{"library":"scrapbook","type":"library","category":null,"description":"Scrapbook is a Python library for recording and reading data in Jupyter and nteract Notebooks. It allows users to persist data values and generated visual content (referred to as 'scraps') directly within the notebook file's output. These recorded scraps can then be recalled, read, or summarized programmatically for later use or for building robust notebook workflows. It aims to replace existing record functionality in libraries like Papermill. The library is actively maintained by the nteract team.","language":"python","status":"active","version":"0.5.0","tags":["jupyter","notebook","nteract","data serialization","workflow","data sharing"],"install":[{"cmd":"pip install scrapbook","imports":["import scrapbook as sb","sb.glue('my_data', {'key': 'value'})","notebook = sb.read_notebook('path/to/output.ipynb')","scrapbook_collection = sb.read_notebooks('path/to/directory')","from scrapbook.models import Scrapbook"]},{"cmd":"pip install scrapbook[all]","imports":[]}],"homepage":null,"github":"https://github.com/nteract/scrapbook","docs":"https://nteract-scrapbook.readthedocs.io","changelog":null,"pypi":"https://pypi.org/project/scrapbook/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":21.8,"avg_import_s":4.46,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/scrapbook/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}