Inspector Alternatives

Visualizes code execution as a flowchart, detecting errors and bottlenecks in real-time, and suggesting AI-driven code improvements for optimization.
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Airbrake

If you're looking for a different Inspector alternative, Airbrake is a good choice. It offers real-time alerts and error tracking, letting you see how errors are related to deployments so you can improve your code. It supports multiple programming languages and integrates with GitHub, Slack and other tools, so it's a good choice for error monitoring and performance monitoring.

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Raygun

Another contender is Raygun. Raygun offers real-time performance monitoring, crash reporting and AI-assisted error resolution. It offers detailed diagnostic data and integrates with Jira and GitHub and other tools, so it's a good choice for monitoring and debugging web and mobile apps.

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N|Solid

If you're interested in a more specialized Node.js focus, N|Solid is worth a look. It offers real-time visibility into Node.js app performance and security, including an AI-powered Node.js copilot and observability tools. N|Solid is designed for high-traffic environments and offers a variety of pricing tiers, including on-premises options.

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Datadog

Last, Datadog is an all-purpose monitoring and security tool that offers real-time insights into performance, security and user experience across many stacks and infrastructure. With its broad feature set and integrations, Datadog is a good choice for companies that want to monitor and optimize their entire technology stack.

More Alternatives to Inspector

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EverSQL

Optimizes PostgreSQL and MySQL database performance with automatic SQL query rewriting, ongoing performance insights, and cost reduction recommendations.

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Rollbar

Get immediate alerts for all errors, including unhandled exceptions, with real-time error tracking.

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Firebase Crashlytics

Identify and resolve app crashes quickly with real-time monitoring and AI-powered insights that prioritize issues by user impact.

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Metabob

Analyzes codebases to find and automatically fix complex problems, improving code quality and reliability, with features for security scanning and debugging.

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Flytrap

Automatically captures and contextualizes front-end and back-end errors, providing instant bug reproduction and detailed context for fast debugging.

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Kodezi

Automates code debugging, optimization, and documentation, freeing developers to focus on high-level work and delivering higher-quality code faster.

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Honeycomb

Combines logs and metrics into a single workflow, with AI-powered query assistance, to quickly identify and resolve problems in distributed services.

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Codiga

Provides real-time, customizable static code analysis and automated code reviews to help developers write better code and maintain good practices.

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Bugpilot

AI-assisted debugging helps you understand error messages and find fixes, alongside features like user-friendly error pages and reliable session recordings.

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LogRocket

Pinpoint technical and UX problems, measure their impact, and replay sessions to see what went wrong, with AI-surfaced high-impact issues.

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Replay

Record and replay app sessions for instant reproducibility, enabling faster debugging and troubleshooting of bugs and flaky tests.

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SmartBear

Streamline software development, testing, and monitoring with a range of tools that improve app quality, scalability, and user experience.

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AppOptics

Gain full-stack visibility into application and infrastructure performance with auto-instrumented topology maps, pinpoint root cause analysis, and unified metrics.

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Bito

Automate coding tasks with AI-powered tools, including code reviews, chat help, and code completions, to boost productivity and improve code quality.

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Avo

Ensure data quality upstream with immediate visibility, collaborative schema management, and fast implementation to build better user experiences.

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Dashcam

Record and replay steps-to-reproduce for better bug resolution, with synchronized log and network capture, and automatic error detection.

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Aide

Provides fast and context-aware code completions, intelligent suggestions, and chat-based Q&A, all while ensuring code privacy and security.

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Synthetic Monitoring

Automates testing and monitoring of application availability and performance, simulating user behavior to proactively identify issues and optimize digital experience.

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Bird Eats Bug

Automatically generates detailed bug reports with technical logs, screen recordings, and system information, streamlining the debugging process for developers.

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SQLAI.ai

Automate complex SQL and NoSQL query tasks, generate, optimize, fix, and explain queries with high accuracy, and gain data insights without writing code.