Alternatives

Aquarel alternatives for AI agents.

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

Compare shortlist View Aquarel

Current skill

Aquarel

Styling matplotlib made easy

Quality

Trust

868

Stars

Matplotlib

Similarity 149Trust 92Excellent 100

matplotlib: plotting with Python

23K starsJun 16, 2026 pushdata-analysisPythonData Visualization

$ npx skills add matplotlib/matplotlib

Seaborn

Similarity 140Trust 92Excellent 100

Statistical data visualization in Python

14K starsJan 22, 2026 pushdata-analysisPythonData Visualization

$ npx skills add mwaskom/seaborn

Folium

Similarity 131Trust 91Excellent 100

Python Data. Leaflet.js Maps.

7.4K starsJun 15, 2026 pushdata-analysisPythonData Visualization

$ npx skills add python-visualization/folium

Mercury

Similarity 130Trust 95Excellent 100

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

4.3K starsJun 12, 2026 pushdata-analysisPythonData Visualization

$ npx skills add mljar/mercury

Vizro

Similarity 130Trust 93Excellent 100

Vizro is a low-code toolkit for building high-quality data visualization apps.

3.7K starsJun 16, 2026 pushdata-analysisPythonData Visualization

$ npx skills add mckinsey/vizro

Sweetviz

Similarity 129Trust 93Excellent 100

Visualize and compare datasets, target values and associations, with one line of code.

3.1K starsApr 11, 2026 pushdata-analysisPythonData Visualization

$ npx skills add fbdesignpro/sweetviz

Proplot

Similarity 129Trust 86Strong 71

🎨 A succinct matplotlib wrapper for making beautiful, publication-quality graphics

1.2K starsFeb 27, 2025 pushdata-analysisPythonData Visualization

$ npx skills add proplot-dev/proplot

Linear Algebra Made Easy Learn With Python And Visualization

Similarity 129Trust 87Excellent 94

”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

2.3K starsMay 1, 2026 pushdata-analysisJupyter NotebookData Visualization

$ npx skills add Visualize-ML/Linear-Algebra-Made-Easy---Learn-with-Python-and-Visualization

Streamlit

Similarity 128Trust 95Excellent 100

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

45K starsJun 14, 2026 pushdata-analysisPythonData Analysis

$ npx skills add streamlit/streamlit

#10

D3

Similarity 128Trust 94Excellent 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

#11

Reflex

Similarity 128Trust 95Excellent 100

🕸️ Web apps in pure Python 🐍

29K starsJun 13, 2026 pushdata-analysisPythonData Analysis

$ npx skills add reflex-dev/reflex

#12

RoughViz

Similarity 127Trust 84Strong 79

Reusable JavaScript library for creating sketchy/hand-drawn styled charts in the browser.

7.1K starsApr 26, 2024 pushdata-analysisJavaScriptData Visualization

$ npx skills add jwilber/roughViz

#13

Visx

Similarity 127Trust 95Excellent 100

🐯 visx | visualization components

21K starsJun 15, 2026 pushdata-analysisTypeScriptData Visualization

$ npx skills add airbnb/visx

#14

Plotly.Js

Similarity 127Trust 95Excellent 100

Open-source JavaScript charting library behind Plotly and Dash

18K starsJun 16, 2026 pushdata-analysisJavaScriptData Visualization

$ npx skills add plotly/plotly.js

#15

Hypertools

Similarity 127Trust 89Excellent 94

A Python toolbox for gaining geometric insights into high-dimensional data

1.9K starsJan 29, 2026 pushdata-analysisPythonData Visualization

$ npx skills add ContextLab/hypertools

#16

Deck.Gl

Similarity 126Trust 95Excellent 100

WebGL2 powered visualization framework

14K starsJun 16, 2026 pushdata-analysisTypeScriptData Visualization

$ npx skills add visgl/deck.gl

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

Next step

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