Z (over 8 years ago)
• Default Branch: main
• Last Pushed: 2025-03-19T03:47:06.000Z (10 months ago)
• Last Synced: 2025-04-11T23:52:43.749Z (10 months ago)
• Topics: datetime, hdx, json, logging, stream-processing, tabular-data, utilities, yaml
• Language: Python
• Homepage: https://hdx-python-utilities.readthedocs.io/en/latest/
• Size: 1.42 MB
• Stars: 10
• Watchers: 17
• Forks: 6
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

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The HDX Python Utilities Library provides a range of helpful utilities for Python developers.

Note that these are not specific to HDX.

1. Easy downloading of files with support for authentication, streaming and hashing

1. Retrieval of data from url with saving to file or from data previously saved

1. Date utilities

1. Loading and saving JSON and YAML (maintaining order)

1. Loading and saving HXLated csv and/or JSON

1. Dictionary and list utilities

1. HTML utilities (inc. BeautifulSoup helper)

1. Compare files (eg. for testing)

1. Simple emailing

1. Easy logging setup and error logging

1. State utility

1. Path utilities

1. Text processing

1. Stable file hashing

1. Matching utilities

1. Encoding utilities

1. Check valid UUID

1. Easy building and packaging

For more information, please read the [documentation](https://hdx-python-utilities.readthedocs.io/en/latest/).

This library is part of the [Humanitarian Data Exchange](https://data.humdata.org/) (HDX) project. If you have

humanitarian related data, please upload your datasets to HDX.