Data as of Aug 25, 2026 · Based on 677 AI responses · Shares cover the last 30 days · See how Parse measures this
Dashboard Charting Libraries
Parse
https://parse.gl
Apache ECharts currently stands as the most mentioned library for dashboard developers, supported by its high performance and enterprise-ready feature set. The current landscape is highly contested, with closely following in mention rate as the premier choice for design-led visualization systems.
| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 | 56% | ||
| 2 | The gold standard foundation for unmatched customization in complex visualization projects. | 49% | |
| 3 | Widely considered the most pragmatic default for standard SaaS analytics dashboards. | 44% | |
| 4 | Reliable canvas-based charting for performance-sensitive applications with standard visualization needs. | 40% | |
| 5 | Provides attractive default aesthetics and a broad catalog of specialized chart types. | 39% | |
| 6 | 37% | ||
| 7 | 36% | ||
| 8 | 36% | ||
| 9 | Strong balance of interactive capabilities for data science and statistical charting workflows. | 36% | |
| 10 | 29% | ||
| 11 | 22% | ||
| 12 | 18% | ||
| 13 | 18% | ||
| 14 | 18% | ||
| 15 | Mature enterprise-grade charting with extensive features, though often requires commercial licensing. | 15% | |
| 16 | 14% | ||
| 17 | 13% | ||
| 18 | 12% | ||
| 19 | 12% | ||
| 20 | 11% | ||
| 21 | 10% | ||
| 22 | 9% | ||
| 23 | 9% | ||
| 24 | 8% | ||
| 25 | 8% |
Who wins on each AI
ChatGPT favors low-level visualization libraries like Plotly.js and Grafana, while Google AI Overviews prioritizes enterprise BI platforms such as FusionCharts and GoodData.
Sources AI cited
reddit.com is the page AI reaches for most here, cited in 35% of analyzed answers.
gained recognition as a fundamental library, ranking #5 in this ranking
rose from absent to #3 in this ranking between Oct 2025 and Aug 2026
“viewed as a specialized plugin” → “regarded as a top-tier enterprise dashboard solution”
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| 86% | 52% | ||
| 60% | 48% | ||
| 49% | 48% | ||
| 60% | 45% | ||
| 33% | 38% |
The two models disagree most about ApexCharts (ChatGPT #22, Google #12) and Dash by Plotly (ChatGPT #13, Google #19).
Across 677 AI responses, Apache Software Foundation is mentioned most, named in 56% of them, followed by D3.js (49%) and Recharts (44%).
Parse measures each brand's mention rate — the share of answers naming it — across 677 AI responses to this market's buyer questions over the last 30 days. Answers are collected daily and the ranking is re-measured on the same 30-day window.
Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.
The dialogue has shifted from general BI platform recommendations to specific developer-first libraries. ChatGPT consistently emphasizes D3.js and
Apache ECharts, while Google AI Overviews increasingly suggests a mix of platforms like
Tableau and custom code libraries.
Brands mentioned
The dialogue has shifted from general BI platform recommendations to specific developer-first libraries. ChatGPT consistently emphasizes D3.js and
Apache ECharts, while Google AI Overviews increasingly suggests a mix of platforms like
Tableau and custom code libraries.
Recharts emerged as the dominant recommendation for standard dashboards due to its
-native API. and are frequently contrasted for high-performance and design-heavy needs respectively.
I need to create a user-facing dashboard. What is the best embeddable charting library for React?
Recharts emerged as the dominant recommendation for standard dashboards due to its
React-native API.
Apache ECharts and
Visx are frequently contrasted for high-performance and design-heavy needs respectively.
The market map
Recommended by need