SleekView Charts for WP Dev Utilities
SleekView Charts reads WP Dev Utilities' tool-run logs and hook profiling counters, then renders runs per tool, error rate, hook frequency and query inspections as Number, Pie, Bar and Area cards.
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Dev tools accumulate logs. A dashboard turns them into a signal.
WP Dev Utilities bundles a set of common WordPress engineering tools: hook profilers, query inspectors, transient browsers, option editors, role debuggers. Each tool logs its runs (and any errors) to a shared log store the plugin maintains. That log is a goldmine for a senior dev or DevOps lead, but the plugin's UI surfaces it as a long table that nobody actually reads end-to-end.
SleekView Charts reads the same log. A Number card shows total tool runs in the last day. A Pie splits runs by tool name so engineering leads see which utilities are doing real work. A Bar groups errors per tool to spot the one tool that's quietly failing every hour. An Area trends runs per hour to separate genuine development cadence from one engineer running the same tool in a loop.
Everything reads from the plugin's own log table, so the dashboard works on every install with WP Dev Utilities active and any logging option turned on.
Workflow
Turn dev tool logs into a dashboard
Read the tool log
Compose the chart cards
Save and scope the dashboard
Share or export
Sample dashboard
Charts you can build from WP Dev Utilities data
Tool runs in last day
Count
Runs by tool
Count
group by tool_name
Errors per tool
Count
group by tool_name
Tool runs per hour
Count
group by run_at
Comparison
Default WP Dev Utilities admin vs SleekView Charts
Default WP Dev Utilities admin
- Tool log is one long table, never an aggregate split
- No KPI of overall tool activity in the last day
- Errors per tool stay invisible without a manual scan
- No trend of runs per hour to separate cadence from automation
- No way to share an activity snapshot with engineering leadership
SleekView Charts
- KPI card for total tool runs in the last day
- Pie split of runs by tool to surface the suite's real shape
- Bar of errors per tool to catch quietly failing utilities
- Area trend of runs per hour for cadence and on-call review
- Filters carry between an activity table and chart cards on one dataset
Features
What SleekView Charts gives you for WP Dev Utilities
Engineering activity as a signal
A KPI plus a tools pie plus an hourly trend turns a long log table into a one-screen view of how engineering is using its tooling, week over week.
Spot quietly failing tools
A Bar of errors per tool surfaces the one utility that's failing two out of three runs. Fixing it restores trust in the whole suite before usage quietly drops.
Share with the lead
Send the engineering manager a read-only URL of the activity dashboard. Sprint and on-call reviews get an honest baseline instead of "the tooling is fine I think".
Audience
Who builds WP Dev Utilities charts dashboards with SleekView
Engineering leads
Watch tool activity over time. A flat trend after a tooling investment is the signal that adoption is failing and the suite needs better onboarding, not another tool.
On-call devs
Filter to status = error and the dashboard becomes an on-call cockpit: which tool failed when, for which user, with what error message exportable to a bug ticket.
DevOps
Group by run_user to see whose runs dominate the log. A single user generating ninety percent of runs usually means a cron job or a script is using the tool in a loop.
The bigger picture
Why dev tools deserve their own dashboard
Engineering tools quietly tell you how engineering is going. A team that runs the hook profiler twice a day is debugging actively, a team that hasn't touched it in three months is shipping by hope. The default plugin log is technically complete and operationally useless, because nobody reads a long log end-to-end.
A KPI of total runs anchors the conversation. A tools pie surfaces which utilities are core to the workflow and which are dead weight. An errors-per-tool bar catches a quietly broken utility before it erodes trust in the whole suite.
An hourly trend separates real cadence from an automated loop. Same plugin, completely different visibility into how engineering actually works.
Questions
Common questions about SleekView Charts for WP Dev Utilities
WP Dev Utilities' own tool log: tool_name, run_at, run_user, status, duration_ms and error_message where present. The plugin's logging needs to be enabled in its settings for the dashboard to populate, which is the default on most installs.
 No. The plugin already writes a structured log per tool run. SleekView Charts reads those rows directly, with no custom logger required.
 Yes. Filter or group by run_user. A single system user accounting for most of the volume is the standard signal that a cron job is calling a utility on a schedule, which is worth knowing.
 Yes. Filter to status = error, group by run_at as a day or hour bucket and pick an Area card. A flat baseline plus a step up after a plugin update is the clearest signal that the new version broke a utility.
 Yes. Filter by tool_name (hook-profiler, query-inspector, transient-browser) and every chart narrows to that utility. Useful for a deep-dive after the errors-per-tool bar flags one as suspicious.
 No. The dashboard reads the log table on its own request path, not in the request path of the tools themselves. Tools log as they always have, the dashboard reads the log out of band.
 Yes. Any filtered set exports as CSV with tool_name, run_at, run_user, status, duration_ms and error_message. The natural attachment for a bug report on a misbehaving utility.
 Yes. Those plugins are request-local, WP Dev Utilities maintains a persistent log across requests. The dashboard reads the persistent log, so the two layers coexist without overlap.
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