{"id":19210783,"url":"https://github.com/flekschas/jupyter-scatter-tutorial","last_synced_at":"2025-05-12T19:25:47.883Z","repository":{"id":180807107,"uuid":"656764189","full_name":"flekschas/jupyter-scatter-tutorial","owner":"flekschas","description":"Jupyter Scatter Tutorial (that was first presented at SciPy '23)","archived":false,"fork":false,"pushed_at":"2024-09-18T14:03:22.000Z","size":8288,"stargazers_count":22,"open_issues_count":2,"forks_count":0,"subscribers_count":4,"default_branch":"main","last_synced_at":"2025-05-12T19:25:40.821Z","etag":null,"topics":["data-visualization","embeddings","jupyter-widget","jupyterlab","python","scatter-plot"],"latest_commit_sha":null,"homepage":"https://colab.research.google.com/github/flekschas/jupyter-scatter-tutorial/blob/main/notebooks/Index.ipynb","language":"Jupyter Notebook","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/flekschas.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2023-06-21T15:32:21.000Z","updated_at":"2025-02-18T17:38:28.000Z","dependencies_parsed_at":"2023-07-12T23:23:38.479Z","dependency_job_id":"ecea6709-c18b-4b6c-a07c-d6dc2f373189","html_url":"https://github.com/flekschas/jupyter-scatter-tutorial","commit_stats":null,"previous_names":["flekschas/jupyter-scatter-tutorial"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/flekschas%2Fjupyter-scatter-tutorial","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/flekschas%2Fjupyter-scatter-tutorial/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/flekschas%2Fjupyter-scatter-tutorial/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/flekschas%2Fjupyter-scatter-tutorial/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/flekschas","download_url":"https://codeload.github.com/flekschas/jupyter-scatter-tutorial/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253807079,"owners_count":21967286,"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":["data-visualization","embeddings","jupyter-widget","jupyterlab","python","scatter-plot"],"created_at":"2024-11-09T13:37:59.972Z","updated_at":"2025-05-12T19:25:47.856Z","avatar_url":"https://github.com/flekschas.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Jupyter Scatter Tutorial\n\n\u003cp float=\"center\"\u003e\n   \u003ca href=\"https://www.youtube.com/watch?v=RyC5ixtQG-Q\"\u003e\n        \u003cimg\n         width=\"auto\"\n         height=\"320px\"\n         src=\"https://github.com/flekschas/jupyter-scatter-tutorial/blob/2a125926ed49fad4f14888b43f95979b0d92ce96/teaser.gif\"\n         alt=\"SciPy 2023 Talk\"\n        \u003e\n   \u003c/a\u003e\n\u003c/p\u003e\n\n:wave: Welcome! Here you will find the notebooks for the **Jupyter Scatter** tutorial, first presented at [SciPy 2023](https://cfp.scipy.org/2023/talk/AXSVZ3/). These notebooks offer an in-depth guide to interactive scatter plot visualizations using [`jupyter-scatter`](https://github.com/flekschas/jupyter-scatter). Specifically, the tutorial covers\n\n1. [How to get started with Jupyter Scatter and visualize medium to large-scale datasets as interactive scatter plots.](notebooks/1-Getting-Started.ipynb)\n2. [How to compose and link/synchronize multiple scatter plots](notebooks/2-Composing-Linking-Scatter-Plots.ipynb)\n3. How to integrate Jupyter Scatter with other widgets to build bespoke interfaces for:\n   1. [Exploring LLM-based sentence embeddings](notebooks/3-LLM-Sentence-Embedding.ipynb)\n   2. [Comparing multiple embedding method of the Fashion MNIST dataset](notebooks/3-Fashion-MNIST.ipynb)\n   3. [Browsing genomic data with HiGlass and loci embeddings](notebooks/3-Genomics.ipynb)\n   4. [Comparing a pair of single-cell embeddings by their label abundance differences](notebooks/3-Comparative-Single-Cell-Embeddings.ipynb)\n4. How to use the tooltip feature, introduced in `v0.15.0` (Added after the SciPy 2023):\n   1. [Tooltip with text previews for the LLM-based sentence embeddings](notebooks/4-Tooltip-LLM-Sentence-Embedding.ipynb)\n   2. [Tooltip with image previews for the Fashion MNIST embedding](notebooks/4-Tooltip-Fashion-MNIST.ipynb)\n   3. [Tooltip for a single-cell embededding](notebooks/4-Tooltip-Single-Cell-Embeddings.ipynb)\n   4. [Tooltip with audio previews for Google's Magenta Nsynth dataset](notebooks/4-Tooltip-Google-Nsynth.ipynb)\n5. How to add features to Jupyter Scatter through composition with other Jupyter Widgets or other Python libraries (Added after the SciPy 2023):\n   1. [Search](notebooks/5-Search.ipynb)\n   2. [Cluster Outlines and Contours](notebooks/5-Cluster-Outlines-Contours.ipynb)\n\n\u003e **Note**\n\u003e\n\u003e You can find my [SciPy '23 talk on YouTube](https://www.youtube.com/watch?v=RyC5ixtQG-Q) and the accompanying [slides at Speaker Deck](https://speakerdeck.com/flekschas/interactive-exploration-of-large-scale-datasets-with-jupyter-scatter).\n\n## Run the Tutorial\n\n#### Online\n\nIf you have a Google/Gmail account, you can run this tutorial from your browser using Colab: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/flekschas/jupyter-scatter-tutorial/blob/main/notebooks/Index.ipynb).\n\n\u003e [!IMPORTANT]\n\u003e You need to manually install Jupyter Scatter when running the notebooks in Google Colab via `!pip install jupyter-scatter`. Make sure to **not** install `jscatter` as that is a different package.\n\n#### Locally\n\nTo run the notebook locally we recommend setting up a custom environment using [hatch](https://github.com/pypa/hatch) as follows:\n\n```sh\nhatch shell\n```\n\nFinally, you can now run the notebooks with:\n\n```sh\njupyterlab\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fflekschas%2Fjupyter-scatter-tutorial","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fflekschas%2Fjupyter-scatter-tutorial","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fflekschas%2Fjupyter-scatter-tutorial/lists"}