{"id":13578704,"url":"https://github.com/agermanidis/pigeon","last_synced_at":"2025-06-16T21:39:25.513Z","repository":{"id":57452648,"uuid":"102412925","full_name":"agermanidis/pigeon","owner":"agermanidis","description":"🐦 Quickly annotate data from the comfort of your Jupyter notebook","archived":false,"fork":false,"pushed_at":"2024-04-04T08:55:11.000Z","size":1015,"stargazers_count":786,"open_issues_count":16,"forks_count":128,"subscribers_count":10,"default_branch":"master","last_synced_at":"2025-06-13T05:11:26.082Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/agermanidis.png","metadata":{"files":{"readme":"README.rst","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2017-09-05T00:04:14.000Z","updated_at":"2025-06-12T12:01:55.000Z","dependencies_parsed_at":"2024-04-16T22:03:36.808Z","dependency_job_id":"4a559fc4-6618-42db-91fb-cb09adb825cd","html_url":"https://github.com/agermanidis/pigeon","commit_stats":{"total_commits":2,"total_committers":1,"mean_commits":2.0,"dds":0.0,"last_synced_commit":"fa5760b2e24b5ec3f268da59ed7ffddf76318d58"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/agermanidis/pigeon","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agermanidis%2Fpigeon","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agermanidis%2Fpigeon/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agermanidis%2Fpigeon/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agermanidis%2Fpigeon/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/agermanidis","download_url":"https://codeload.github.com/agermanidis/pigeon/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agermanidis%2Fpigeon/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":260246457,"owners_count":22980395,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-08-01T15:01:33.024Z","updated_at":"2025-06-16T21:39:25.472Z","avatar_url":"https://github.com/agermanidis.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"🐦 pigeon - Quickly annotate data on Jupyter\n========================\n\nPigeon is a simple widget that lets you quickly annotate a dataset of\nunlabeled examples from the comfort of your Jupyter notebook.\n\nPigeon currently supports annotation for classification tasks (set of\nlabels), regression tasks (int/float range), or captioning tasks\n(variable-length text). Anything that can be displayed on Jupyter\n(text, images, audio, graphs, etc.) can be displayed by pigeon\nby providing the appropriate :code:`display_fn` argument.\n\nInstallation\n-----\n\n.. code-block:: bash\n\n    pip install pigeon-jupyter\n\nExamples\n-----\n\n- Text classification\n\nCode: \n\n.. code-block:: python\n\n    from pigeon import annotate\n    annotations = annotate(\n      ['I love this movie', 'I was really disappointed by the book'],\n      options=['positive', 'negative']\n    )\n\n\nPreview:\n\n.. image:: http://i.imgur.com/00ry4Li.gif\n\n- Image classification\n\nCode: \n\n.. code-block:: python\n\n    from pigeon import annotate\n    from IPython.display import display, Image\n\n    annotations = annotate(\n      ['assets/img_example1.jpg', 'assets/img_example2.jpg'],\n      options=['cat', 'dog', 'horse'],\n      display_fn=lambda filename: display(Image(filename))\n    )\n\nPreview:\n\n.. image:: http://i.imgur.com/PiE3eDt.gif\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fagermanidis%2Fpigeon","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fagermanidis%2Fpigeon","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fagermanidis%2Fpigeon/lists"}