OpenPanel
OpenPanel ships 3.1.0 and 3.1.1 within a day of 3.0, all supporter-first builds with no notes.
A side-by-side editorial comparison of DebugBear and Holistics — release velocity, themes, recent moves, and the top alternatives to consider.
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.
Holistics is pulling analysis out of Explore and onto the dashboard itself.
In one week Holistics shipped AI Tasks (reusable, scheduled AI jobs), AI Block narratives on dashboards, file attachments in AI chat, and Cost Analytics for AI spend. Since then it has reworked AI dashboard building in Reporting, added an HTML layout beta, and let viewers add reference and trend lines to dashboard charts without opening Explore. On October 14 the Development workspace replaced its Production/Development mode switch with a branch selector.
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.
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.
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.
In one week Holistics shipped AI Tasks (reusable, scheduled AI jobs), AI Block narratives on dashboards, file attachments in AI chat, and Cost Analytics for AI spend. Since then it has reworked AI dashboard building in Reporting, added an HTML layout beta, and let viewers add reference and trend lines to dashboard charts without opening Explore. On October 14 the Development workspace replaced its Production/Development mode switch with a branch selector.
AI is moving from a chat assistant to recurring work inside BI, with cost monitoring added because usage is expected to grow. The dashboard is becoming the working surface: chart state is remembered, layouts open up to HTML, and lightweight analysis happens in place. On the modeling side, workflows are converging on plain Git concepts.
Trend lines were described as "the next analysis" after reference lines, so more in-dashboard analyses (forecasts or comparisons) are likely next. AI Tasks should gain delivery targets and further cost controls.
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 Holistics.
OpenPanel ships 3.1.0 and 3.1.1 within a day of 3.0, all supporter-first builds with no notes.
OpenHouse starts simplifying replication by making its catalog, not Iceberg metadata, the source.
Basedash adds view-only seats so whole departments can read dashboards without editing.
OpenReplay adds offline license tokens so air-gapped installs can run licensed.
Tinybird switches off Classic for Free and Developer plans, leaving Forward as the only path.
OpenCTI's weekly train now merges entities in the knowledge view and reads defanged IOCs.
See all DebugBear alternatives → · See all Holistics alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Holistics is currently shipping more aggressively (velocity 7.5 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Holistics is currently shipping more aggressively (velocity 7.5 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.
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.
Top Holistics alternatives in Analytics are ranked by recent ship velocity. Browse the "Holistics alternatives" section above for the current picks, or visit /alternatives/holistics for the full list with editorial commentary on each.