8 Sofy Alternatives to Evaluate in 2026
Choosing a replacement for Sofy gets difficult as soon as you compare quotes. One product bills by tests, another by real-device minutes, another by seats or credits, and Appium does not have a subscription at all. A low starting price can describe a very different amount of testing capacity.
The short answer: the strongest Sofy alternatives depend on the operating model you want. Choose Appium when your engineers want to own code and infrastructure; choose Repeato for published per-user no-code pricing; consider Drizz, Autosana, TestBooster.ai, Panto AI, or Quash for natural-language workflows; and evaluate Katalon when mobile testing is part of a broader web, API, and desktop estate. None of the vendor pages reviewed here provides an independent benchmark proving that one is cheaper, less flaky, or more reliable than Sofy.
Sofy alternatives at a glance
Alternative | Best for | Authoring and scope | Public pricing status | Important limitation |
Drizz | Mobile-focused workflows that need visual run evidence | Plain-English mobile tests; real-device execution | Not publicly listed | Vendor material does not establish comparative reliability or cost |
Appium | Engineering-led automation with code ownership | WebDriver API with platform-specific drivers | Open source; no subscription price documented | You provide the engineering ownership and infrastructure |
Repeato | Smaller no-code teams that need visible per-user pricing | Visual testing for Android, iOS, and web | Free; Basic $70/user/month; Pro $120/user/month | Per-user pricing is not comparable with device-minute plans |
Autosana | Natural-language testing across mobile and web, including local-device workflows | iOS, Android, and web | Not publicly listed | Features are vendor-stated and pricing is still unpublished |
TestBooster.ai | Web and mobile testing under a credit model | Natural-language web and mobile tests | Basic $0.16/credit; Pro $0.15/credit | The vendor does not publish a credit-to-test conversion here |
Panto AI | Agentic mobile QA on real devices | Natural-language Android and iOS testing | Scale $20/500 credits | Public Scale plan runs one device at a time |
Katalon | Mixed estates spanning web, mobile, API, and desktop | No-code, low-code, and full-code options | Free plus component-based paid pricing | Licensing can involve seats, execution, and device components |
Quash | Mobile-first QA that also needs web and API checks | Plain-language test workflows across mobile, web, and API | Custom pricing | Public evidence here does not establish parity with Sofy’s device tiers |
The table deliberately does not convert credits, seats, tests, and device minutes into a single “monthly price.” Those units represent different products and usage allowances. Use them to decide what to ask in a trial, not to declare a winner.
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What should you compare with Sofy?
Sofy is not a single pricing model. Its no-code mobile-testing page says it runs tests on 100+ devices and provides log and performance-result analysis. Its pricing page separates AI Agents No-Code from the No-Code Platform, so a replacement discussion should first identify which Sofy product you use.
For AI Agents No-Code, Sofy lists Starter at $49 per month for up to 100 tests per month and Pro at $249 per month for up to 500 tests per month, with Enterprise pricing on request. For the No-Code Platform, it lists Starter at $749 per month on an annual contract, including 3,500 real-device minutes and three parallel device sessions, and Professional at $1,999 per month on an annual contract, including 8,000 real-device minutes and six parallel sessions. These are distinct billing and execution models, not interchangeable price points.
Before you shortlist a Sofy alternative, write down these requirements:
Authoring ownership: Do you need no-code authoring, natural-language instructions, or source-controlled test code?
Coverage: Is your need Android and iOS only, or must the same product cover web, APIs, or desktop software?
Execution environment: Do you need local hardware, vendor-hosted devices, emulators, or a defined combination?
Failure evidence: Which artifacts must a failed run produce—screenshots, video, logs, device state, or network data?
Commercial unit: Will you consume tests, credits, users, device minutes, sessions, or licenses?
Delivery workflow: What CI/CD, scheduling, access-control, and support requirements are non-negotiable?
That list prevents a common mistake: replacing one mobile test authoring tool with a framework or broad suite without budgeting for the workflow you lose or gain.
1. Drizz for visual evidence in mobile test runs
What it is. Drizz describes itself in its Sofy alternatives guide as a Vision AI mobile-testing platform. The vendor says users can author tests in plain English and execute them on real devices.
Who it suits. Drizz is worth evaluating if your buying priority is a mobile-focused natural-language workflow with rich evidence after a run. That is a fit assessment based on Drizz’s published product description, not an independent performance result.
Key capabilities. The same Drizz page lists screenshots, video replay, step-by-step logs, and device state among its run artifacts. Those artifacts can make a useful trial question: confirm which are retained, exportable, and available at your required plan level.
Pricing. Drizz does not show a public price on its pricing route; the route leads to a demo-booking page. Treat pricing as not publicly listed, rather than importing an estimate from a comparison site.
Where it falls short. Drizz’s public claims are vendor claims. They do not establish that its tests are less flaky than Sofy’s, that it scales further, or that its total cost is lower. Ask for a trial using your own app flows and device mix.
2. Appium for teams that want code ownership
What it is. Appium is an open-source UI-automation project and ecosystem. Its documentation explains that Appium adopted WebDriver as its API and uses platform-specific drivers. Its driver catalogue includes UiAutomator2 and XCUITest, among others.
Who it suits. Appium is a sensible Sofy alternative when your team wants to write and maintain automation code, choose its drivers, and control its execution architecture. If a managed no-code workflow is the main reason you bought Sofy, Appium is a different operating model rather than a like-for-like SaaS swap.
Key capabilities. The core value is a common WebDriver-facing API with installable drivers for the platforms you automate. That gives your engineers flexibility in language, tooling, and infrastructure choices.
Pricing. Appium is open source and its official documentation does not publish a subscription price. That does not mean your testing program is free: device access, cloud infrastructure, CI capacity, maintenance, and engineering time are separate costs.
Where it falls short. Appium does not itself provide the managed no-code workflow, bundled device-lab contract, or vendor-defined support model that you may be replacing. If you are considering both Appium and managed platforms, this guide to Appium alternatives can help you frame the framework-versus-platform decision before you run trials.
3. Repeato for public no-code, per-user pricing
What it is. Repeato’s pricing page describes a visual testing product that supports Android, iOS, and web testing across its plans.
Who it suits. Repeato fits individuals and smaller teams that want a no-code workflow and a published entry price. Its per-user billing is easier to model initially than a quote-only product when you know who needs authoring access.
Key capabilities. Repeato lists Android, iOS, and web testing on every plan. It also lists screenshot and switch-device testing, batch reports, and scheduling on Pro, while Enterprise includes continuous integration and shared-workspace features.
Pricing. The vendor lists Free at $0 forever, Basic at $70 per user per month, Pro at $120 per user per month, and Enterprise at custom pricing. The Free plan lists five Android, five iOS, and five web tests; Pro lists 240 cloud-device minutes per month. Those limits matter as much as the entry price.
Where it falls short. A $70 per-user plan is not evidence that Repeato costs less than Sofy’s $49-per-month AI-agent tier or its device-minute platform plans. Compare the number of users, cloud minutes, parallelism, device access, and reporting you need before comparing spend.
4. Autosana for mobile and web workflows with local devices
What it is. Autosana’s Sofy alternative guide presents the product as natural-language testing across iOS, Android, and web.
Who it suits. Consider Autosana if you want one natural-language workflow across mobile and web, particularly if local physical-device execution is part of your development process.
Key capabilities. Autosana says it integrates with GitHub Actions, provides a REST API, runs on local physical devices, and captures screenshots at each test step. These are useful capabilities to validate in a proof of concept, but they remain the vendor’s own description rather than independent comparative evidence.
Pricing. Autosana’s pricing page says its pricing details are being finalized. Its price is therefore not publicly listed; do not substitute a third-party estimate for a vendor quote.
Where it falls short. Public material does not establish Autosana’s self-healing accuracy, scale, or total cost relative to Sofy. Its mobile-plus-web scope is a scope difference, not proof that it is a better replacement.
5. TestBooster.ai for credit-priced web and mobile automation
What it is. TestBooster.ai describes its product as AI-powered test automation for web and mobile, with tests written in natural language. Its homepage also describes screenshots, logs, reports, and adaptation to layout changes.
Who it suits. TestBooster.ai is relevant if you want web and mobile coverage under a natural-language workflow and are comfortable evaluating credit consumption rather than committing to a seat or device-minute model.
Key capabilities. The vendor presents plain-English test creation and web and mobile coverage. It also makes speed and adaptation claims on its homepage; treat those as TestBooster.ai’s own product positioning, not as an independent benchmark against Sofy or another alternative.
Pricing. The homepage lists Basic at $0.16 per credit with 100 credits included, Pro at $0.15 per credit with 200 credits included, and a custom Enterprise plan. The dedicated pricing route is not the source for these figures, so use the homepage and confirm the current credit rules in writing.
Where it falls short. A credit is not automatically a test, a device minute, or a user. Without a vendor-published conversion for your expected workflows, you cannot fairly translate this pricing into a monthly comparison with Sofy.
6. Panto AI for agentic real-device mobile QA
What it is. Panto AI’s pricing page describes agentic mobile QA using natural-language control on 150+ real Android and iOS devices.
Who it suits. Panto AI is a candidate for teams that want real-device mobile testing, natural-language execution, and workflow features such as diagnostics and CI/CD integration.
Key capabilities. Its Scale plan lists root-cause analysis, structured reporting, Slack alerts, Appium and Maestro support, API and database integrations, one-click scheduling, and CI/CD integration. These are product-page claims that you should validate against your test suite and delivery pipeline.
Pricing. Panto lists Scale at $20 per 500 credits and Enterprise at custom pricing. The page does not provide a basis for converting 500 credits into a universal number of tests or device minutes.
Where it falls short. The public Scale plan says it tests one device at a time. That matters if you currently use Sofy’s parallel sessions. Credit pricing also makes a headline-price comparison with Sofy’s test or device-minute tiers misleading.
7. Katalon for broader testing portfolios
What it is. Katalon’s pricing page positions Katalon Studio for web, mobile, API, and desktop testing with no-code, low-code, or full-code authoring.
Who it suits. Katalon belongs on your shortlist when Sofy replacement is part of a larger testing-platform decision. It is a broader option for an estate that includes mobile apps alongside APIs, browsers, and desktop software.
Key capabilities. Katalon describes AI-assisted authoring, locator healing, release-readiness reporting, and parallel execution across its product family. Its platform breadth can reduce tool sprawl when those surfaces are genuinely in scope.
Pricing. Katalon publishes a component-based model: its pricing material lists a free option; Professional at $84 per seat per month for the first three seats when billed annually and $150 per seat per month from the fourth seat; Runtime Engine at $145 per license per month; and Mobile Devices at $158 per session per month. Enterprise pricing is custom. Your actual cost depends on which components you need.
Where it falls short. A broader suite can bring more licensing choices and administration than a team seeking only no-code mobile testing needs. Katalon’s public pages do not establish that its AI or mobile execution outperforms Sofy.
8. Quash for mobile-first testing with web and API checks
Disclosure: Quash is our product.
What it is. Quash’s public homepage describes a commercial testing platform for mobile, web, and API testing. It presents plain-language test workflows and real-device results.
Who it suits. Quash is relevant if you want a mobile-first testing workflow that can include web and API checks rather than treating mobile testing as an isolated activity. It is a fit to evaluate when you want test creation and execution in the same product without maintaining selector-heavy scripts.
Key capabilities. Quash publicly describes plain-language test creation and mobile, web, and API coverage. Confirm the device options, integration requirements, execution volume, and reporting evidence that apply to your environment during an evaluation.
Pricing. Quash has custom monthly or annual pricing rather than a published self-serve Platform tier ladder. Pricing is scoped primarily around expected test-execution volume.
Where it falls short. The public evidence used here does not establish feature-for-feature parity with Sofy’s 100+ device statement, its real-device-minute allowances, or its parallel-session tiers. It also does not establish a price or reliability advantage over Sofy. Evaluate it on your required flows rather than treating it as a proven universal replacement.
How to choose the right Sofy alternative
Start with the ownership decision. Choose Appium if maintaining automation code and infrastructure is an advantage for your team. Choose a managed platform if you need more people to create and operate tests without a framework-centered workflow.
Then separate test authoring from test execution. Natural-language or visual authoring does not tell you where tests execute, how many devices can run in parallel, or what happens when a flow fails. Ask every vendor to demonstrate the exact Android and iOS versions, device states, and login paths that matter to your release.
Next, price a representative month rather than comparing starting prices. Use your own forecast for authors, tests, devices, retries, concurrency, cloud minutes, and CI runs. For credit products, obtain a written estimate of credit consumption for a typical regression suite. For platform products, confirm whether parallel sessions, devices, and support are included or separately scoped.
Finally, make failure evidence a pass/fail requirement. A replacement is only useful if your developers can act on a failed run. During a trial, deliberately trigger a failed login, a network error, and a changed UI element. Check what the tool preserves: screenshots, video, logs, device context, and a path to reproduce the result.
Conclusion
The right Sofy alternative is not the one with the lowest apparent starting price. It is the one whose authoring model, execution environment, evidence, and commercial unit fit the way you release software.
Use Appium when you want code ownership. Put Repeato on the list when public no-code pricing matters. Trial Drizz, Autosana, TestBooster.ai, Panto AI, and Quash when natural-language testing is the direction you want to explore. Bring in Katalon when the decision spans mobile, web, APIs, and desktop. Then test each finalist against your app, device matrix, and release workflow before you migrate.
FAQs
Is Appium a direct replacement for Sofy?
Not in operating model. Appium is an open-source automation ecosystem using a WebDriver API and platform-specific drivers, while Sofy sells managed no-code products. It can be the right replacement if you want code ownership, but you must plan for engineering and infrastructure costs.
Which Sofy alternatives publish pricing?
Repeato, TestBooster.ai, Panto AI, and Katalon publish pricing information on the vendor pages cited above. Drizz and Autosana do not currently publish a public price on the pages reviewed here, while Quash uses custom pricing.
Why does Sofy have two pricing lines?
Sofy’s AI Agents No-Code line is priced by tests per month, while its No-Code Platform line includes real-device minutes and parallel sessions. Compare an alternative to the specific Sofy line you use, not to a single blended Sofy price.
Is any Sofy alternative proven to be cheaper or less flaky?
No independent head-to-head benchmark in the sources cited here establishes that conclusion. Vendor pages can establish their own features and prices, but your trial should determine cost and reliability for your applications.
What should you verify in a Sofy-alternative trial?
Verify device availability, concurrency, authoring workflow, CI/CD integration, access controls, run artifacts, and the commercial unit for your expected volume. Use representative release flows and intentionally failing scenarios so you can inspect the evidence your developers will receive.
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