Top 10 Alternatives to TrackJS Recently Reviewed By G2 Community
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Sentry gives you insight into the errors that affect your customers.
LogRocket combines session replay, error tracking, and product analytics – empowering software teams to create the ideal web and mobile product experience.
Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
Jira is an issue and project tracker for teams building great software. Track bugs and tasks, link issues to related code, agile planning, and monitor activity.
Dynatrace has redefined how you monitor today’s digital ecosystems. AI-powered, full stack and completely automated, it’s the only solution that provides answers, not just data, based on deep insight into every user, every transaction, across every application. The world’s leading brands trust Dynatrace to optimize customer experiences, innovate faster and modernize IT operations with absolute confidence.
New Relic is the industry's largest and most comprehensive cloud-based instrumentation platform to help customers create more perfect software.
Backlog is a project management and collaboration tool for teams designed do enable higher productivity, greater visibility, and simple project tracking.
Sumo Logic enables enterprises to build analytical power that transforms daily operations into intelligent business decisions
An open source web interface and source control platform based on Git.
LaunchDarkly is the runtime control platform for the AI era. As AI accelerates the volume and speed of change, teams face a lose-lose tradeoff: slow down to stay safe, or ship fast and risk production. LaunchDarkly moves control to where it matters most, production itself. Through CodeControl and AgentControl, LaunchDarkly gives teams the ability to progressively release changes, observe real-world impact, and instantly roll back or adapt all without redeploying. The result is speed and safety together: ship AI-built code with confidence, keep AI agents in check, and adapt in real time instead of slowing down to stay in control.