Self-hostable observability platform for logs, metrics, traces, RUM and LLM monitoring, built in Rust and positioned as an alternative to Datadog and Splunk.
22.4K1.1KTypeScriptAGPL-3.0Updated 2 days ago
- Stars
- 9,963
- Forks
- 500
- Open issues
- 244
- Last commit
- 1 hour ago
What is it?
HyperDX is an observability platform that helps engineers find the cause of production issues by searching and visualizing logs and traces stored in a ClickHouse cluster. It works with an existing ClickHouse schema and is built around OpenTelemetry for collecting telemetry, so it can be used with applications instrumented by standard OpenTelemetry SDKs.
The interface combines full-text search with a property search syntax such as level:err, with optional raw SQL. Users can build dashboards, set alerts, live tail logs and traces, and correlate session replays with backend data. It also covers application performance monitoring from HTTP requests to database queries.
HyperDX can be run as a single Docker container for local testing, deployed against an existing ClickHouse instance, or used with ClickHouse Cloud. A command-line tool, @hyperdx/cli, provides a terminal UI and scriptable access to the same data.
Key features
- 01Search and correlate logs, traces, metrics, session replays and errors in one place.
- 02Property search syntax with optional raw SQL on any ClickHouse schema.
- 03Dashboards and alerts built without a complex query language.
- 04Live tail for logs and traces.
- 05Native OpenTelemetry ingestion with SDKs for browser, Node.js and Python.
- 06Terminal UI and CLI for querying HyperDX data.
Use cases
- Diagnosing production errors by jumping from a session replay to the backend logs and traces behind it.
- Running a self-hosted observability stack on an existing ClickHouse cluster.
- Monitoring application performance from HTTP requests down to database queries.
- Querying telemetry from scripts or AI agents through the CLI.
Quick start
- 1
Start the all-in-one HyperDX container with Docker
docker run -p 8080:8080 -p 4317:4317 -p 4318:4318 docker.hyperdx.io/hyperdx/hyperdx-all-in-one - 2
Open http://localhost:8080 in your browser to access the UI
Things to know
- Recommends at least 4GB of RAM and 2 cores for testing.
- Full deployment bundles ClickHouse, OpenTelemetry Collector and MongoDB, so self-hosting takes operational effort.
Topics
FAQ
- What is hyperdx?
- Open-source observability platform for searching and visualizing logs, traces, metrics, session replays and errors on top of ClickHouse. HyperDX is an observability platform that helps engineers find the cause of production issues by searching and visualizing logs and traces stored in a ClickHouse cluster. It works with an existing ClickHouse schema and is built around OpenTelemetry for collecting telemetry, so it can be used with applications instrumented by standard OpenTelemetry SDKs.
- Is hyperdx free to use? What license does it have?
- hyperdx is open source under the MIT license. Check the license terms before using it in commercial products.
- Is hyperdx still maintained?
- Actively maintained. The last commit to hyperdx was on Oct 22, 2026.
- What can I use hyperdx for?
- Diagnosing production errors by jumping from a session replay to the backend logs and traces behind it. Running a self-hosted observability stack on an existing ClickHouse cluster. Monitoring application performance from HTTP requests down to database queries. Querying telemetry from scripts or AI agents through the CLI.
- How do I install hyperdx?
- Start the all-in-one HyperDX container with Docker: docker run -p 8080:8080 -p 4317:4317 -p 4318:4318 docker.hyperdx.io/hyperdx/hyperdx-all-in-one Open http://localhost:8080 in your browser to access the UI
- Where can I get hyperdx?
- The source code and installation instructions are on GitHub: https://github.com/hyperdxio/hyperdx
Summary generated by AI from the project's README. GitHub stats refresh daily.
Related projects
Open-source fullstack monitoring platform combining session replay, error monitoring, logs and traces, self-hostable via Docker.
9.4K690TypeScriptOtherUpdated yesterday
Datadog's open-source agent that collects metrics, logs, traces and profiles from hosts and sends them to the Datadog platform.
3.8K1.5KGoApache-2.0Updated yesterday
Self-hosted observability backend that accepts logs, metrics, traces and profiles and serves them through Loki, Prometheus, Tempo and Pyroscope compatible APIs.
1.7K103GoAGPL-3.0Updated 2 days ago
Open-source observability and APM tool that uses eBPF to collect metrics, logs, traces and profiles, with AI-assisted root cause analysis.
8K408GoApache-2.0Updated 2 days ago
Open-source, OpenTelemetry-native observability platform that brings logs, metrics, traces, alerts and dashboards into one self-hostable tool.
32.4K2.5KTypeScriptOtherUpdated yesterday