Svelte 5 emerged as the top-performing front-end framework in Developer Experience in 2026. According to the State of JavaScript 2025 and Medium's "State of JS 2025: The Vibe Shift is Real", Svelte 5 achieved a 91% retention rate—the highest among frameworks—and topped Developer Experience (DX) metrics with its new Runes signal-based reactivity system. TSH.io's JavaScript frameworks 2025 insights (6,000+ developers) report Svelte used by 25.8% of developers and 43.6% of non-users wanting to learn it. Svelte 5 went stable in October 2024; the Introducing Runes post and Vercel's What's new in Svelte 5 describe $state, $derived, and $effect for fine-grained reactivity across .svelte, .js, and .ts files. W3Techs' Svelte usage statistics report Svelte on 0.1% of all websites as of 2026—lower than React's 6.2%—but developer satisfaction and intent to learn are among the highest. Python is the tool many teams use to visualize framework retention and survey data for reports like this one. This article examines where Svelte stands in 2026, why Runes changed the game, and how Python powers the charts that tell the story.
91% Retention and #1 in Developer Experience
Svelte's retention and DX lead did not happen overnight. The State of JavaScript 2025 and Medium's State of JS 2025 summary report Svelte 5 at 91% retention—the highest among front-end frameworks—driven by the Runes reactivity model that gives developers an alternative to React's useEffect dependency arrays. Devstract's Svelte 5 Rundown and Svelte's blog explain $state, $derived, and $effect for explicit, predictable reactivity. The following chart, generated with Python and matplotlib using State of JS–style data, illustrates framework retention (Svelte vs. React vs. Vue vs. Angular) in 2025–2026.

The chart above shows Svelte leading retention—reflecting its position as the framework developers most want to keep using. Python is the natural choice for building such visualizations: frontend and developer-relations teams routinely use Python scripts to load survey data and produce publication-ready charts for reports and articles like this one.
26% Use Svelte, 44% Want to Learn: The Runes Effect
The scale of Svelte adoption and intent to learn is striking. TSH.io reports 25.8% of developers use Svelte and 43.6% of non-users want to learn it—one of the highest "want to learn" rates among frameworks. Svelte 5 is alive (October 2024) and Vercel's Svelte 5 blog describe universal reactivity: $state, $derived, and $effect work in .svelte, .js, and .ts files, fixing stale closures, ambiguous dependency tracking, and TypeScript integration issues that plagued earlier Svelte. When teams need to visualize framework adoption—usage vs. want to learn—they often use Python and matplotlib or seaborn. The following chart, produced with Python, summarizes Svelte usage and intent to learn (vs. React, Vue, Angular) in a style consistent with State of JS 2025.

The chart illustrates Svelte with strong usage and highest intent to learn—context that explains the "vibe shift" toward Svelte 5 and Runes. Python is again the tool of choice for generating such charts from survey or internal data, keeping analytics consistent with the rest of the data stack.
Why Svelte Won DX: Runes, Performance, and Python for Analytics
The business case for Svelte is Runes, performance, and simplicity. Svelte's Introducing Runes and Vercel's What's new in Svelte 5 stress $state for reactive variables, $derived for computed values, and $effect for side effects—explicit reactivity that replaces implicit $: syntax and improves TypeScript and cross-file reuse. W3Techs' Svelte vs. React comparison and BuiltWith Svelte trends note Svelte on 0.1% of websites vs. React on 6.2%—developer preference is ahead of production footprint. For teams that track framework retention or intent to learn over time, Python is often used to load State of JS or survey data and plot trends. A minimal example might look like the following: load a CSV of framework retention by year, and save a chart for internal or public reporting.
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("svelte_retention_by_year.csv")
fig, ax = plt.subplots(figsize=(10, 5))
ax.plot(df["year"], df["retention_pct"], marker="o", linewidth=2, color="#ff3e00")
ax.set_ylabel("Retention (%)")
ax.set_title("Svelte retention (State of JS-style)")
fig.savefig("public/images/blog/svelte-retention-trend.png", dpi=150, bbox_inches="tight")
plt.close()
That kind of Python script is typical for frontend and platform teams: same language used for pipelines and dashboards, and direct control over chart layout and messaging.
React, Vue, and the DX-First Shift
Svelte is not the only framework gaining on developer experience. The State of JavaScript 2025 and State of JS 2024 show React and Vue with stable usage; the battle has shifted to meta-frameworks (Next.js, Nuxt, Astro) and AI-assisted workflows (v0, Lovable). Svelte 5 stands out for retention and DX—developers who try it tend to keep using it. Infoworld's Angular, React, Vue, and Svelte comparison and W3Techs add context on production adoption. Python is the language many use to analyze State of JS data and visualize framework retention for reports like this one.
Conclusion: Svelte as the DX Leader in 2026
In 2026, Svelte 5 is the top-performing framework in Developer Experience and retention. 91% retention (State of JS 2025), 26% use and 44% want to learn (TSH.io), and Runes ($state, $derived, $effect) tell the story: Svelte won on explicit reactivity, performance, and developer satisfaction. React and Vue still lead production website share; Svelte leads intent to learn and retention. Python remains the language that powers the analytics—survey data, retention metrics, and the visualizations that explain the story—so that for Google News and Google Discover, the story in 2026 is clear: Svelte is where DX lives, and Python is how many of us chart it.




