ebird-dataset-data
eBird Dataset Data is a reusable Django app for loading data from the eBird Basic Dataset, v1.14, into a database.
Science Score: 44.0%
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✓CITATION.cff file
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✓codemeta.json file
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○DOI references
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○Scientific vocabulary similarity
Low similarity (13.2%) to scientific vocabulary
Repository
eBird Dataset Data is a reusable Django app for loading data from the eBird Basic Dataset, v1.14, into a database.
Basic Info
- Host: GitHub
- Owner: ebirders
- License: mit
- Language: Python
- Default Branch: master
- Size: 310 KB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
eBird Dataset Data
eBird Dataset Data is a reusable Django app for loading data from the eBird Basic Dataset, v1.14, into a database.
Overview
The Cornell Laboratory of Ornithology in Ithaca, New York runs the eBird database which collects observations of birds from all over the world, and publishes them on (eBird.org)[https://ebird.org]. The data is also available via the eBird Basic Dataset which is intended for for analysis and modelling. This project contains a loader and models to take data from a download (CSV) file and load it into a database. From there you can analyse the data with python, jupyter notebooks, or build a web site.
To get started, you will need to sign up for an eBird account, then request access, which usually takes 7 days to be reviewed and approved.
Install
You can use either pip or uv to download the package from PyPI and install it into a virtualenv:
shell
pip install ebird-dataset-data
or:
shell
uv add ebird-dataset-data
Update INSTALLED_APPS in your Django setting:
python
INSTALLED_APPS = [
...
ebird.dataset.data
]
Finally, run the migrations to create the tables:
python
python manage.py migrate
Demo
If you check out the code from the repository there is a fully functioning Django site. It contains pages for checklists, observations and species, where you can browse the records or search by location, observer. date. etc. The Django Admin lets you browse and edit the records in the database.
shell
git clone git@github.com:StuartMacKay/ebird-dataset-data.git
cd ebird-api-data
Create the virtual environment:
shell
uv venv
Activate it:
shell
source .venv/bin/activate
Install the requirements:
shell
uv sync
Run the database migrations:
shell
python manage.py migrate
Create a user:
shell
python manage.py createsuperuser
Run the demo:
shell
python manage.py runserver
Now, either visit the site, http:localhost:8000/, or log into the Django Admin, http:localhost:8000/admin to browse the tables.
Project Information
- Documentation: https://ebird-dataset-data.readthedocs.io/en/latest/
- Issues: https://todo.sr.ht/~smackay/ebird-dataset-data
- Repository: https://git.sr.ht/~smackay/ebird-dataset-data
- Announcements: https://lists.sr.ht/~smackay/ebirders-announce
- Discussions: https://lists.sr.ht/~smackay/ebirders-discuss
- Development: https://lists.sr.ht/~smackay/ebirders-develop
The repository is also mirrored on Github:
- Repository: https://github.com/StuartMacKay/ebird-dataset-data
The app is tested on Python 3.10+, and officially supports Django 4.2 LTS, 5.0, 5.1, and 5.2 LTS.
License
eBird Dataset Data is released under the terms of the MIT license.
Owner
- Name: eBirders
- Login: ebirders
- Kind: organization
- Repositories: 1
- Profile: https://github.com/ebirders
Python libraries, Jupyer Notebooks and Django apps and sites for working with data from eBird.org
Citation (CITATION.cff)
abstract:
eBird Dataset Data is a reusable Django app for loading data from eBird
Basic Dataset into a database.
authors:
- name: Stuart MacKay
cff-version: 1.2.0
date-released: 2025-07-26
keywords:
- Django
- eBird
- eBird Basic Dataset
- EBD
- models
- Data Science
- Analysis
license: MIT License
message: If you use this software, please cite it using the metadata from this file.
repository-code: "https://github.com/StuartMacKay/ebird-dataset-data"
title: eBird Dataset Data
version: 0.2.0
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Dependencies
- django >=4.2
- accessible-pygments 0.0.5
- alabaster 1.0.0
- annotated-types 0.7.0
- anyio 4.9.0
- asgiref 3.9.1
- asttokens 3.0.0
- babel 2.17.0
- beautifulsoup4 4.13.4
- bracex 2.6
- bump-my-version 1.2.1
- cachetools 6.1.0
- certifi 2025.7.14
- cfgv 3.4.0
- chardet 5.2.0
- charset-normalizer 3.4.2
- click 8.2.1
- colorama 0.4.6
- decorator 5.2.1
- distlib 0.4.0
- django 5.2.4
- django-environ 0.12.0
- django-extensions 4.1
- docutils 0.21.2
- ebird-dataset-data 0.2.0
- executing 2.2.0
- factory-boy 3.3.3
- faker 37.4.2
- filelock 3.18.0
- furo 2025.7.19
- h11 0.16.0
- httpcore 1.0.9
- httpx 0.28.1
- identify 2.6.12
- idna 3.10
- imagesize 1.4.1
- iniconfig 2.1.0
- ipython 9.4.0
- ipython-pygments-lexers 1.1.1
- jedi 0.19.2
- jinja2 3.1.6
- markdown-it-py 3.0.0
- markupsafe 3.0.2
- matplotlib-inline 0.1.7
- mdurl 0.1.2
- nodeenv 1.9.1
- packaging 25.0
- parso 0.8.4
- pexpect 4.9.0
- platformdirs 4.3.8
- pluggy 1.6.0
- pre-commit 4.2.0
- prompt-toolkit 3.0.51
- psycopg2-binary 2.9.10
- ptyprocess 0.7.0
- pure-eval 0.2.3
- pydantic 2.11.7
- pydantic-core 2.33.2
- pydantic-settings 2.10.1
- pygments 2.19.2
- pygraphviz 1.14
- pyproject-api 1.9.1
- pytest 8.4.1
- pytest-django 4.11.1
- python-dotenv 1.1.1
- pyyaml 6.0.2
- questionary 2.1.0
- requests 2.32.4
- rich 14.1.0
- rich-click 1.8.9
- roman-numerals-py 3.1.0
- ruff 0.12.5
- sniffio 1.3.1
- snowballstemmer 3.0.1
- soupsieve 2.7
- sphinx 8.2.3
- sphinx-basic-ng 1.0.0b2
- sphinxcontrib-applehelp 2.0.0
- sphinxcontrib-devhelp 2.0.0
- sphinxcontrib-htmlhelp 2.1.0
- sphinxcontrib-jsmath 1.0.1
- sphinxcontrib-qthelp 2.0.0
- sphinxcontrib-serializinghtml 2.0.0
- sqlparse 0.5.3
- stack-data 0.6.3
- tomlkit 0.13.3
- tox 4.28.3
- tox-uv 1.26.2
- traitlets 5.14.3
- typing-extensions 4.14.1
- typing-inspection 0.4.1
- tzdata 2025.2
- urllib3 2.5.0
- uv 0.8.3
- virtualenv 20.32.0
- wcmatch 10.1
- wcwidth 0.2.13