hyperdxio/hyperdx
Resolve production issues, fast. An open source observability platform unifying session replays, logs, metrics, traces and errors powered by ClickHouse and OpenTelemetry. observed · 2026-10-17
Health v2 · maintenance only
92/100
- Activity 100
- Release rhythm 87
- Longevity 81
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 0.0
- age_days: 1134
- days_rel: 7
- days_push: 4
- n_releases_24m: 231
Adoption not part of the score
9949 stars · 494 forks observed · 2026-10-17
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
HyperDX is an open-source observability platform that unifies session replays, logs, metrics, traces, and errors in a single interface, built on ClickHouse and OpenTelemetry. It helps engineers search and visualize production telemetry quickly, functioning like 'Kibana for ClickHouse' and serving as a core component of ClickStack.
Use cases
- search and correlate logs, traces, and metrics in one place
- debug production errors by linking session replays to backend traces
- self-host a Datadog alternative for application monitoring
- set up alerts and dashboards over high-cardinality telemetry
- live tail logs and traces from production services
- monitor APM health from HTTP requests to database queries
- ingest OpenTelemetry data from Node.js, Python, Go, Java apps
When to choose
- you want a self-hosted, cost-effective alternative to Datadog or Kibana
- your telemetry already lives in ClickHouse or you want ClickHouse-backed storage
- you need end-to-end correlation of frontend session replays with backend logs and traces
- you want OpenTelemetry-native ingestion with automatic instrumentation
- you need fast full-text and property search over terabytes of logs
When to avoid
- you need a fully managed SaaS with zero infrastructure to run
- you don't use or want to operate ClickHouse and its dependencies (MongoDB, OTel Collector)
- you require deep non-observability features like CI/CD or security monitoring
- your team relies on vendor-specific features from established APM providers
Facets
application · maturity active
monitoring alerting logging tracing analytics search-engine data-visualization self-hosted monitoring analytics self-hosted developer-tools self-hosted observability opentelemetry clickhouse session-replay apm log-management dashboards datadog-alternative clickstack devops docker kubernetes web-server nodejs typescript
10 sources
- readme: https://github.com/hyperdxio/hyperdx · fetched 2026-10-17 · 6b795a2dcfd5
- homepage: https://hyperdx.io/ · fetched 2026-08-29 · d5e39eff7169
- site_page: https://www.hyperdx.io/docs · fetched 2026-08-29 · 00f2dc40177e
- site_page: https://www.hyperdx.io/docs/install/javascript · fetched 2026-08-29 · afe3064e8d5b
- site_page: https://www.hyperdx.io/docs/install/browser · fetched 2026-08-29 · 2f1af74fe657
- site_page: https://www.hyperdx.io/docs/install/python · fetched 2026-08-29 · 2554055d1d60
- site_page: https://www.hyperdx.io/docs/install/java · fetched 2026-08-29 · c30cf64d852d
- site_page: https://www.hyperdx.io/docs/install/golang · fetched 2026-08-29 · e453a73013e5
- site_page: https://www.hyperdx.io/docs/install/elixir · fetched 2026-08-29 · f6a7cebc6b32
- site_page: https://www.hyperdx.io/pricing · fetched 2026-08-29 · fc2967932bc7
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| hyperdxio/hyperdx | main | 92 |
For agents
markdown · JSON · MCP: product_card(name="hyperdxio/hyperdx")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem