tidyr
tidyr replaced separate() with a family that says what it does.
Comparison · Analytics
Klipfolio vs modeltime
A side-by-side editorial comparison of Klipfolio and modeltime — release velocity, themes, recent moves, and the top alternatives to consider.
Klipfolio vs modeltime: 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 modeltime?
modeltime built conformal intervals in, then went quiet on features.
modeltime is at 1.3.3, a single change making the package robust to xgboost version shifts. The feature weight sits in 1.3.2, which added a future-based parallel backend, the maape() accuracy metric and dials helpers for ADAM engine tuning, and further back in the 1.2.8 and 1.3.0 pair that introduced conformal prediction intervals and then carried them through the nested forecasting workflow.
Klipfolio vs modeltime: 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.
modeltime
0.0ANALYTICS
modeltime built conformal intervals in, then went quiet on features.
◆ Current state
modeltime is at 1.3.3, a single change making the package robust to xgboost version shifts. The feature weight sits in 1.3.2, which added a future-based parallel backend, the maape() accuracy metric and dials helpers for ADAM engine tuning, and further back in the 1.2.8 and 1.3.0 pair that introduced conformal prediction intervals and then carried them through the nested forecasting workflow.
◆ Where it's heading
The arc runs from uncertainty quantification to execution. Conformal intervals arrived first and were then threaded through nested fitting, refitting and the printed forecast tables so users can see which confidence method produced an interval. The later work moves down a layer to how forecasts are computed — a portable future backend replacing foreach tuning — rather than what they express.
◆ Prediction
With only an xgboost compatibility fix since the 1.3.2 feature release, the entries do not support a confident prediction about what comes next beyond continued dependency maintenance.
Alternatives to Klipfolio and modeltime
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 modeltime.
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 modeltime alternatives →
Recent activity from Klipfolio and modeltime
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 agoKlipfolioEnhanced security
- 7mo agoKlipfolioDuplicate record of the MFA change
- 7mo agomodeltimeRobustness to xgboost version changes
- 8mo agoKlipfolioNew and improved billing system
- 11mo agomodeltimefuture parallel backend, maape() metric and ADAM tuning helpers
- 2y agomodeltimeConformal intervals reach the nested forecasting workflow
- 2y agomodeltimeConformal prediction intervals introduced
- 3y agomodeltimeFixes the Smooth es() model
- 3y agomodeltimeFixes failing developer-tools tests
Frequently asked questions
What is the difference between Klipfolio and modeltime?
They serve adjacent needs but don't currently overlap on shipped themes. Klipfolio and modeltime 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 modeltime?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Klipfolio and modeltime 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 modeltime?
Top modeltime alternatives in Analytics are ranked by recent ship velocity. Browse the "modeltime alternatives" section above for the current picks, or visit /alternatives/modeltime for the full list with editorial commentary on each.