Vizro is a low-code toolkit for building high-quality data visualization apps.
$ npx skills add mckinsey/vizroAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Build and share data reports in 100% Python
Vizro is a low-code toolkit for building high-quality data visualization apps.
$ npx skills add mckinsey/vizroStatistical data visualization in Python
$ npx skills add mwaskom/seabornPython Data. Leaflet.js Maps.
$ npx skills add python-visualization/foliummatplotlib: plotting with Python
$ npx skills add matplotlib/matplotlibMatplotlib 3.1 cheat sheet.
$ npx skills add rougier/matplotlib-cheatsheet10 Weeks, 20 Lessons, Data Science for All!
$ npx skills add microsoft/Data-Science-For-BeginnersSupercharge BigQuery with BigFunctions
$ npx skills add unytics/bigfunctionsThe Python-ARM Radar Toolkit. A data model driven interactive toolkit for working with weather radar data.
$ npx skills add ARM-DOE/pyartBook_6_《数据有道》 | 鸢尾花书:从加减乘除到机器学习;欢迎大家批评指正!纠错多的同学会得到赠书感谢!
$ npx skills add Visualize-ML/Book6_First-Course-in-Data-Science”数学不难“ 之 《线性代数不难》上下册,66话题完册;欢迎批评指正
$ npx skills add Visualize-ML/Linear-Algebra-Made-Easy---Learn-with-Python-and-Visualization🎨 A succinct matplotlib wrapper for making beautiful, publication-quality graphics
$ npx skills add proplot-dev/proplotFlexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
$ npx skills add pandas-dev/pandasBring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
$ npx skills add d3/d3Streamlit — A faster way to build and share data apps.
$ npx skills add streamlit/streamlit🕸️ Web apps in pure Python 🐍
$ npx skills add reflex-dev/reflexReusable JavaScript library for creating sketchy/hand-drawn styled charts in the browser.
$ npx skills add jwilber/roughVizHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Datapane if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.