Wappalyzer vs Vitest Explorer
Side-by-side comparison to help you choose.
| Feature | Wappalyzer | Vitest Explorer |
|---|---|---|
| Type | Extension | Extension |
| UnfragileRank | 37/100 | 43/100 |
| Adoption | 1 | 1 |
| Quality | 0 | 0 |
| Ecosystem | 0 |
| 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 8 decomposed | 11 decomposed |
| Times Matched | 0 | 0 |
Automatically analyzes HTML, DOM, HTTP headers, and JavaScript on visited webpages to identify installed technologies by matching against a signature database of 1,700+ known frameworks, CMS platforms, libraries, and tools. Detection occurs client-side in the browser extension without sending page content to external servers, using pattern matching against known technology fingerprints (meta tags, script sources, CSS classes, HTTP headers, cookies).
Unique: Operates entirely client-side in browser extension without transmitting page content to servers, using signature-based pattern matching against 1,700+ technology fingerprints rather than machine learning classification. Detection happens on every page load automatically with zero user action required.
vs alternatives: Faster and more privacy-preserving than cloud-based tech detection services because analysis happens locally in the browser without uploading page HTML, though limited to pre-catalogued technologies versus ML-based approaches that can identify unknown tools.
Programmatic API endpoint that accepts lists of domain URLs and returns structured technology stacks for each domain, enabling batch processing of hundreds or thousands of websites for lead generation, CRM enrichment, and competitive analysis workflows. API uses credit-based rate limiting (1 credit per lookup) with tier-based monthly allowances (Pro: 5,000/month, Business: 20,000/month, Enterprise: 200,000+/month) and integrates with CRM platforms and outbound automation tools.
Unique: Integrates technology detection with third-party company/contact enrichment data in a single API response, enabling one-call CRM enrichment workflows. Credit-based rate limiting allows flexible usage patterns (burst processing) rather than strict per-second throttling, though credits expire if unused.
vs alternatives: More cost-efficient than per-request SaaS APIs for bulk enrichment because monthly credit allowances enable predictable budgeting, though less flexible than unlimited APIs for unpredictable workloads.
Subscription-based monitoring service that periodically crawls specified websites to detect changes in their technology stack (new frameworks, CMS updates, analytics tool additions, etc.) and sends notifications when changes occur. Free tier includes 5 website alerts; paid tiers require active subscription to enable ongoing monitoring beyond one-time lookups. Monitoring frequency and change detection sensitivity are not documented.
Unique: Combines periodic website crawling with change detection to identify technology stack evolution, enabling proactive competitive intelligence rather than reactive manual checking. Integrates with Wappalyzer's 1,700+ technology database to detect meaningful changes rather than generic website modifications.
vs alternatives: More targeted than generic website monitoring tools because it specifically detects technology stack changes relevant to sales/competitive intelligence, though less real-time than continuous crawling services and limited to pre-catalogued technologies.
Web application feature that builds segmented prospect lists by filtering companies based on technology stack criteria (e.g., 'companies using Shopify AND Google Analytics AND Klaviyo'). Combines Wappalyzer's technology detection database with third-party company/contact enrichment data to return filterable lists of matching companies with contact information. Lead lists are generated on-demand and exported for CRM import or outbound campaigns.
Unique: Combines technology-based filtering with company enrichment data in a single query, enabling sales teams to build highly specific prospect lists without manual research. Pricing model ties lead list generation to subscription tier (Pro: 2 targets, Business: unlimited), creating revenue incentive for upsell.
vs alternatives: More targeted than generic B2B databases because filtering is based on actual detected technology adoption rather than industry/size proxies, though less flexible than custom database queries and limited to pre-catalogued technologies.
Automatically extracts and enriches company information (size, industry, location, contact details) from detected technologies and third-party data sources when analyzing a website. When a user looks up a domain via extension, web UI, or API, results include not just technology stack but also company metadata pulled from enrichment databases, enabling single-lookup CRM enrichment without separate company data queries.
Unique: Bundles technology detection with company enrichment in single API response, eliminating need for separate company data lookups. Leverages technology stack as a signal for company profiling (e.g., enterprise tech stack suggests larger company) rather than treating detection and enrichment as separate operations.
vs alternatives: More efficient than separate technology and company data API calls because single lookup returns both datasets, though enrichment data quality depends on third-party sources and may be less comprehensive than dedicated B2B database providers like Apollo or ZoomInfo.
Mobile app version of Wappalyzer for Android devices that enables technology detection on websites visited via mobile browser. Feature parity with browser extension is limited — documentation indicates 'Plus features extend single-website research...in the Android app' suggesting reduced functionality compared to web/extension versions. Enables mobile-first sales teams to identify technologies while browsing on smartphones.
Unique: Extends Wappalyzer's technology detection to mobile context where desktop extensions are unavailable, enabling sales teams to research prospects during calls or field visits. Mobile app architecture likely uses simplified detection logic or server-side processing due to mobile device constraints.
vs alternatives: Only mobile-native technology detection app available, though feature parity with desktop version is unclear and likely reduced due to mobile platform limitations.
Direct integrations with CRM platforms (specific platforms not documented) that enable one-click technology enrichment of contact records without leaving the CRM interface. Integration likely uses Wappalyzer API to fetch technology data for company domain and populate custom CRM fields with detected technologies, versions, and categories. Enables sales teams to enrich records during prospect research workflows.
Unique: Embeds Wappalyzer technology detection directly into CRM workflows, eliminating context-switching between CRM and external tools. Integration likely uses CRM native APIs (Salesforce Flow, HubSpot workflows) to trigger enrichment on record creation or manual action.
vs alternatives: More seamless than manual API calls or third-party enrichment tools because enrichment happens within CRM interface, though integration availability depends on CRM platform support and specific platforms not documented.
Wappalyzer maintains a continuously-updated database of 1,700+ technology signatures (fingerprints for frameworks, CMS, analytics tools, programming languages, etc.) that enables detection across all products. Signatures include patterns for HTML meta tags, script sources, CSS classes, HTTP headers, cookies, and other detectable artifacts. Database is updated to add new technologies and refine existing signatures as tools evolve, though update frequency and community contribution model are not documented.
Unique: Centralized signature database enables consistent technology detection across all Wappalyzer products (extension, web UI, API, mobile app) without duplicating detection logic. Signatures are pattern-based rather than ML-driven, enabling deterministic detection without model training overhead.
vs alternatives: More maintainable than distributed detection logic because signatures are centralized and versioned, though less flexible than ML-based detection that can identify unknown technologies without explicit signatures.
Enables one-click test execution directly from the editor gutter by clicking status icons next to individual test cases. Integrates with VS Code's TestController API to invoke Vitest's test runner for the specific test, displaying results inline within 1-2 seconds. The gutter icon reflects real-time test state (passed/failed/skipped/queued) and updates as the file is edited.
Unique: Uses VS Code's native TestController API (official testing framework) to register individual test cases as discoverable items in the Testing sidebar and gutter, avoiding custom test parsing and enabling deep IDE integration with native status icons and context menus.
vs alternatives: Faster than terminal-based test execution (no context switch) and more discoverable than Jest/Mocha extensions that require manual test file navigation, because test cases are automatically indexed and displayed inline.
Runs all tests in a workspace or filtered subset via toolbar commands and filter UI in the Testing view. Supports filtering by test name, exclusion patterns, or tags; execution is orchestrated through Vitest's CLI with arguments passed via the TestController API. Results are aggregated and displayed hierarchically in the Testing sidebar with pass/fail counts and execution duration per file.
Unique: Leverages Vitest's native filtering and CLI argument passing through TestController to avoid re-implementing filter logic; the extension acts as a UI layer over Vitest's existing capabilities rather than adding custom filtering.
vs alternatives: More flexible than Jest extensions because Vitest's filter syntax is more powerful (supports glob patterns and tag-based filtering), and the extension respects the full Vitest config rather than imposing its own filter model.
Vitest Explorer scores higher at 43/100 vs Wappalyzer at 37/100.
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Maintains real-time synchronization of test status indicators (passed/failed/skipped/queued/not-executed) across the gutter icons, Testing sidebar, and status bar. When a test is executed or a file is modified, the extension updates all status indicators within milliseconds. Status is derived from Vitest's test result events and persisted in memory for the session.
Unique: Synchronizes status across multiple UI surfaces (gutter, sidebar, status bar) using a single state model, ensuring consistency and reducing redundant updates compared to independent status tracking per UI element.
vs alternatives: More responsive than Jest extensions because Vitest's event-driven architecture provides immediate status updates, and the extension leverages TestController's native status model rather than custom status tracking.
Enables continuous test execution that automatically re-runs affected tests when source or test files change. The extension monitors the workspace file system via VS Code's FileSystemWatcher API and invokes Vitest's watch mode, which intelligently determines which tests to re-run based on dependency analysis. Results update in real-time in the gutter and Testing sidebar without user intervention.
Unique: Delegates watch mode orchestration to Vitest's native watch implementation rather than implementing custom file monitoring and test selection; the extension only manages the UI state and result display, reducing complexity and ensuring consistency with Vitest's behavior.
vs alternatives: More efficient than Jest watch mode because Vitest uses Vite's dependency graph for smarter test selection, and the extension integrates directly with VS Code's file system watcher for lower latency than polling-based alternatives.
Enables debugging of individual tests directly from the editor using VS Code's built-in Node.js debugger. Developers can set standard breakpoints, conditional breakpoints, logpoints, and triggered breakpoints in test code; clicking the debug icon in the gutter launches the test under the debugger. The extension configures the debug session to attach to Vitest's Node.js process and maps source maps for TypeScript/JSX support.
Unique: Integrates with VS Code's native Node.js debugger and TestController API to automatically configure debug sessions for Vitest, avoiding the need for manual launch.json configuration or custom debug adapters.
vs alternatives: Simpler than Jest debugging because Vitest's Vite-based architecture provides better source map support out-of-the-box, and the extension eliminates manual debugger setup compared to CLI-based debugging workflows.
Collects code coverage metrics during test execution and displays coverage data in the editor via VS Code's built-in coverage UI (available in VS Code 1.88.0+). The extension invokes Vitest with coverage flags and parses the coverage report; uncovered lines are highlighted in the editor gutter, and coverage percentages are shown in the Testing sidebar. Supports multiple coverage providers (c8, istanbul, v8) configured in vitest.config.ts.
Unique: Leverages VS Code 1.88.0+'s native coverage UI (CoverageProvider API) to display coverage without custom UI components; the extension parses Vitest's coverage output and maps it to VS Code's coverage model.
vs alternatives: More integrated than Jest coverage tools because VS Code's native coverage UI is built-in and doesn't require third-party extensions, and Vitest's coverage collection is faster due to Vite's optimized instrumentation.
Displays all discovered tests in a hierarchical tree structure in the Testing sidebar, organized by file and test suite (describe blocks). Each test case shows its current status (passed/failed/skipped/queued/not-executed) with a colored icon; clicking a test navigates to its definition in the editor. The tree is updated in real-time as tests are executed or files are modified, and supports expanding/collapsing suites for navigation.
Unique: Uses VS Code's TestController API to register test items hierarchically, enabling native sidebar rendering and context menu integration without custom UI components; the tree structure is automatically derived from Vitest's test discovery.
vs alternatives: More discoverable than CLI-based test listing because the sidebar provides persistent, interactive navigation, and the tree structure mirrors the actual test organization rather than flat output.
Captures console.log, console.error, and other console output from test execution and displays it inline in the editor next to the relevant code lines. Logpoints (breakpoints that log without pausing) are also supported; when a logpoint is hit, the logged value is displayed inline. Output is aggregated per test and accessible via the Testing sidebar's 'Show Output' command for full test logs.
Unique: Integrates console output capture directly into the TestController's result reporting, displaying output inline via VS Code's CodeLens API rather than requiring separate output panel navigation.
vs alternatives: More convenient than Jest output because inline display eliminates context switching to the Output panel, and logpoints are native to VS Code's debugger rather than requiring custom logging setup.
+3 more capabilities