OpenPanel
OpenPanel ships 3.1.0 and 3.1.1 within a day of 3.0, all supporter-first builds with no notes.
Comparison · Analytics
DebugBear vs HyperDX
A side-by-side editorial comparison of DebugBear and HyperDX — release velocity, themes, recent moves, and the top alternatives to consider.
DebugBear vs HyperDX: at a glance
What is DebugBear?
DebugBear is growing out of performance testing into availability, agents, and dashboards you build yourself.
Six monthly digests show a tool widening on three fronts. Availability arrived in August with uptime monitoring, alongside Server Timing support across both lab tests and real-user monitoring and URL-based conversion triggers. Analysis tooling deepened with a bottleneck finder, HAR waterfall exports, individual chart exports, histogram and scatter charts, and custom dashboards as a first-class feature in April. And the product started addressing AI clients directly: a DebugBear MCP server for Claude, ChatGPT, and Cursor in June, preceded by a Lighthouse category for agentic browsing and prepared AI agent prompts in May.
What is HyperDX?
HyperDX now tags every ClickHouse query it runs, so teams can see which dashboard drives the load.
HyperDX ships as a monorepo of versioned packages (app, api, CLI, common-utils, collector), so one release shows up as several changelog entries. The 2.41.0 wave on October 13 adds PromQL heatmaps, a minimum auto granularity on PromQL sources, and query attribution: every ClickHouse and PromQL query carries an hdx- query_id and a JSON log_comment naming the dashboard, tile, search or alert behind it. The API also stops falling back to a public session secret, and AI assistant calls now emit OpenTelemetry GenAI-convention spans.
DebugBear vs HyperDX: editorial side-by-side
DebugBear
3.8ANALYTICS
DebugBear is growing out of performance testing into availability, agents, and dashboards you build yourself.
◆ Current state
Six monthly digests show a tool widening on three fronts. Availability arrived in August with uptime monitoring, alongside Server Timing support across both lab tests and real-user monitoring and URL-based conversion triggers. Analysis tooling deepened with a bottleneck finder, HAR waterfall exports, individual chart exports, histogram and scatter charts, and custom dashboards as a first-class feature in April. And the product started addressing AI clients directly: a DebugBear MCP server for Claude, ChatGPT, and Cursor in June, preceded by a Lighthouse category for agentic browsing and prepared AI agent prompts in May.
◆ Where it's heading
Two expansions are running at once. The first is scope — a synthetic and RUM performance tool adding uptime monitoring competes for the budget line that currently goes to a separate availability vendor, and conversion triggers push the same data toward business rather than engineering reporting. The second is who consumes the data: an MCP server means an agent pulls DebugBear results into an investigation without a human opening the dashboard, while the agentic browsing audit measures whether a site works for those agents at all. Custom dashboards sit underneath both, letting teams assemble their own views instead of accepting the built-in ones.
◆ Prediction
Expect uptime monitoring to acquire the alerting and status-reporting depth that makes it replace an incumbent rather than supplement one, since a monitor without mature alerting is only half the purchase. The digests are short enough that how the MCP server is being used is not yet visible.
HyperDX
6.3ANALYTICS
HyperDX now tags every ClickHouse query it runs, so teams can see which dashboard drives the load.
◆ Current state
HyperDX ships as a monorepo of versioned packages (app, api, CLI, common-utils, collector), so one release shows up as several changelog entries. The 2.41.0 wave on October 13 adds PromQL heatmaps, a minimum auto granularity on PromQL sources, and query attribution: every ClickHouse and PromQL query carries an hdx- query_id and a JSON log_comment naming the dashboard, tile, search or alert behind it. The API also stops falling back to a public session secret, and AI assistant calls now emit OpenTelemetry GenAI-convention spans.
◆ Where it's heading
Two threads continue: Grafana-style metrics parity (multi-expression PromQL, macros, granularity floors, now heatmaps) and controlling query cost on ClickHouse (bounded Map-key scans, now per-surface query attribution in system.query_log). Security defaults are being tightened for self-hosted deployments, and HyperDX is applying OpenTelemetry's GenAI conventions to its own AI features. The CLI keeps picking up the web app's chart types.
◆ Prediction
Expect query attribution to show up inside the product, for example per-dashboard cost views or limits, and more PromQL visualization types to catch up with the builder. The entries don't show a timeline for either.
Alternatives to DebugBear and HyperDX
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either DebugBear or HyperDX.
OpenHouse
OpenHouse starts simplifying replication by making its catalog, not Iceberg metadata, the source.
Basedash
Basedash adds view-only seats so whole departments can read dashboards without editing.
OpenReplay
OpenReplay adds offline license tokens so air-gapped installs can run licensed.
Tinybird
Tinybird switches off Classic for Free and Developer plans, leaving Forward as the only path.
OpenCTI
OpenCTI's weekly train now merges entities in the knowledge view and reads defanged IOCs.
See all DebugBear alternatives → · See all HyperDX alternatives →
Recent activity from DebugBear and HyperDX
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4d agoHyperDXHyperDX CLI 0.7.0 adds stacked-area charts
- 4d agoHyperDX@hyperdx/[email protected]
- 4d agoHyperDX@hyperdx/[email protected]
- 4d agoHyperDX@hyperdx/[email protected]
- 4d agoHyperDXHyperDX CLI 0.7.0 adds stacked-area charts
- 16d agoHyperDXHyperDX CLI 0.6.4: more precise axis ticks in terminal charts
- 1mo agoDebugBearUptime monitoring and Server Timing support arrive ⚡
- 2mo agoDebugBearBottleneck finder tool and better data export
- 3mo agoDebugBearDebugBear ships an MCP server for Claude, ChatGPT, and Cursor ⚡
- 4mo agoDebugBearAgentic browsing audits and quick performance tests
- 5mo agoDebugBearCustom performance dashboards go live
- 6mo agoDebugBearAggregate audits dashboard and code coverage in the waterfall
Frequently asked questions
What is the difference between DebugBear and HyperDX?
They serve adjacent needs but don't currently overlap on shipped themes. HyperDX is currently shipping more aggressively (velocity 6.3 vs 3.8), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is DebugBear better than HyperDX?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. HyperDX is currently shipping more aggressively (velocity 6.3 vs 3.8), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to DebugBear?
Top DebugBear alternatives in Analytics are ranked by recent ship velocity. Browse the "DebugBear alternatives" section above for the current picks, or visit /alternatives/debugbear for the full list with editorial commentary on each.
What are the best alternatives to HyperDX?
Top HyperDX alternatives in Analytics are ranked by recent ship velocity. Browse the "HyperDX alternatives" section above for the current picks, or visit /alternatives/hyperdx for the full list with editorial commentary on each.