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Best Zola Alternatives

Reviewed byRoman K

3 alternatives to Zola in Static Site Generators, compared by pricing, DX grade, security, and vendor lock-in.

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Zola

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Single-binary static site generator in Rust

Pricing: open-source, from $0/mo
Stars: 17.2k
#1

Hugo

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Pricing
open-source
GitHub Stars
88.8k
Category
Static Site Generators
#2

Eleventy

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Pricing
open-source
GitHub Stars
19.7k
Weekly Downloads
150.0k
Category
Static Site Generators
#3

Jekyll

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Pricing
open-source
GitHub Stars
51.5k
Category
Static Site Generators

Pricing and traction at a glance

Of the 3 alternatives listed, 3 are tracked with full data: 3 keep a free plan, 3 are open source. Paid entries run from $0/mo (Hugo) to $0/mo (Jekyll). Hugo carries the most GitHub traction with 88,800 stars. Switching cost is usually driven by lock-in, not by the sticker price.

ToolPricingFree planGitHub stars
Hugoopen-source — from $0/moyes88,800
Eleventyopen-source — from $0/moyes19,700
Jekyllopen-source — from $0/moyes51,500

FAQ

What are the best Zola alternatives in 2026?

The top alternatives to Zola are Hugo, Eleventy, Jekyll. Each offers different trade-offs in pricing, developer experience, and lock-in risk.

Is there a free alternative to Zola?

Several Zola alternatives offer free tiers or self-hosted options: check individual pricing pages for current free tier availability.

How many Zola alternatives are tracked here?

3 in the Static Site Generators category, compared on price difference, lock-in risk and developer experience where editorial data exists.

Frequently asked questions

What are the best Zola alternatives in 2026?

The top alternatives to Zola are Hugo, Eleventy, Jekyll. Each offers different trade-offs in pricing, developer experience, and lock-in risk.

Is there a free alternative to Zola?

Several Zola alternatives offer free tiers or self-hosted options: check individual pricing pages for current free tier availability.

How many Zola alternatives are tracked here?

3 in the Static Site Generators category, compared on price difference, lock-in risk and developer experience where editorial data exists.