Alternatives

Mercury alternatives for AI agents.

Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.

Current skill

Mercury

The fastest way to turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.

100
Quality
90
Trust
4.3K
Stars
#1

Matplotlib

Similarity 132Trust 85Excellent 100

matplotlib: plotting with Python

23K starsJun 16, 2026 pushdata-analysisPythonData Visualization
$ npx skills add matplotlib/matplotlib
#2

Folium

Similarity 129Trust 84Excellent 96

Python Data. Leaflet.js Maps.

7.4K starsJun 15, 2026 pushdata-analysisPythonData Visualization
$ npx skills add python-visualization/folium
#3

Streamlit

Similarity 127Trust 88Excellent 100

Streamlit — A faster way to build and share data apps.

45K starsJun 14, 2026 pushdata-analysisPythonData Analysis
$ npx skills add streamlit/streamlit
#4

Reflex

Similarity 126Trust 88Excellent 100

🕸️ Web apps in pure Python 🐍

29K starsJun 13, 2026 pushdata-analysisPythonData Analysis
$ npx skills add reflex-dev/reflex
#5

Ipython

Similarity 126Trust 89Excellent 100

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

17K starsJun 15, 2026 pushdata-analysisPythonNotebook
$ npx skills add ipython/ipython
#6

Perspective

Similarity 125Trust 90Excellent 100

A data visualization and analytics component, especially well-suited for large and/or streaming datasets.

11K starsJun 5, 2026 pushdata-analysisC++Data Visualization
$ npx skills add perspective-dev/perspective
#7

Docker Stacks

Similarity 124Trust 86Excellent 100

Ready-to-run Docker images containing Jupyter applications

8.4K starsJun 20, 2026 pushdata-analysisPythonNotebook
$ npx skills add jupyter/docker-stacks
#8

Data Science For Beginners

Similarity 121Trust 88Excellent 100

10 Weeks, 20 Lessons, Data Science for All!

36K starsJun 10, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add microsoft/Data-Science-For-Beginners
#9

Best Of Ml Python

Similarity 120Trust 88Excellent 100

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

24K starsJun 11, 2026 pushdata-analysisData AnalysisOpenAI Agents
$ npx skills add lukasmasuch/best-of-ml-python
#10

Notebook

Similarity 119Trust 88Excellent 100

Jupyter Interactive Notebook

13K starsJun 19, 2026 pushdata-analysisJupyter NotebookNotebook
$ npx skills add jupyter/notebook
#11

Pandas

Similarity 119Trust 90Excellent 100

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

49K starsJun 14, 2026 pushdata-analysisPythonData Analysis
$ npx skills add pandas-dev/pandas
#12

Pixijs

Similarity 119Trust 90Excellent 100

The HTML5 Creation Engine: Create beautiful digital content with the fastest, most flexible 2D WebGL renderer.

47K starsJun 16, 2026 pushdata-analysisTypeScriptData Visualization
$ npx skills add pixijs/pixijs
#13

Gradio

Similarity 119Trust 90Excellent 100

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

43K starsJun 17, 2026 pushdata-analysisPythonData Analysis
$ npx skills add gradio-app/gradio
#14

Echarts

Similarity 119Trust 89Excellent 100

Apache ECharts is a powerful, interactive charting and data visualization library for browser

67K starsJun 2, 2026 pushdata-analysisTypeScriptData Visualization
$ npx skills add apache/echarts
#15

D3

Similarity 119Trust 87Excellent 100

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

113K starsMay 28, 2026 pushdata-analysisShellData Visualization
$ npx skills add d3/d3
#16

Akshare

Similarity 118Trust 90Excellent 100

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

20K starsMay 27, 2026 pushdata-analysisPythonData Analysis
$ npx skills add akfamily/akshare

How to choose

When should you switch?

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 Mercury if it already passes your workflow test and repository review.

Next step

Compare top candidates side by side

Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.