ebird-dataset-explorer
A Django-based web site for browsing the eBIrd Basic Dataset
Science Score: 44.0%
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Low similarity (12.4%) to scientific vocabulary
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Repository
A Django-based web site for browsing the eBIrd Basic Dataset
Basic Info
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- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
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Metadata Files
README.md
eBird Dataset Explorer
eBird Dataset Explorer is a Django-based web site for browsing observations from the eBird Basic Dataset v1.16.
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 Django-based web site for browsing observations from the eBird Basic Data. This project uses the ebird-dataset-data which allows you to load the CSV based files published by eBird and load them into a database.
Getting Started
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.
Next, get a copy of the repository:
shell
git clone https://git.sr.ht/~smackay/ebird-dataset-explorer
cd ebird-dataset-explorer
Create the virtual environment:
shell
uv venv
Activate it:
shell
source .venv/bin/activate
Install the requirements:
shell
uv sync
Create a copy of the .env.example file and set the URL to access the database:
cp .env.example .env
For example:
shell
DATABASE_URL=postgres://dataset:passwordd@localhost:5432/dataset
The site is developed and tested with PostgreSQL.
Run the database migrations:
python manage.py migrate
Create an admin user:
python manage.py createsuperuser
There is a copy of the sample file from the eBird Basic Dataset in the /data/datasets/ directory. Use the load_dataset management command to load it into the database:
shell
python manage.py load_dataset data/datasets/ebd.csv
It's time to start the server:
python manage.py runserver
Finally, visit the home page to view the observations:
http://localhost:8000/
Project Information
- Issues: https://todo.sr.ht/~smackay/ebird-dataset-explorer
- Repository: https://git.sr.ht/~smackay/ebird-dataset-explorer
- 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-explorer
License
eBird Dataset Browser 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: A web site / workbench for analysing observations from the eBird Basic Dataset. authors: - name: Stuart MacKay cff-version: 1.2.0 date-released: 2025-07-17 keywords: - eBird - eBird Basic Dataset - Django - observations - checklists - species 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-explorer" title: eBird Reports version: 0.0.0
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Dependencies
- django >=5.1.3
- django-environ >=0.11.2
- gunicorn >=23.0.0
- python-json-logger >=2.0.7
- sentry-sdk >=2.18.0
- whitenoise [brotli]>=6.8.2
- annotated-types 0.7.0
- anyio 4.9.0
- asgiref 3.9.1
- asttokens 3.0.0
- bracex 2.6
- brotli 1.1.0
- bump-my-version 1.2.0
- certifi 2025.7.14
- cfgv 3.4.0
- click 8.2.1
- colorama 0.4.6
- decorator 5.2.1
- distlib 0.3.9
- django 5.2.4
- django-autocomplete-light 3.12.1
- django-ckeditor 6.7.3
- django-debug-toolbar 5.2.0
- django-environ 0.12.0
- django-extensions 4.1
- django-js-asset 3.1.2
- django-spaceless-templates 1.0.2
- ebird-codes 0.0.2
- ebird-dataset-data 0.2.0
- ebird-dataset-explorer 2025.7.15
- executing 2.2.0
- filelock 3.18.0
- gunicorn 23.0.0
- h11 0.16.0
- httpcore 1.0.9
- httpx 0.28.1
- identify 2.6.12
- idna 3.10
- iniconfig 2.1.0
- ipython 9.4.0
- ipython-pygments-lexers 1.1.1
- jedi 0.19.2
- markdown-it-py 3.0.0
- 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
- polib 1.2.0
- 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
- pymemcache 4.0.0
- pytest 8.4.1
- pytest-django 4.11.1
- python-dotenv 1.1.1
- pyyaml 6.0.2
- questionary 2.1.0
- rich 14.0.0
- rich-click 1.8.9
- ruff 0.12.3
- sentry-sdk 2.33.0
- sniffio 1.3.1
- sqlparse 0.5.3
- stack-data 0.6.3
- tomlkit 0.13.3
- traitlets 5.14.3
- typing-extensions 4.14.1
- typing-inspection 0.4.1
- tzdata 2025.2
- urllib3 2.5.0
- virtualenv 20.31.2
- wcmatch 10.1
- wcwidth 0.2.13
- whitenoise 6.9.0