SleekView Charts for Custom Fields Suite
Custom Fields Suite stores field values in its own tables and standard postmeta. SleekView Charts reads both, surfaces coverage per field group and renders loop counts, relationships and field assignments as chart cards.
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CFS keeps field data tidy. The reporting around it should follow.
Custom Fields Suite is the long-standing free alternative to ACF, known for storing field values in its own dedicated tables rather than in postmeta. That design is good for query performance and for keeping postmeta clean, but it also means the data sits in a place the standard WordPress admin does not surface at all. Editors see the field UI on the post screen; nobody on the team sees field coverage as a number.
SleekView Charts reads the cfs_values table CFS writes to, joins it with wp_posts and renders the result as chart cards. A Number card counts posts where every field in a chosen field group is populated. A Pie shows the field group split across post types. A Bar ranks the most-used field groups by associated post count. An Area trends value writes over time, useful when measuring whether a content sprint actually moved the model.
Because CFS uses its own tables, the cards are fast even on large content models. The same SleekView dataset powers the underlying table view, so filters cross over and inline edits go through CFS's update functions so any save hooks continue to apply.
Workflow
Turn CFS field groups into a dashboard
Point at a CFS field group
Build chart cards
Save a coverage dashboard
Drill into the table
Sample dashboard
Charts you can build from Custom Fields Suite data
Posts with complete field group
Count
Field group reach across post types
Count
group by post_type
Loop row totals by field group
Sum(loop_row_count)
group by field_group
Field writes per week
Count
group by value_modified
Comparison
Default CFS admin vs SleekView Charts
Default CFS admin
- No aggregate view of CFS field coverage across posts
- Loop row usage is invisible at any aggregate level
- Field group reach across post types is not surfaced anywhere
- Standard admin offers no time series of CFS value writes
- Audit relies on direct queries against the cfs_values table
SleekView Charts
- KPI card for posts with complete field group coverage
- Pie of CFS field group reach across post types
- Bar of total loop row counts per field group
- Area trend of CFS value writes over time
- Filters carry from chart segments into the SleekView table view
Features
What SleekView Charts gives you for Custom Fields Suite
Reads CFS's dedicated tables
CFS stores values in its own tables, not postmeta. SleekView queries cfs_values directly, so the dashboard stays fast at scale and matches CFS's own design intent.
Edit through CFS save logic
Inline edits triggered from a chart-driven table go through CFS's documented update path so registered save hooks continue to fire as they do in the editor.
Coverage as a real KPI
Coverage is the question every CFS-driven content audit ends up asking. A Number card answers it directly instead of forcing a custom SQL query each time.
Audience
Who builds Custom Fields Suite charts dashboards with SleekView
WordPress developers
Audit CFS-backed content models without writing one-off admin pages. Hand off a real reporting surface alongside the build instead of an ad hoc SQL script.
Editorial leads
See which posts are missing required CFS fields as a count, not a feeling. Plan a content cleanup against an actual coverage number.
Agency leads
Ship a CFS build with a usage dashboard so clients see their own field group coverage at a glance. No follow-up tickets for "how many posts need the new field?"
The bigger picture
Why CFS-backed models deserve a dashboard
Custom Fields Suite has stayed a quietly popular alternative to ACF largely because of two design choices: it stores values in its own tables and it keeps the field UI tight. Both choices pay off for performance and for postmeta hygiene, and both choices also make the data harder to see in aggregate from the standard WordPress admin. Editors interact with one record at a time; nobody on the team has a coverage number until somebody writes a SQL query.
SleekView Charts pulls the cfs_values table into the same dataset family as wp_posts and wp_postmeta, so the reporting layer reaches into CFS's own storage rather than ignoring it. Field group coverage becomes a KPI, loop usage becomes a Bar, value writes become a trend. The build that already runs CFS keeps every advantage of its design choice and gains the missing reporting layer for free.
Questions
Common questions about SleekView Charts for Custom Fields Suite
CFS has long-running compatibility with WordPress and continues to work on current versions. SleekView reads CFS's documented table structure, so as long as a site runs the plugin successfully the dashboard works against it the same way.
 Yes. The loop field is CFS's repeater equivalent and the row counts are recoverable from cfs_values. SleekView surfaces loop row totals per post and per field group, which is the missing answer to "how much repeated content do we carry?"
 Yes. Edits triggered from the table behind a chart go through CFS's documented save path so save_post-style hooks and registered validation continue to apply just as they do in the editor.
 Yes. CFS and ACF coexist; SleekView builds separate datasets for each, so a site running both can have one CFS dashboard and one ACF dashboard, or combine both in the same view.
 Yes. Because CFS stores values in dedicated tables, the underlying queries are fast even at hundreds of thousands of rows. SleekView only queries the columns a card references, which keeps the dashboard responsive.
 Yes. Each saved dashboard is gated by WordPress capability. Editors can see the coverage KPI and the per-post-type pie without seeing the developer-level audit cards.
 Yes. A dashboard can combine cards from several CFS field groups at once, which is the right shape for an editorial audit where coverage is being measured across the full content model rather than one section.
 SleekView reads the live CFS field group registration, so renames carry through. Historic values still exist in cfs_values and can be reached via the field's stable identifier when registered with one.
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