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Comparison · Analytics
Klipfolio vs tidyr
A side-by-side editorial comparison of Klipfolio and tidyr — release velocity, themes, recent moves, and the top alternatives to consider.
Klipfolio vs tidyr: at a glance
What is Klipfolio?
Dashboard analytics in slow maintenance, with admin controls the only moving part
The recent record is thin and heavily duplicated — each change appears two or three times, once with a mangled title carrying the body text. What actually shipped: a custom-role permission letting admins delegate viewer management, MFA device memory with an admin-enforced requirement, and API key access. The newest item is dated March.
What is tidyr?
tidyr replaced separate() with a family that says what it does.
tidyr is at 1.3.2, a collection of argument additions — fill() gains .by, expand_grid() gains .vary — and better error messages around unchop() and pivot_wider_spec(). The structural work is 1.3.0, which introduced separate_wider_delim(), separate_wider_position(), separate_wider_regex(), separate_longer_delim() and separate_longer_position() as thorough replacements for separate(), extract() and separate_rows().
Klipfolio vs tidyr: editorial side-by-side
Klipfolio
0.0ANALYTICS
Dashboard analytics in slow maintenance, with admin controls the only moving part
◆ Current state
The recent record is thin and heavily duplicated — each change appears two or three times, once with a mangled title carrying the body text. What actually shipped: a custom-role permission letting admins delegate viewer management, MFA device memory with an admin-enforced requirement, and API key access. The newest item is dated March.
◆ Where it's heading
Development is concentrated on account administration rather than the analytics surface. Delegating viewer management and enforcing MFA are the concerns of a product whose growth comes from agencies and self-managed client accounts, where the buyer administers many downstream users. No dashboard, data-source or visualization work appears in the window at all.
◆ Prediction
The entries show four months without a release and no product-surface work, so there is nothing here to support a confident prediction about what ships next.
tidyr
0.0ANALYTICS
tidyr replaced separate() with a family that says what it does.
◆ Current state
tidyr is at 1.3.2, a collection of argument additions — fill() gains .by, expand_grid() gains .vary — and better error messages around unchop() and pivot_wider_spec(). The structural work is 1.3.0, which introduced separate_wider_delim(), separate_wider_position(), separate_wider_regex(), separate_longer_delim() and separate_longer_position() as thorough replacements for separate(), extract() and separate_rows().
◆ Where it's heading
Two habits define this window. Verbs are being split into explicitly named variants rather than overloaded with arguments, which is what the separate_* family does to separate(). And .by is spreading as the standard way to express grouping inline — nest(.by=) in 1.3.0, fill(.by=) in 1.3.2 — pulling users away from wrapping calls in group_by().
◆ Prediction
Given that .by has now reached fill() and nest(), the next release most likely extends the same argument to further verbs rather than reworking another function family.
Alternatives to Klipfolio and tidyr
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 Klipfolio or tidyr.
performance
performance keeps adding ways to check a model you have already fitted.
cmdstanpy
CmdStanPy is clearing deprecations ahead of a 2.0 it keeps announcing.
dowhy
DoWhy adds one estimation method a year and keeps its identification edge.
OpenHouse
OpenHouse is hardening the seams where table policies and jobs quietly fail.
silx
silx 3.0 moved its default Qt binding to PySide6 — a migration for everyone embedding it.
See all Klipfolio alternatives → · See all tidyr alternatives →
Recent activity from Klipfolio and tidyr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5mo agoKlipfolioNew permission for custom roles
- 5mo agoKlipfolioNew permission for custom roles
- 5mo agoKlipfolioDuplicate record of the custom-role permission
- 7mo agotidyrfill() gains .by; expand_grid() gains .vary
- 7mo agoKlipfolioEnhanced security
- 7mo agoKlipfolioDuplicate record of the MFA change
- 8mo agoKlipfolioNew and improved billing system
- 2y agotidyrpivot_wider duplicate message uses modern syntax
- 3y agotidyrseparate_wider_* family supersedes separate() and extract()
- 3y agotidyrHot patch for R CMD check failures
- 4y agotidyrpivot_wider() gains names_expand, id_expand and unused_fn
- 4y agotidyrLarge speedups to unchop(), unnest() and expand_grid()
Frequently asked questions
What is the difference between Klipfolio and tidyr?
They serve adjacent needs but don't currently overlap on shipped themes. Klipfolio and tidyr are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is Klipfolio better than tidyr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Klipfolio and tidyr are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to Klipfolio?
Top Klipfolio alternatives in Analytics are ranked by recent ship velocity. Browse the "Klipfolio alternatives" section above for the current picks, or visit /alternatives/klipfolio for the full list with editorial commentary on each.
What are the best alternatives to tidyr?
Top tidyr alternatives in Analytics are ranked by recent ship velocity. Browse the "tidyr alternatives" section above for the current picks, or visit /alternatives/tidyr for the full list with editorial commentary on each.