Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
$ npx skills add keplergl/kepler.glAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
data view/report screen(数据可视化大屏,数据报表设计器)
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
$ npx skills add keplergl/kepler.gl10 Weeks, 20 Lessons, Data Science for All!
$ npx skills add microsoft/Data-Science-For-Beginners🔥 人人可用的开源 BI 工具,数据可视化神器。An open-source BI tool alternative to Tableau.
$ npx skills add dataease/dataeaseApache ECharts is a powerful, interactive charting and data visualization library for browser
$ npx skills add apache/echartsBring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
$ npx skills add d3/d3WeFlow - 一个本地的微信聊天记录导出和年度报告应用
$ npx skills add hicccc77/WeFlow📊 Interactive JavaScript Charts built on SVG
$ npx skills add apexcharts/apexcharts.js🌎 Large-scale WebGL-powered Geospatial Data Visualization analysis engine.
$ npx skills add antvis/L7Flexible 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/pandasBuild and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
$ npx skills add gradio-app/gradioscikit-learn: machine learning in Python
$ npx skills add scikit-learn/scikit-learnStreamlit — A faster way to build and share data apps.
$ npx skills add streamlit/streamlitAn Open Source implementation of Notebook LM with more flexibility and features
$ npx skills add lfnovo/open-notebook$ npx skills add apache/flink🕸️ Web apps in pure Python 🐍
$ npx skills add reflex-dev/reflexThe easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:
$ npx skills add metabase/metabaseHow 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 Data View Web 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.