Lightdash
Lightdash keeps handing authoring to outside agents and keeping the governed layer for itself.
Comparison · Analytics
fastplyr vs Whatagraph
A side-by-side editorial comparison of fastplyr and Whatagraph — release velocity, themes, recent moves, and the top alternatives to consider.
fastplyr vs Whatagraph: at a glance
| Feature | fastplyr | Whatagraph |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 0.0 | 5.0 |
| Sparks · 30d | 0 | 0 |
| Top themes | dataframe-performance, dplyr-alternative, query-optimization, cran-policy | reporting, agencies, integrations, reliability |
| Last editorial update | 5d ago | 4h ago |
| Website | Visit → | — |
What is fastplyr?
A fast dplyr stand-in that keeps finding new places to skip work entirely.
fastplyr reimplements the dplyr verbs on a faster backend, exposing f_summarise, f_mutate, f_reframe and a set of group metadata helpers alongside optimized joins and quantiles. The most recent release removes non-API C functions and raises the floor to R 4.5.0, a steep requirement that follows the C++17 requirement introduced a release earlier. The verb surface itself has been stable since 0.9.0.
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.
fastplyr vs Whatagraph: editorial side-by-side
fastplyr
0.0ANALYTICS
A fast dplyr stand-in that keeps finding new places to skip work entirely.
◆ Current state
fastplyr reimplements the dplyr verbs on a faster backend, exposing f_summarise, f_mutate, f_reframe and a set of group metadata helpers alongside optimized joins and quantiles. The most recent release removes non-API C functions and raises the floor to R 4.5.0, a steep requirement that follows the C++17 requirement introduced a release earlier. The verb surface itself has been stable since 0.9.0.
◆ Where it's heading
The optimization strategy has shifted from making individual functions fast to reasoning about expressions before evaluating them — 0.9.9 began marking simple operators as group-unaware so expressions built only from them are evaluated across the whole data frame rather than per group. That is a structural bet: the package increasingly inspects what you wrote to decide how much work is actually needed. Running alongside it is a steady tightening of build requirements, with C++17, R 4.5.0 and CRAN's C API rules all landing within a year.
◆ Prediction
Expect the group-unaware classification to widen to more functions, since each addition compounds across every grouped expression, and expect the dependency floors to keep rising as the package tracks CRAN's compiled-code policy.
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 fastplyr 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 fastplyr 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 fastplyr alternatives → · See all Whatagraph alternatives →
Recent activity from fastplyr and Whatagraph
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d 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
- 4mo agofastplyrNon-API C functions dropped, R 4.5.0 now required
- 9mo agofastplyrIn-place sorting arrives with a C++17 requirement
- 11mo agofastplyrGroup-unaware expressions evaluated on the whole frame
- 1y agofastplyrf_mutate and f_reframe complete the verb set
- 1y agofastplyrDynamic argument evaluation and f_pull
- 1y agofastplyrf_fill added and grouped joins repaired
Frequently asked questions
What is the difference between fastplyr 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 fastplyr 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 fastplyr?
Top fastplyr alternatives in Analytics are ranked by recent ship velocity. Browse the "fastplyr alternatives" section above for the current picks, or visit /alternatives/fastplyr 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.