Lightdash
Lightdash keeps handing authoring to outside agents and keeping the governed layer for itself.
Comparison · Analytics
GDPuc vs Whatagraph
A side-by-side editorial comparison of GDPuc and Whatagraph — release velocity, themes, recent moves, and the top alternatives to consider.
GDPuc vs Whatagraph: at a glance
| Feature | GDPuc | Whatagraph |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 0.0 | 5.0 |
| Sparks · 30d | 0 | 0 |
| Top themes | economics, currency-conversion, data-harmonisation, r-package | reporting, agencies, integrations, reliability |
| Last editorial update | 4d ago | 2h ago |
| Website | Visit → | — |
What is GDPuc?
A GDP unit converter that keeps widening which currencies and deflators it will accept
GDPuc converts GDP figures between currencies, base years and price bases, using World Bank conversion factors, and is used as a dependency inside the madrat/magclass modelling stack. The 1.6.x line introduced xCU as a unit — local currency of any country x — added arguments for non-default iso3c and year columns, and made the package work with madrat caching and region mappings. The most recent release fixes a bug in iso3c column selection.
What is Whatagraph?
Whatagraph keeps fixing what breaks when one account runs a thousand sources.
Whatagraph is working on the parts of agency reporting that break under volume rather than on new analysis capability. Stored data removed live API calls from render time in the Basis rebuild, connection failover keeps widgets alive when one teammate's token expires, and report shortcuts let a heavy report be split into a hub with supporting detail. Presentation control arrives steadily alongside — automatic conditional formatting, per-metric decimal places, chosen comparison colors. The newest change moves unified-field mapping into the Source Group builder, so a cross-channel group can be fixed in place instead of rebuilt.
GDPuc vs Whatagraph: editorial side-by-side
GDPuc
0.0ANALYTICS
A GDP unit converter that keeps widening which currencies and deflators it will accept
◆ Current state
GDPuc converts GDP figures between currencies, base years and price bases, using World Bank conversion factors, and is used as a dependency inside the madrat/magclass modelling stack. The 1.6.x line introduced xCU as a unit — local currency of any country x — added arguments for non-default iso3c and year columns, and made the package work with madrat caching and region mappings. The most recent release fixes a bug in iso3c column selection.
◆ Where it's heading
The direction is toward accepting messier inputs from more callers. Successive releases have relaxed assumptions the package originally made — that a year column exists, that column names follow a convention, that PPP data is available for every country — and each relaxation is driven by an integration rather than by an economics question. The one genuinely methodological addition is the CPI as an alternative deflator, which arrived in 1.0.0.
◆ Prediction
Conversion factors are versioned World Bank data and were last refreshed in 1.0.0, so a data update is the most likely content of the next substantive release, alongside continued fixes to the column-detection logic that has now produced bugs twice.
Whatagraph
5.0ANALYTICS
Whatagraph keeps fixing what breaks when one account runs a thousand sources.
◆ Current state
Whatagraph is working on the parts of agency reporting that break under volume rather than on new analysis capability. Stored data removed live API calls from render time in the Basis rebuild, connection failover keeps widgets alive when one teammate's token expires, and report shortcuts let a heavy report be split into a hub with supporting detail. Presentation control arrives steadily alongside — automatic conditional formatting, per-metric decimal places, chosen comparison colors. The newest change moves unified-field mapping into the Source Group builder, so a cross-channel group can be fixed in place instead of rebuilt.
◆ Where it's heading
The through-line is reliability and workflow cost at agency scale, where one account runs hundreds or thousands of sources across several people. Each release picks a specific moment where that scale used to force a detour — a dead token, a forty-widget report, a half-built source group — and removes the detour rather than adding a capability. Integration work stays additive and named: Ahrefs Rank Tracker, WhatConverts, Snowflake, bol., each filling a stated reporting gap rather than broadening a connector catalog.
◆ Prediction
Expect the same volume-driven treatment applied to the remaining multi-step setup flows, and further integrations chosen to close named gaps rather than to grow the connector count.
Alternatives to GDPuc and Whatagraph
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 GDPuc or Whatagraph.
Delta Lake
A 4.4.0 tag appears, but the feed carries only its release plumbing
distributions3
distributions3 0.3.0 adds sample-based distributions and likelihood derivatives
Basedash
Basedash keeps pushing its data out of the workspace — now to people without accounts
RStudio
RStudio ships through release branches, and the notes are commit messages
dbt Core
dbt Fusion's second beta is adapter work: ClickHouse gets materializations, indexes, and catalogs
See all GDPuc alternatives → · See all Whatagraph alternatives →
Recent activity from GDPuc and Whatagraph
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 21h agoWhatagraphUnify metrics and dimensions while creating a Source Group
- 7d agoWhatagraphTurn your report into client portal with Report shortcuts
- 21d agoWhatagraphOne broken connection won't break your reports
- 22d agoWhatagraphClearer charts and tables, and a faster way to find the right template
- 27d agoWhatagraphTrack your keywords against competitors with Ahrefs Rank Tracker
- 1mo agoWhatagraphBasis rebuilt: faster data, cleaner numbers, per-client sources
- 8mo agoGDPucFix iso3c column selection
- 9mo agoGDPucxCU unit introduced; madrat caching and region mappings supported
- 1y agoGDPucBetter column detection; magclass objects without years accepted
- 2y agoGDPucCPI added as an alternative deflator; constant euro conversion
- 3y agoGDPucSuggests field cleaned for CRAN compliance
- 3y agoGDPucCorrect conversion factors returned by return_cfs
Frequently asked questions
What is the difference between GDPuc and Whatagraph?
They serve adjacent needs but don't currently overlap on shipped themes. Whatagraph is currently shipping more aggressively (velocity 5.0 vs 0.0), 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 GDPuc better than Whatagraph?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Whatagraph is currently shipping more aggressively (velocity 5.0 vs 0.0), 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 GDPuc?
Top GDPuc alternatives in Analytics are ranked by recent ship velocity. Browse the "GDPuc alternatives" section above for the current picks, or visit /alternatives/gdpuc-r for the full list with editorial commentary on each.
What are the best alternatives to Whatagraph?
Top Whatagraph alternatives in Analytics are ranked by recent ship velocity. Browse the "Whatagraph alternatives" section above for the current picks, or visit /alternatives/whatagraph for the full list with editorial commentary on each.