{"data":{"slug":"lux-org-lux","name":"lux","tagline":"Automatically visualize your pandas dataframe via a single print! 📊 💡","github_url":"https://github.com/lux-org/lux","owner":"lux-org","repo":"lux","owner_avatar_url":"https://avatars.githubusercontent.com/u/59636588?v=4","primary_language":"Python","stars":5380,"forks":380,"topics":["data-science","exploratory-data-analysis","jupyter","pandas","python","visualization","visualization-tools"],"archived":false,"github_pushed_at":"2024-03-20T15:48:47+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/lux-org-lux","markdown_url":"https://www.graphcanon.com/tools/lux-org-lux.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/lux-org-lux","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=lux-org-lux","description":"Automatically visualize your pandas dataframe via a single print! 📊 💡","homepage_url":null,"license":"Apache-2.0","open_issues":90,"watchers":84,"ai_summary":null,"readme_excerpt":"# Getting Started\n\nTo start using Lux, simply add an extra import statement along with your Pandas import.\n\n```python    \nimport lux\nimport pandas as pd\n```\n\nLux can be used without modifying any existing Pandas code. Here, we use Pandas's [read_csv](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html) command to load in a [dataset of colleges](https://github.com/lux-org/lux-datasets/blob/master/data/college.csv) and their properties.\n\n```python    \ndf = pd.read_csv(\"https://raw.githubusercontent.com/lux-org/lux-datasets/master/data/college.csv\")\ndf\n```\nWhen the dataframe is printed out, Lux automatically recommends a set of visualizations highlighting interesting trends and patterns in the dataset.\n\n<img src=\"https://github.com/lux-org/lux-resources/blob/master/readme_img/basicDemo.gif?raw=true\"\n     alt=\"Basic recommendations in Lux\"\n     style=\"width:900px\" />\n\nVoila! Here's a set of visualizations that you can now use to explore your dataset further!\n\n---\n\n# Installation & Setup\n\n> **Note**: Lux's official package name is `lux-api` (not `lux`). After installing the package, remember to run the setup instructions for your notebook IDE, e.g., [jupyter notebook](#setup-in-jupyter-notebook-vscode-jupyterhub) and [jupyter lab](#setup-in-jupyter-lab).\n\nTo get started, please follow both the installation and setup instructions in your command line.\n`lux-api` can be installed through [PyPI](https://pypi.org/project/lux-api/) or [conda-forge](https://github.com/conda-forge/lux-api-feedstock). \n\n```bash\npip install lux-api\n```\n\nIf you use [conda](https://docs.conda.io/en/latest/), you can install `lux-api` via:\n\n```bash\nconda install -c conda-forge lux-api\n```\n\nBoth the PyPI and conda installation include includes the Lux Jupyter widget frontend, [lux-widget](https://pypi.org/project/lux-widget/).","github_created_at":"2020-01-08T04:53:29+00:00","created_at":"2026-07-11T23:28:10.498645+00:00","updated_at":"2026-07-11T23:28:19.248181+00:00","categories":[{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"data-science","name":"data-science"},{"slug":"exploratory-data-analysis","name":"exploratory-data-analysis"},{"slug":"python","name":"python"},{"slug":"jupyter","name":"jupyter"},{"slug":"visualization-tools","name":"visualization-tools"},{"slug":"visualization","name":"visualization"},{"slug":"pandas","name":"pandas"}],"trust":{"provenance":{"is_fork":false,"github_id":232480726,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T23:28:14.449Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":843,"last_release_at":"2022-02-19T00:48:20Z"},"security_summary":{"status":"findings","scanner":"osv@v1","low_count":13,"high_count":0,"last_scan_at":"2026-07-11T23:28:14.942Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-11T23:28:14.204Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-07-11T23:28:14.204Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-07-11T23:28:14.204Z"}}}}