
LogRocket
Session replay & error tracking
LogRocket is a session replay and product analytics platform with pixel-perfect recordings, JavaScript error reporting, and AI-powered struggle detection for understanding user behavior.
By Louis Corneloup · Updated Discover the best free debugging software. No credit card required. 2 completely free tools and 13 with generous free tiers.
| Tool | Type | Rating | Best for |
|---|---|---|---|
| LogRocket | Free Tier | 4.7(2,320) | Session replay & error tracking |
| Rollbar | Free Tier | 4.4(404) | Real-time error tracking and debugging |
| Sentry | Free Tier | 4.5(265) | Application monitoring & error tracking |
| Mint CI | Free Tier | 4.7(140) | The entirely new way to write and run CI/CD workflows for high-velocity teams. |
| Papertrail | Free Tier | 4.6(103) | Real-time log aggregation and analysis for DevOps |

Session replay & error tracking
LogRocket is a session replay and product analytics platform with pixel-perfect recordings, JavaScript error reporting, and AI-powered struggle detection for understanding user behavior.

Real-time error tracking and debugging
Rollbar monitors errors across stack and platforms. Error tracking with real-time alerting-catch problems before users report them. The grouping is intelligent. The real-time helps. The platform coverage is broad. Development teams monitoring production use Rollbar for comprehensive error tracking.

Application monitoring & error tracking
Sentry is an application monitoring platform providing error tracking, performance tracing, session replay, and uptime monitoring with event-based pricing for development teams of all sizes.

The entirely new way to write and run CI/CD workflows for high-velocity teams.
Mint CI by RWX is a modern CI/CD platform designed to accelerate development cycles by optimizing build and deployment processes. It moves beyond traditional sequential CI systems by leveraging DAG-based execution with true parallelization, ensuring that only necessary tasks are rebuilt and executed. This approach significantly reduces build times and minimizes wasted compute resources. This platform is ideal for engineering teams seeking to improve efficiency, reduce CI wait times, and gain better control over their build environments. It offers fine-grained resource allocation per task, allowing users to specify CPU and memory requirements, and bills by the second for cost-effectiveness. Mint CI also provides robust debugging capabilities, including SSH access into running tasks and rich observability, making it easier for engineers to diagnose and resolve issues quickly. It integrates seamlessly into existing development workflows, supporting local iteration and remote debugging. Beyond core CI/CD, Mint CI includes advanced test suite management features. It can automatically detect, quarantine, and track flaky tests, enabling teams to maintain shipping velocity while addressing underlying issues. The platform's intelligent caching mechanism reuses results based on filesystem contents, further speeding up subsequent runs and reducing redundant work.

Real-time log aggregation and analysis for DevOps
Papertrail aggregates logs from servers, apps, and cloud services for troubleshooting and monitoring. DevOps teams search and analyze logs in real-time with instant alerts on patterns. The platform simplifies log management with minimal setup required.

See your code in action, across any environment, with AI-powered runtime debugging.
Lightrun is a developer observability platform that provides real-time, line-level code context across the entire Software Development Life Cycle (SDLC). It supercharges IDEs and AI Agents by allowing developers to debug and remediate software issues autonomously, powered by live runtime data. The platform enables engineers to add dynamic logs, metrics, and snapshots to live applications without stopping, redeploying, or modifying code. Lightrun is designed for engineering teams that need to quickly pinpoint and resolve issues in complex, distributed environments, including production. It helps reduce Mean Time To Resolution (MTTR) by providing immediate visibility into application behavior, even for elusive bugs that only appear in specific environments. The tool integrates directly into popular IDEs like IntelliJ and Visual Studio Code, offering a seamless debugging experience for cloud-native, on-premise, containerized, and serverless applications.

Error monitoring and performance tracking for applications
Airbrake catches errors in your application before users complain about them. When something breaks in production, you get notified immediately with the full context needed to debug. Stack traces show exactly where failures occurred. Deployment tracking identifies which releases introduced problems. Aggregation groups related errors so you're not drowning in duplicate alerts. Production debugging without error monitoring is archaeology-piecing together what happened from incomplete logs. Airbrake gives you the complete picture in real time.

Open-source Kubernetes observability for developers with auto-instrumentation and scriptable debugging.
Pixie is an open-source Kubernetes monitoring and application debug platform designed for developers. It provides deep visibility into Kubernetes clusters by automatically collecting metrics, events, traces, and logs without requiring any code changes, leveraging dynamic eBPF probes. This allows developers to debug applications and infrastructure directly within their Kubernetes environment. The platform offers a CLI for health checks and charts, enabling developers to stay within their workflow, and a 'Live' interface for navigating data. A key feature is its scriptability, allowing users to run and share custom or community-contributed PXL scripts for debugging. Pixie is Kubernetes-native, meaning it runs entirely within the cluster and does not store customer data externally, addressing concerns about data egress and cost associated with off-cluster telemetry. It supports various Kubernetes distributions like Minikube, EKS, GKE, AKS, and self-managed clusters.

The AI gateway with built-in observability for LLM applications.
Keywords AI is an LLM monitoring platform designed for AI startups and developers. It provides a unified developer platform for building, testing, monitoring, analyzing, and optimizing large language model (LLM) applications. The platform allows users to route, trace, evaluate, and debug every LLM request with minimal code changes, offering a single interface for various LLMs and bypassing rate limits for scalable operations. This tool is ideal for developers and teams working on LLM-powered products, from initial MVP to full production. It streamlines the LLM development lifecycle by offering features like a unified API endpoint, prompt management with A/B testing, pre-built dashboards for monitoring LLM metrics, and tools for collecting datasets to fine-tune models. Keywords AI aims to simplify the complexities of LLM infrastructure and observability, enabling faster development and better performance optimization.

AI-powered session replays, error tracking, and analytics for optimizing user experience.
Zipy is an AI-driven platform designed to help engineering, product, and marketing teams understand user behavior, detect errors, and optimize conversions. It provides AI-powered session replays that automatically identify and prioritize UI bugs and user frustration points, eliminating the need to manually sift through countless recordings. The platform translates technical errors into user-facing messages, making issues understandable for both technical and non-technical teams. Beyond session replays, Zipy offers robust error tracking capabilities, capturing frontend JavaScript errors and API failures across various frameworks like React, Angular, and Vue.js. It provides real-time monitoring, smart alerts, and detailed context for debugging, allowing teams to quickly identify, prioritize, and resolve issues. By unifying user session replay, frontend, and network monitoring, Zipy aims to accelerate growth by proactively addressing user experience problems and improving debugging efficiency.

Self-hostable session replay and product analytics for understanding user behavior and troubleshooting issues.
OpenReplay offers a comprehensive platform for digital experience analytics, combining session replay with product analytics. It allows users to see exactly how customers interact with their applications, identifying friction points, understanding user behavior, and troubleshooting issues faster. The platform captures every click, scroll, and interaction, along with technical details like console logs, network activity, and state changes, enabling teams to debug and resolve problems efficiently. Beyond debugging, OpenReplay provides product analytics features such as funnels, user journeys, trends, and heatmaps to help product teams understand user engagement, measure the impact of changes, and prioritize development. A key differentiator is its self-hosting capability, which gives organizations complete control over their customer data, ensuring privacy and compliance with strict regulatory standards. It's designed for engineering, product, customer support, and design teams looking to improve their digital products.

Accelerate product decisions with comprehensive analytics, session replays, and developer tools.
LiveSession is a product analytics platform designed to help product teams, designers, developers, UX researchers, and marketers understand user behavior and make data-driven decisions. It combines qualitative insights from high-quality session replays with quantitative data from custom metrics, funnels, and dashboards. The platform allows users to track key performance indicators, analyze user journeys, identify pain points, and debug issues efficiently. With features like heatmaps, clickmaps, console logs, and network requests, LiveSession provides a holistic view of user interactions and application performance. It emphasizes a privacy-first approach, offering automatic anonymization of sensitive data and compliance with GDPR and CCPA standards. LiveSession aims to foster continuous product discovery and empower all team members to act on product data, ultimately leading to better products, improved user experience, and increased conversions across various industries.

An online code playground for quickly testing and sharing HTML, CSS, and JavaScript snippets.
JSFiddle is a popular online code editor that allows developers to write, test, and share front-end code snippets directly in their web browser. It supports HTML, CSS, and JavaScript, along with various pre-processors like HAML, SCSS, SASS, and PostCSS, and a wide array of JavaScript frameworks and libraries such as jQuery, React, Vue, Angular, D3, and many more. This makes it an invaluable tool for rapid prototyping, debugging, and demonstrating web development concepts without the need for a local development environment. The platform offers features like live code validation, auto-save, hot reloading for CSS and HTML, and code autocompletion with contextual awareness. Recent updates include a switch to the Monaco editor (used in VSCode) for an enhanced editing experience, AI code completion (beta) powered by the Codestral model, and a CSS Flexbox generator. JSFiddle is ideal for front-end developers, educators, and anyone looking to quickly experiment with web technologies or share runnable code examples.

Error monitoring with diagnostic data for debugging
Bugsnag captures errors from your applications with the context needed to fix them. Not just stack traces-user steps, device info, deployment details, and whatever custom data helps understand what went wrong. Stability metrics show overall application health. Alerts prevent drowning in notifications. Integrations create issues in your project tracker. Development teams who need error monitoring that surfaces actionable information use Bugsnag to find and fix bugs before users complain.

Open source session replay and monitoring
Highlight.io is an open-source fullstack monitoring platform that combines session replay, error monitoring, log management, and distributed tracing in a single tool. Built on OpenTelemetry and ClickHouse, it lets developers see exactly what users experienced when an error occurred by replaying browser sessions alongside backend logs and traces. Highlight supports React, Next.js, Angular, Vue, Node, Rails, Go, and other frameworks. It offers both cloud-hosted and self-hosted deployment options with SOC 2, HIPAA, and ISO compliance, making it suitable for teams that need observability without vendor lock-in.
Free debugging tools are an excellent way to get started without financial commitment. Whether you're a startup, freelancer, or small business, these tools offer essential features at no cost.
Completely free with no paid upgrades available. Best for simple, focused workflows that don't require advanced features.
Generous free tier with optional paid plans that unlock advanced features, higher limits, or team collaboration.
Last updated: July 14, 2026