A Tracekit alternative
for your whole Laravel app.

Laritor suits teams that want Laravel exception tracking, issue detection, and performance monitoring in ready-made application views. It includes recording modes, backend sessions, Pennant insights, 85+ dashboard widgets, PDF reports, and unlimited users. Tracekit is worth considering for distributed services, browser replay, dynamic runtime snapshots, LLM monitoring, product analytics, and built-in GitHub remediation.

Yes. Tracekit publishes a dedicated Composer package, tracekit/laravel-apm, that automatically traces Laravel requests, SQL, outgoing HTTP calls, queue jobs, cache, and Redis. Its guide lists PHP 8.1+ and Laravel 10, 11, and 12. Laravel native here means primarily designed for Laravel, rather than whether a tool supports it. Laritor has that primary focus; Tracekit supports multiple languages and frameworks.

Yes. Both provide grouped errors, full stack traces, source context, and related execution information. Laritor adds dedicated Laravel investigations and exception/issue recording presets. Tracekit connects errors to distributed traces, browser sessions, releases, and configured dynamic captures.

Yes. Exceptions-only retains matching executions and their related configured events. Issues-only also keeps detected slow or failed work. Full observability records all configured activity. Tracekit also supports sampling, ignored routes, feature switches, and conditional runtime captures. Equivalent ready-made whole-execution Laravel exception/issue presets are not listed. Filtered Laritor metrics describe retained activity.

Yes. Its Laravel SDK automatically traces jobs with class, queue, attempts, duration, and propagated context. Laritor adds dedicated queue wait-time and throughput insights, job investigations, configured payloads, and related recorded events. Compare a representative queued job to assess the details your team needs.

Yes. Tracekit supports custom metrics and dashboard widgets. Its paid Starter plan allows 5 dashboards, Growth 10, and Pro unlimited. Laritor includes unlimited custom dashboards and 85+ ready-made Laravel widgets. The distinction is the included Laravel widget library and plan limits, not exclusive dashboard customization.

One retained execution count drives both sides. Laritor usage multiplies executions by average related billable events, including 2 KB increments. Tracekit models one instrumented execution as one trace; internal spans and metrics are unlimited and do not multiply its trace count. The calculator chooses the lowest paid plan covering the entered traces and team members. Different instrumentation and trace boundaries can produce different actual usage.

Current monthly paid plans are Starter at $29 for 1M traces and 3 users, Growth at $99 for 10M traces and 10 users, and Pro at $299 for 50M traces and 25 users. Above those published capacities it shows Ask Tracekit for a quote. Dashboard, alert, integration, and AI-credit requirements may require a higher plan even if your volume and user count fit. Free plans and credits are excluded.

The annual option uses the public plan-card totals: $290, $990, or $2,990 per year, divided by 12 for a monthly equivalent. The exact annual amount is shown separately. It does not multiply the rounded monthly-equivalent display by 12. The public page’s rounded headings and FAQ discount statement differ, so this calculator uses the explicit annual totals. Laritor’s estimate remains monthly.

Tracekit’s public pricing FAQ says it emails at 90% quota usage and stops accepting new traces at 110%. The calculator sizes to the published allowance, without treating that grace range as included capacity or inventing automatic overage fees. For more than 50M traces it directs you to custom pricing. Confirm your account’s current limits and terms.

Laritor includes 30-day recorded-event retention. Tracekit’s paid Starter plan lists 30 days, Growth 45, and Pro 60. The calculator shows the selected plan’s history. Longer Tracekit retention can matter when investigating older incidents; the two tools may retain different kinds and amounts of data.

The calculator shows Ask for a quote strictly above $500 per month. Exactly $500 remains numeric. Laritor’s modeled plan includes 20M billable events for $20 and adds $0.20 per started 100K above that allowance. Tracekit’s quote boundary separately depends on its published trace and team capacities.

Yes. Laritor provides in-app recommendations with supported provider choices and hosted read-only exception MCP. Tracekit offers Copilot, root-cause analysis, a read-only remote MCP server, and local CLI MCP with additional alert and triage actions. Tracekit AI uses plan-specific shared credits. Review the tools, access, and data available to your chosen assistant.

No. Tracekit describes dynamic logs as bounded runtime capture points, not ingestion of every application log line. Laravel snapshot helpers and configured capture points can capture state when matching code runs. They do not recover variable values from an earlier execution that was not captured. Laritor records configured application log events inside retained execution journeys.

Laritor follows retained backend requests, configured Laravel session state, users, and custom events. Tracekit browser replay records DOM changes and interactions and can correlate them with backend traces. These answer different questions. Laritor also has dedicated Pennant feature-flag insights; equivalent automatic Laravel Pennant resources are not listed for Tracekit.

Yes. Its GitHub remediation workflow lets an authorized user start a fix from an anomaly or error trace after mapping a repository. It opens a pull request when the evidence supports a useful fix and never merges or deploys it. Laritor’s MCP gives your coding agent recorded Laravel context to investigate and prepare changes in that agent’s existing workflow.

Review every enabled collection signal before sending data. Laritor supports configured redaction, exclusions, and payload capture settings. Tracekit documents Laravel snapshot PII scrubbing, bounded captures, browser masking, and opt-in LLM prompt/completion collection. Query bindings and custom attributes can also contain sensitive data. Neither tool’s controls replace reviewing what your configuration exports.

Yes. Use a representative app or environment, compare known failures and slow work, test alerts, and measure the combined collection overhead and billed usage. Keep existing Tracekit history while Laritor records new activity; there is no documented automatic history import. Review queue workers, sampling, duplicate telemetry, and sensitive-field settings.