Generate beautiful, customizable performance reports from JMeter, Locust, and other testing tools.
JtlReporter is an open-source application that generates beautiful, customizable performance reports from tools like JMeter (Taurus) and Locust. It helps teams visualize test results, compare runs, and detect performance regressions by processing JTL/CSV files or streaming live test data. The tool transforms raw metrics into easy-to-understand insights for better decision-making.
Performance engineers, QA teams, and developers who run load tests with JMeter, Locust, or similar tools and need clear, actionable reporting. It's ideal for teams managing continuous performance testing pipelines.
JtlReporter offers a self-hosted, customizable alternative to proprietary reporting tools, with features like regression alerts and test comparisons. Its focus on visual clarity and actionable insights helps teams quickly identify performance issues without deep data analysis expertise.
JtlReporter is an online application that allows users to generate beautiful, customizable and easy to understand performance reports from JMeter(Taurus), Locust, and other tools.
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Transforms raw JTL/CSV files into comprehensive visual reports with charts and insights, making performance data easily digestible for teams.
Allows continuous data streaming from test runs, enabling live monitoring and immediate analysis during long tests, as highlighted in the features.
Automatically alerts on performance degradations through regression alerts, helping teams spot issues early without manual data digging.
AGPL licensing permits self-hosting and code modification, giving teams full control over data privacy and report customization, per the documentation.
Requires Docker and Docker Compose for installation, which adds setup complexity and may not fit all infrastructure environments.
Collects analytics by default using Mixpanel; users must manually set OPT_OUT_ANALYTICS to true, which could be overlooked and raise privacy concerns.
Split into separate backend, frontend, listener, and scheduler repos, increasing deployment and maintenance effort compared to monolithic tools.