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AgencyAnalytics vs patchwork

A side-by-side editorial comparison of AgencyAnalytics and patchwork — release velocity, themes, recent moves, and the top alternatives to consider.

AgencyAnalytics vs patchwork: at a glance

FeatureAgencyAnalyticspatchwork
SectorAnalyticsAnalytics
Velocity score6.30.0
Sparks · 30d10
Top themesagency-reporting, ai-assistant, usage-based-pricing, client-managementggplot2, composition, tables, layout
Last editorial update1d ago1h ago
WebsiteVisit →Visit →

What is AgencyAnalytics?

Reporting features now exist mainly to feed the AI layer sitting on top of them.

AgencyAnalytics is shipping steadily across two tracks. The visible one is reporting ergonomics for agencies managing many clients: regex and contains filtering on custom metrics, client tags applied in bulk, and a Shares tab exposing every way a report has been sent. The second, and the one the roadmap language keeps pointing at, is AgencyAI — which gained saved reusable Skills in August, while the client Data tab was consolidated in July explicitly to give those answers more context to draw on.

Read the full AgencyAnalytics trajectory →

What is patchwork?

patchwork stopped being a ggplot composer and became a page composer.

patchwork assembles plots into compositions with arithmetic operators, and the 1.x line has steadily hardened that grammar: guide and axis collection, free() to exempt a plot from alignment, inset_element() for overlays, and list-like behaviour so lapply() and length() work on a patchwork. Version 1.3.0 added native gt table support. The two releases since are a load-time warning fix and a compatibility pass for the next ggplot2 release.

Read the full patchwork trajectory →

AgencyAnalytics vs patchwork: editorial side-by-side

A6.3

Reporting features now exist mainly to feed the AI layer sitting on top of them.

◆ Current state

AgencyAnalytics is shipping steadily across two tracks. The visible one is reporting ergonomics for agencies managing many clients: regex and contains filtering on custom metrics, client tags applied in bulk, and a Shares tab exposing every way a report has been sent. The second, and the one the roadmap language keeps pointing at, is AgencyAI — which gained saved reusable Skills in August, while the client Data tab was consolidated in July explicitly to give those answers more context to draw on.

◆ Where it's heading

The company is converting a reporting tool into an analysis layer, and monetising the AI separately — AI Tracker went to open beta as a metered add-on at twenty-five dollars per 250 credits rather than as an included feature. Each structural change now gets justified by what it gives AgencyAI to work with, which suggests the reporting surface is being reorganised around the assistant rather than the other way round. Data-source maintenance continues underneath, including removing a Microsoft Ads metric the upstream API could not support accurately.

◆ Prediction

Expect the Data tab to keep absorbing client context types as promised, and further metered AI capability to follow AI Tracker out of beta on the same credit model.

P
patchwork
ANALYTICS
0.0

patchwork stopped being a ggplot composer and became a page composer.

◆ Current state

patchwork assembles plots into compositions with arithmetic operators, and the 1.x line has steadily hardened that grammar: guide and axis collection, free() to exempt a plot from alignment, inset_element() for overlays, and list-like behaviour so lapply() and length() work on a patchwork. Version 1.3.0 added native gt table support. The two releases since are a load-time warning fix and a compatibility pass for the next ggplot2 release.

◆ Where it's heading

The centre of gravity is shifting from alignment mechanics to composition scope. Early releases were almost entirely bug fixes against grid and ggplot2 internals — strip placement, fixed aspect ratios, guide merging. Recent ones add object types and escape hatches instead. Between feature cycles the package is in maintenance defined by ggplot2's release calendar, which is what 1.3.1 is in its entirety.

◆ Prediction

Expect wrap_table() to grow beyond gt to other table objects, and expect the next substantive release to be triggered by a ggplot2 internals change rather than by a patchwork roadmap.

Alternatives to AgencyAnalytics and patchwork

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 AgencyAnalytics or patchwork.

See all AgencyAnalytics alternatives → · See all patchwork alternatives →

Recent activity from AgencyAnalytics and patchwork

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1d agoAgencyAnalyticsAdvanced filtering for custom metrics and KPIs
  2. 1d agoAgencyAnalyticsOrganize your clients your way with tags
  3. 6d agoAgencyAnalyticsReport Shares View
  4. 6d agoAgencyAnalyticsSkills in AgencyAI
  5. 16d agoAgencyAnalyticsEverything about your client's data, now in one tab
  6. 1mo agoAgencyAnalyticsMicrosoft Ads: Impression Share metric removed
  7. 11mo agopatchworkFix spurious load-time warnings
  8. 1y agopatchworkCompatibility pass for the next ggplot2 release
  9. 1y agopatchworkgt tables become first-class patchwork objects
  10. 2y agopatchworkAxis collection and free() arrive
  11. 3y agopatchworkPatchworks behave like lists; NULL becomes a no-op
  12. 3y agopatchworkClearer error when plotting space is too small

Frequently asked questions

What is the difference between AgencyAnalytics and patchwork?

They serve adjacent needs but don't currently overlap on shipped themes. AgencyAnalytics is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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 AgencyAnalytics better than patchwork?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. AgencyAnalytics is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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 AgencyAnalytics?

Top AgencyAnalytics alternatives in Analytics are ranked by recent ship velocity. Browse the "AgencyAnalytics alternatives" section above for the current picks, or visit /alternatives/agencyanalytics for the full list with editorial commentary on each.

What are the best alternatives to patchwork?

Top patchwork alternatives in Analytics are ranked by recent ship velocity. Browse the "patchwork alternatives" section above for the current picks, or visit /alternatives/patchwork for the full list with editorial commentary on each.