# Pie vs Qase

Pie records 11,551 monthly visits with +21.8% month-over-month growth and Contact for Pricing pricing. Qase records 319,213 monthly visits with -25.5% growth and Freemium, Free Trial, Contact for Pricing, Free pricing.

| Metric | [Pie](https://openaitools.app/tool/pie) | [Qase](https://openaitools.app/tool/qase) |
| :--- | :--- | :--- |
| Website URL | https://pie.inc | https://qase.io |
| Categories | AI Testing, AI Agent, AI Developer Tools, No-Code&Low-Code | AI Testing, AI Agent, AI Productivity Tools, AI Developer Tools |
| Pricing Model | Contact for Pricing | Freemium, Free Trial, Contact for Pricing, Free |
| Monthly Visits | 11,551 | 319,213 |
| MoM Growth Rate | +21.8% | -25.5% |
| Primary Market | United States | South Korea |
| Direct Visits | 5,132 | 246,413 |
| Review Score | 4.5 | 4.5 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Pie

Pie approaches software quality from a different angle than script-based automation. Instead of maintaining selectors and assertions, it explores your product the way a person would: it maps real user flows, looks at the screen to find elements, and exercises each change the way a customer would. Because it relies on vision rather than selectors, coverage keeps working when the interface is redesigned, and self-healing tests are the norm rather than the exception.

The platform hooks into your development workflow. It reads pull requests, runs the affected journeys before release, and reports functional and usability problems that a passing status code would hide, such as a cart badge showing one item while the cart is actually empty. When it finds a confirmed issue, Pie drafts a fix pull request with the root cause explained, so engineers review a solution instead of a bug report. Only findings that are reproduced reach you, which keeps the signal high and the noise low.

Pie runs on the surfaces where your customers actually are: iOS, Android, web, and cross-platform stacks such as React Native, Flutter and webviews. It integrates with GitHub, Slack, Jira and MCP, supports plain-English test authoring, and is built for security-conscious teams with SOC 2 Type 2 compliance and scoped access. Instead of replacing engineers, it takes the maintenance burden off manual QA so releases can move faster with more confidence.

**Pricing & Plans:** Custom pricing; the vendor asks you to book a demo for a quote. There is no published self-serve plan.

- **Vision-first autonomous discovery:** Pie maps your real user flows from a URL or build and finds elements by looking at the screen, so there are no selectors to maintain.
- **Tests every pull request:** Each PR is read and exercised against the running app, so regressions are caught before they reach users.
- **Self-healing coverage:** Tests survive redesigns and deep links because they rely on how the interface looks and behaves, not on brittle CSS or accessibility paths.
- **Automatic fix pull requests:** When Pie confirms a bug, it drafts a fix PR with the root cause and the applied change, ready for review and merge.
- **Runs across iOS, Android and web:** Coverage spans native mobile, browsers and popular cross-platform frameworks, with integrations for GitHub, Slack, Jira and MCP.

**Strengths:** No test scripts or selectors to write or maintain; Finds functional and usability bugs that assertion-based tests pass; Drafts fix pull requests instead of only filing bug reports; Covers iOS, Android and web, including cross-platform frameworks

**Limitations:** No public self-serve pricing; sales conversation required; Enterprise-oriented, so it may be heavy for very small teams; Best results depend on granting repository and app access

[Profile (Markdown)](https://openaitools.app/tool/pie.md)

## Qase

Qase is built around a simple premise: development velocity has outrun QA, and the gap shows up as bulging manual test backlogs and scattered results. The platform pulls CI pipeline output, automated test runs, and manual test execution into one system of record, so a single dashboard answers whether a release is actually safe to ship.

The headline AI capability is practical rather than cosmetic. Qase takes existing manual test cases and converts them into runnable automation scripts for frameworks such as Playwright, Cypress, and Selenium, which means the backlog of untested scenarios can shrink instead of compounding every sprint. Alongside that, requirement traceability links what was asked for to what was actually verified, and release readiness views surface pass rates, coverage gaps, blockers, and flaky tests.

Qase connects deeply with the rest of the toolchain — more than 35 integrations spanning Jira, GitHub, Slack, CI/CD pipelines, and test frameworks from Pytest to PHPUnit. More recently the team added Model Context Protocol support so AI agents can work directly with test data, and launched Tiden, a separate product that extends verification beyond the test phase to agent-written code across the development lifecycle. A free tier and trial make it easy to evaluate before committing.

**Pricing & Plans:** Freemium with a free plan and free trial, plus paid tiers for growing teams. Enterprise and high-volume API use is quoted through sales, and the companion Tiden product is priced separately.

- **Unified system of record:** Manual test cases, automated test runs, and CI pipeline results consolidate into one dashboard so there are no blind spots about coverage or pass rates.
- **Qase AI automations:** Paste a manual test case, choose a framework, and Qase generates an automation script for Playwright, Cypress, or Selenium, shrinking the manual backlog instead of growing it.
- **Requirements traceability:** Bidirectional links connect every requirement to its test cases and results, so when something breaks you can trace exactly what was verified.
- **Release readiness reports:** Pass rates, coverage gaps, blockers, and flaky-test history come together in shareable readiness views for confident go/no-go decisions.
- **35+ integrations and MCP:** Bidirectional connectors for Jira, GitHub, Slack, CI/CD pipelines, and major test frameworks, plus Model Context Protocol access for AI agents.

**Strengths:** One unified view of manual, automated, and CI test results; AI conversion of manual cases into Playwright, Cypress, or Selenium scripts; Strong requirement-to-result traceability and readiness reporting; 35+ bidirectional integrations with Jira, GitHub, Slack, and CI/CD tools

**Limitations:** Feature depth means a real ramp-up period for small teams; Advanced enterprise capabilities sit behind sales-negotiated pricing; The new AI conversion and agentic features are still maturing

[Profile (Markdown)](https://openaitools.app/tool/qase.md)

## Frequently Asked Questions

### How do Pie and Qase compare in monthly traffic?

Pie has 11,551 monthly visits, while Qase has 319,213. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Pie has a month-over-month growth rate of +21.8%; Qase has -25.5%.

### How does pricing compare?

Pie: Contact for Pricing. Custom pricing; the vendor asks you to book a demo for a quote. There is no published self-serve plan. Qase: Freemium, Free Trial, Contact for Pricing, Free. Freemium with a free plan and free trial, plus paid tiers for growing teams. Enterprise and high-volume API use is quoted through sales, and the companion Tiden product is priced separately.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Cognition's autonomous software engineer that ships real pull requests | [.md](https://openaitools.app/tool/devin.md) |
| 2 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | Offers an advanced AI-native QA agent for plain-language test authoring, but is less traditional test management-focused. | [.md](https://openaitools.app/tool/kaneai.md) |
| 3 | [Jam](https://openaitools.app/tool/jamgpt) | 570,598 | -6% | Freemium, Paid | Screen recorder that captures bugs with full technical context | [.md](https://openaitools.app/tool/jamgpt.md) |
| 4 | [ProjectDiscovery Neo](https://openaitools.app/tool/projectdiscovery-neo) | 158,530 | +22.5% | Paid, Contact for Pricing | AI security platform that finds exposures, proves they're exploitable, and ships the fix | [.md](https://openaitools.app/tool/projectdiscovery-neo.md) |
| 5 | [Katalon](https://openaitools.app/tool/katalon-studio) | 158,090 | -29.6% | Freemium, Free Trial, Paid, Contact for Pricing | Provides comprehensive test management and execution across web, mobile, and APIs, though with a heavier desktop footprint. | [.md](https://openaitools.app/tool/katalon-studio.md) |
| 6 | [TestSprite](https://openaitools.app/tool/testsprite) | 114,205 | +15.8% | Freemium | Focuses on autonomous regression test generation and execution, but offers less robust manual test case management features. | [.md](https://openaitools.app/tool/testsprite.md) |
| 7 | [testRigor](https://openaitools.app/tool/testrigor-com) | 105,865 | -2.7% | Free Trial, Contact for Pricing, Free | Excels at writing and self-healing end-to-end tests using plain English instructions, but differs from structured test case repositories. | [.md](https://openaitools.app/tool/testrigor-com.md) |
| 8 | [Momentic](https://openaitools.app/tool/momentic) | 68,819 | -15.2% | Freemium, Usage-based, Enterprise | Uses intelligent agents to run end-to-end UI tests, but lacks Qase's comprehensive manual test case management workspace. | [.md](https://openaitools.app/tool/momentic.md) |
| 9 | [Autify](https://openaitools.app/tool/autify-com) | 60,130 | +6% | Contact for Pricing | Automates web and mobile test creation and execution with AI, though less centered around manual test case organization. | [.md](https://openaitools.app/tool/autify-com.md) |
| 10 | [Shiplight AI](https://openaitools.app/tool/shiplight-ai) | 33,676 | -8.2% | Contact for Pricing | Agent-native end-to-end testing that maintains itself | [.md](https://openaitools.app/tool/shiplight-ai.md) |

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Source: https://openaitools.app/compare/pie-vs-qase

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