grafana open source analysis

The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

Project overview

⭐ 70845 · TypeScript · Last activity on GitHub: 2025-11-16

GitHub: https://github.com/grafana/grafana

Why it matters for engineering teams

Grafana addresses the practical challenge of consolidating and visualising metrics, logs, and traces from diverse data sources in a single, coherent dashboard. It is particularly suited to engineering teams focused on monitoring, alerting, and business intelligence, such as DevOps engineers, site reliability engineers, and data analysts. As a mature and production ready solution, Grafana is widely adopted in real-world environments where reliability and extensibility are critical. However, it may not be the right choice for teams seeking a simple out-of-the-box dashboarding tool without the need for extensive configuration or those preferring fully managed cloud services over a self hosted option for observability.

When to use this project

Grafana is a strong choice when teams require a flexible, open source tool for engineering teams to visualise and analyse metrics from multiple sources. Consider alternatives if your primary need is a lightweight or single-purpose dashboard without integration complexity or if you prefer a fully managed monitoring platform.

Team fit and typical use cases

DevOps engineers and SREs benefit most from Grafana by using it to build custom dashboards that aggregate data from Prometheus, Elasticsearch, and other sources. Data analysts also use it to explore business intelligence metrics. It commonly appears in products requiring detailed monitoring and alerting, such as cloud infrastructure platforms and complex microservices architectures.

Topics and ecosystem

alerting analytics business-intelligence dashboard data-visualization elasticsearch go grafana hacktoberfest influxdb metrics monitoring mysql postgres prometheus

Activity and freshness

Latest commit on GitHub: 2025-11-16. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.