{"id":15519897,"url":"https://github.com/ceteri/nbtransom","last_synced_at":"2025-04-23T04:18:30.858Z","repository":{"id":57445190,"uuid":"91925426","full_name":"ceteri/nbtransom","owner":"ceteri","description":"Machines and people collaborating together through Jupyter notebooks.","archived":false,"fork":false,"pushed_at":"2017-08-24T12:29:41.000Z","size":14,"stargazers_count":18,"open_issues_count":0,"forks_count":5,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-04-23T04:18:25.727Z","etag":null,"topics":["active-learning","collaborative-documents","human-in-the-loop","jupyter-notebook","machine-learning","pipelines","python"],"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/ceteri.png","metadata":{"files":{"readme":"README.rst","changelog":"changelog.txt","contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2017-05-21T01:09:07.000Z","updated_at":"2024-04-01T20:59:48.000Z","dependencies_parsed_at":"2022-09-26T17:30:46.014Z","dependency_job_id":null,"html_url":"https://github.com/ceteri/nbtransom","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ceteri%2Fnbtransom","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ceteri%2Fnbtransom/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ceteri%2Fnbtransom/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ceteri%2Fnbtransom/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ceteri","download_url":"https://codeload.github.com/ceteri/nbtransom/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250366715,"owners_count":21418772,"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":["active-learning","collaborative-documents","human-in-the-loop","jupyter-notebook","machine-learning","pipelines","python"],"created_at":"2024-10-02T10:23:29.265Z","updated_at":"2025-04-23T04:18:30.832Z","avatar_url":"https://github.com/ceteri.png","language":"Python","readme":"Active Learning with Jupyter Notebooks\n======================================\n\nThis is a Python 3 library to read/write cells programmatically in\n`Jupyter notebooks \u003chttps://jupyter.org/\u003e`_ which anticipates upcoming\n`collaborative \u003chttps://groups.google.com/forum/#!topic/jupyter/r7QSObF5YSg\u003e`_\nfeatures in Jupyter.\n\nWe use this at `O'Reilly Media \u003chttps://www.oreilly.com/\u003e`_ for\nnotebooks used to manage machine learning pipelines.\nThat is to say, *machines and people collaborate on documents*, \nimplementing a \"human-in-the-loop\" design pattern:\n\n-  people adjust parameters for the ML pipelines\n-  machines write structured \"logs\" during ML modeling/evaluation\n-  people run ``jupyter notebook`` via SSH tunnel for remote access\n\nFor more info about use cases for this library and *active learning* \nin general, see the `JupyterCon 2017 \u003chttps://jupytercon.com/\u003e`_ talk\n`Humans in the loop \u003chttps://conferences.oreilly.com/jupyter/jup-ny/public/schedule/detail/60058\u003e`_\n\n\nExample Usage\n-------------\n\nThe following script generates a Jupyter notebook in the ``test.ipynb``\nfile, then runs it:\n\n::\n\n    python test.py\n    jupyter notebook\n\nThen launch the ``test.ipynb`` notebook and from the ``Cells`` menu\nselect ``Run All`` to view results.\n\nNB: whenever you use the ``put_df()`` function to store data as a \n`Pandas dataframe \u003chttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html\u003e`_\nbe sure to include ``import pandas as pd`` at some earlier point in\nthe notebook.\n\n\nDependencies and Installation\n-----------------------------\n\nThis code has dependencies on:\n\n-  `nbformat \u003chttps://github.com/jupyter/nbformat\u003e`_\n-  `pandas \u003chttps://pandas.pydata.org/\u003e`_\n\nTo install from `PyPi \u003chttps://pypi.python.org/pypi/nbtransom\u003e`_:\n\n::\n\n    pip install nbtransom\n\n\nTo install from this Git repo:\n\n::\n\n    git clone https://github.com/ceteri/nbtransom.git\n    cd nbtransom\n    pip install -r requirements.txt\n\n\nKudos\n-----\n\n`@htmartin \u003chttps://github.com/htmartin\u003e`_\n`@esztiorm \u003chttps://github.com/esztiorm\u003e`_\n`@fperez \u003chttps://github.com/fperez\u003e`_\n`@odewahn \u003chttps://github.com/odewahn\u003e`_\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fceteri%2Fnbtransom","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fceteri%2Fnbtransom","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fceteri%2Fnbtransom/lists"}