ToolMage
Entrar
Applitools
Low-Code No-Code · 187.6K visitas mensais

Applitools é uma plataforma de automação de testes de ponta a ponta, alimentada por IA, projetada para ajudar as equipes a entregar aplicações perfeitas. Utiliza a IA Visual para automatizar testes funcionais, visuais, de API e de acessibilidade em todos os dispositivos, navegadores e tamanhos de tela, aumentando drasticamente a cobertura de testes e reduzindo a manutenção.

VS
mabl
Teste · 108.5K visitas mensais

mabl é uma plataforma de automação de testes alimentada por IA que simplifica os testes de ponta a ponta para aplicações web. Utiliza IA para acelerar a criação, execução e manutenção de testes, permitindo que equipas ágeis e de DevOps entreguem software de alta qualidade mais rapidamente. Com funcionalidades como testes de auto-reparação e análise de causa raiz orientada por IA, o mabl reduz o esforço de manutenção de suítes de teste frágeis.

Applitools vs mabl: preços, recursos e tráfego

Compare Applitools e mabl por posicionamento, preço, recursos, tráfego e avaliações.

Atualizado 5 de ago. de 2026

Visão geral

Applitools Visão geral

Applitools é uma plataforma de automação de testes de ponta a ponta, alimentada por IA, projetada para ajudar as equipes a entregar aplicações perfeitas. Utiliza a IA Visual para automatizar testes funcionais, visuais, de API e de acessibilidade em todos os dispositivos, navegadores e tamanhos de tela, aumentando drasticamente a cobertura de testes e reduzindo a manutenção.

Preview

mabl Visão geral

mabl é uma plataforma de automação de testes alimentada por IA que simplifica os testes de ponta a ponta para aplicações web. Utiliza IA para acelerar a criação, execução e manutenção de testes, permitindo que equipas ágeis e de DevOps entreguem software de alta qualidade mais rapidamente. Com funcionalidades como testes de auto-reparação e análise de causa raiz orientada por IA, o mabl reduz o esforço de manutenção de suítes de teste frágeis.

Preview

Detailed feature comparison

FeatureApplitoolsmabl
Categoria principalLow-Code No-CodeTeste
Adicionado2025-08-152025-08-10
PreçoFreemiumPago
Site oficialapplitools.comwww.mabl.com
Tipo de produtoSiteSite
Performance data
AvaliaçãoNão verificadoNão verificado
Comentários00
Visitas mensais187.6K108.5K
Crescimento mensal18.1%-8.7%
Favoritos115128
DetailsVer detalhesVer detalhes

Applitools vs mabl monthly traffic

Compare Applitools and mabl by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Applitools vs mabl monthly traffic comparison, Applitools currently shows 187.6K visits and mabl shows 108.5K; Applitools has about 1.7 times the visible traffic of mabl, an absolute difference of about 79.1K visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

Applitools monthly traffic:

Latest traffic

Visitas mensais
187.6K
Duração média
1:42
Páginas por visita
3.49
Taxa de rejeição
46.96%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 187.6K Visitas mensais
  • 2026/1: 245.9K Visitas mensais
  • 2026/2: 193K Visitas mensais
  • 2026/3: 158.5K Visitas mensais
  • 2026/4: 158.8K Visitas mensais
  • 2026/5: 187.6K Visitas mensais

Principais regiões

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇦Ukraine33.75%63.3K
🇺🇸United States20.47%38.4K
🇲🇩Moldova20.28%38K
🇩🇴Dominican Republic14.45%27.1K
🇮🇳India11.05%20.7K

Fontes de tráfego

Source typePercentageTraffic
Direto82.35%154.5K
Referência11.87%22.3K
E-mail5.78%10.8K

Palavras-chave

ai testing toolsapplitoolsapplitools eyesiframe testertest automation university

mabl monthly traffic:

Latest traffic

Visitas mensais
108.5K
Duração média
1:02
Páginas por visita
1.98
Taxa de rejeição
42.96%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 126.4K Visitas mensais
  • 2026/1: 130.9K Visitas mensais
  • 2026/2: 157K Visitas mensais
  • 2026/3: 161.2K Visitas mensais
  • 2026/4: 118.9K Visitas mensais
  • 2026/5: 108.5K Visitas mensais

Principais regiões

Top 5 countries/regions
Country/regionPercentageTraffic
🇯🇵Japan35.25%38.3K
🇺🇸United States25.96%28.2K
🇮🇳India20.4%22.1K
🇬🇧United Kingdom13.55%14.7K
🇳🇬Nigeria4.84%5.3K

Fontes de tráfego

Source typePercentageTraffic
Direto95.03%103.1K
Referência2.83%3.1K
E-mail2.14%2.3K

Palavras-chave

json 配列mablmabl helpswathubяк користуватись mabl
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate Applitools first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Usage comparison

Compare the core capabilities of Applitools and mabl

Applitools Core features

Teste
Automação
Low-Code No-Code

mabl Core features

Teste
Automação
Integração Contínua

Use cases

Applitools Use cases

Testes de IA
CI/CD
Teste de ponta a ponta
Automação de testes
Teste visual
Teste cross-browser
Cypress
Teste funcional
Teste sem código
Playwright
Selenium
Qualidade de software

mabl Use cases

Testes de IA
CI/CD
Teste de ponta a ponta
Automação de testes
Teste visual
DevOps
low-code
Perguntas e Respostas
Teste de regressão
Testes de autorreparação
teste de software

Applitools vs mabl:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Applitools vs mabl comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Applitools is primarily listed under “Low-Code No-Code”, while mabl is primarily listed under “Teste”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (Applitools: Low-Code No-Code; mabl: Teste); Pricing (Applitools: Freemium; mabl: Paid); Monthly visits (Applitools: 187.6K; mabl: 108.5K); Monthly growth (Applitools: 18.1%; mabl: -8.7%); Favorites (Applitools: 115; mabl: 128). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Applitools vs mabl monthly traffic comparison, Applitools currently shows 187.6K visits and mabl shows 108.5K; Applitools has about 1.7 times the visible traffic of mabl, an absolute difference of about 79.1K visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

If public market visibility is an important first-pass criterion, investigate Applitools first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Product positioning, use cases, and roles

Applitools and mabl currently overlap in shared categories: Teste e Automação; shared tags: Testes de IA, CI/CD, Teste de ponta a ponta, Automação de testes e Teste visual. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Applitools's unique categories/tags are Low-Code No-Code, Teste cross-browser, Cypress, Teste funcional, Teste sem código, Playwright, Selenium e Qualidade de software; mabl's are Integração Contínua, DevOps, low-code, Perguntas e Respostas, Teste de regressão, Testes de autorreparação e teste de software. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

Applitools has no verified rating, 0 comments, 115 favorites, and 107 likes;mabl has no verified rating, 0 comments, 128 favorites, and 114 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate Applitools first

Put Applitools on the priority trial list when the task aligns with “Low-Code No-Code” and especially Low-Code No-Code, Teste cross-browser, Cypress, Teste funcional, Teste sem código e Playwright. This follows recorded positioning and does not imply unlisted capabilities are absent.

Applitools also currently records: pricing is freemium, product type is website, 187.6K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate mabl first

Put mabl on the priority trial list when the task aligns with “Teste” and especially Integração Contínua, DevOps, low-code, Perguntas e Respostas, Teste de regressão e Testes de autorreparação. This follows recorded positioning and does not imply unlisted capabilities are absent.

mabl also currently records: pricing is paid, product type is website, 108.5K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Applitools and mabl, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

FAQ da comparação

How should I choose between Applitools and mabl?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.