hdx-python-database


Namehdx-python-database JSON
Version 1.3.7 PyPI version JSON
download
home_pageNone
SummaryHDX Python database utilities
upload_time2025-07-24 01:35:49
maintainerNone
docs_urlNone
authorNone
requires_python>=3.10
licenseMIT
keywords hdx database postgresql
VCS
bugtrack_url
requirements astdoc babel backrefs bcrypt certifi cffi cfgv charset-normalizer click colorama coverage cryptography distlib filelock ghp-import greenlet identify idna iniconfig jinja2 markdown markupsafe mergedeep mkapi mkdocs mkdocs-get-deps mkdocs-material mkdocs-material-extensions nodeenv packaging paginate paramiko pathspec platformdirs pluggy pre-commit psycopg psycopg-binary pycparser pygments pymdown-extensions pynacl pytest pytest-cov python-dateutil pyyaml pyyaml-env-tag requests six sqlalchemy sshtunnel typing-extensions urllib3 virtualenv watchdog
Travis-CI No Travis.
coveralls test coverage
            [![Build Status](https://github.com/OCHA-DAP/hdx-python-database/actions/workflows/run-python-tests.yaml/badge.svg)](https://github.com/OCHA-DAP/hdx-python-database/actions/workflows/run-python-tests.yaml)
[![Coverage Status](https://coveralls.io/repos/github/OCHA-DAP/hdx-python-database/badge.svg?branch=main&ts=1)](https://coveralls.io/github/OCHA-DAP/hdx-python-database?branch=main)
[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)
[![Downloads](https://img.shields.io/pypi/dm/hdx-python-database.svg)](https://pypistats.org/packages/hdx-python-database)

The HDX Python Database Library provides utilities for connecting to databases in a standard way including
through an ssh tunnel if needed. It is built on top of SQLAlchemy and simplifies its setup.

For more information, please read the [documentation](https://hdx-python-database.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.

            

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