{"id":19167222,"url":"https://github.com/cmudig/autoprofiler","last_synced_at":"2025-04-04T11:08:03.010Z","repository":{"id":47702316,"uuid":"473408080","full_name":"cmudig/AutoProfiler","owner":"cmudig","description":"Automatically profile dataframes in the Jupyter sidebar","archived":false,"fork":false,"pushed_at":"2024-01-21T18:16:39.000Z","size":25526,"stargazers_count":345,"open_issues_count":28,"forks_count":11,"subscribers_count":5,"default_branch":"main","last_synced_at":"2025-04-04T10:49:34.048Z","etag":null,"topics":["jupyter","pandas","python"],"latest_commit_sha":null,"homepage":"","language":"Svelte","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/cmudig.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","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,"publiccode":null,"codemeta":null}},"created_at":"2022-03-24T00:51:58.000Z","updated_at":"2025-03-12T12:44:22.000Z","dependencies_parsed_at":"2023-02-13T02:30:58.377Z","dependency_job_id":"e55b9efb-1d18-4124-a865-f66d960a2a5b","html_url":"https://github.com/cmudig/AutoProfiler","commit_stats":{"total_commits":223,"total_committers":4,"mean_commits":55.75,"dds":"0.013452914798206317","last_synced_commit":"37c883ebf266fd2c3e55659946b9e8a2f85830db"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cmudig%2FAutoProfiler","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cmudig%2FAutoProfiler/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cmudig%2FAutoProfiler/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cmudig%2FAutoProfiler/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/cmudig","download_url":"https://codeload.github.com/cmudig/AutoProfiler/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247166166,"owners_count":20894654,"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":["jupyter","pandas","python"],"created_at":"2024-11-09T09:36:22.674Z","updated_at":"2025-04-04T11:08:02.993Z","avatar_url":"https://github.com/cmudig.png","language":"Svelte","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\u003ca href=\"#\"\u003e\u003cimg width=60% alt=\"\" src=\"https://raw.githubusercontent.com/cmudig/AutoProfiler/main/.github/screenshots/Autoprofiler_social_tag.png\"\u003e\u003c/a\u003e\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n    \u003ca href=\"https://pypi.org/project/digautoprofiler/\"\u003e\n        \u003cimg alt=\"PyPi\" src=\"https://img.shields.io/pypi/v/digautoprofiler.svg\" align=\"center\"\u003e\n    \u003c/a\u003e\n     \u003ca href=\"https://mybinder.org/v2/gh/cmudig/AutoProfiler/HEAD?labpath=examples%2FSF%20Housing%20Demo.ipynb\"\u003e\n        \u003cimg alt=\"Binder\" src=\"https://mybinder.org/badge_logo.svg\" align=\"center\"\u003e\n    \u003c/a\u003e\n     \u003ca href=\"http://dig.cmu.edu/AutoProfiler\"\u003e\n        \u003cimg alt=\"Lite\" src=\"https://gist.githubusercontent.com/willeppy/35cdc20a3fc26e393ce76f1df35bcdfc/raw/a7fca1d0a2d62c2b49f60c0217dffbd0fe404471/lite-badge-launch-small.svg\" align=\"center\"\u003e\n    \u003c/a\u003e\n\u003c/p\u003e\n\nProfile your [Pandas](https://pandas.pydata.org) Dataframes! Autoprofiler will automatically visualize your Pandas dataframes after every execution, no extra code necessary.\n\nAutoprofiler allows you to spend less time specifying charts and more time interacting with your data by automatically showing you profiling information like:\n\n-   Distribution of each column\n-   Sample values\n-   Summary statistics\n\n## Updates profiles as your data updates\n\n![screenshot of Autoprofiler](https://raw.githubusercontent.com/cmudig/AutoProfiler/main/.github/screenshots/profiler_sc.png)\n\nAutoprofiler reads your current Jupyter notebook and produces profiles for the Pandas Dataframes in your memory as they change.\n\nhttps://user-images.githubusercontent.com/13400543/199877605-ba50f9c8-87e5-46c9-8207-1c6496bb3b18.mov\n\n## Install\n\nTo instally locally use pip and then open jupyter lab and the extension will be running.\n\n```bash\npip install -U digautoprofiler\n```\n\nPlease note, AutoProfiler only works in [JupyterLab](https://jupyter.org/install) with version \u003e=3.x, \u003c 4.0.0.\n\n## Try it out\n\nTo try out Autoprofiler in a hosted notebook, use one of the options below\n\n|                                                                                           Jupyter Lite                                                                                            |                                                                       Binder                                                                       |\n| :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------: |\n| [![Lite](https://gist.githubusercontent.com/willeppy/35cdc20a3fc26e393ce76f1df35bcdfc/raw/a7fca1d0a2d62c2b49f60c0217dffbd0fe404471/lite-badge-launch-small.svg)](http://dig.cmu.edu/AutoProfiler) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/cmudig/AutoProfiler/HEAD?labpath=examples%2FSF%20Housing%20Demo.ipynb) |\n\n**Browser support:** AutoProfiler has been developed and tested with Chrome.\n\n## Development Install\n\nFor development install instructions, see [CONTRIBUTING.md](CONTRIBUTING.md).\n\nIf you're having install issues, see [TROUBLESHOOTING.md](TROUBLESHOOTING.md).\n\n## Acknowledgements\n\nBig thanks to the Rill Data team! Much of our profiler UI code is adapted from [Rill Developer](https://github.com/rilldata/rill-developer).\n\n## Citation\n\nPlease reference our [VIS'23 paper](https://arxiv.org/abs/2308.03964):\n\n```bibtex\n@article{epperson23autoprofiler,\n  title={Dead or Alive: Continuous Data Profiling for Interactive Data Science},\n  author={Will Epperson and Vaishnavi Goranla and Dominik Moritz and Adam Perer},\n  journal={IEEE Transactions on Visualization and Computer Graphics},\n  year={2023},\n  url={https://arxiv.org/abs/2308.03964}\n}\n```\n\n## Let us know what you think! 📢\n\nWe would love to hear your feedback on how you are using AutoProfiler! Please fill out [this form](https://forms.gle/V3ejpXxMcQXqYJG48) or email Will at [willepp@cmu.edu](mailto:willepp@cmu.edu).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcmudig%2Fautoprofiler","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcmudig%2Fautoprofiler","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcmudig%2Fautoprofiler/lists"}