tidyr
tidyr replaced separate() with a family that says what it does.
Comparison · Analytics
Klipfolio vs iris
A side-by-side editorial comparison of Klipfolio and iris — release velocity, themes, recent moves, and the top alternatives to consider.
Klipfolio vs iris: 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 iris?
Iris ships steadily on a two-a-year cadence, but its feed publishes only pointers.
Iris tags a release candidate roughly every four to five months — 3.13 through 3.16 over the past year — and the cadence is the only thing the feed actually reports. Every entry is the same seven-line template: a line saying this is a release candidate, conda-forge and PyPI install commands, and a link to a 'What's New' page held elsewhere. No release notes reach the feed at all.
Klipfolio vs iris: 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.
iris
2.5ANALYTICS
Iris ships steadily on a two-a-year cadence, but its feed publishes only pointers.
◆ Current state
Iris tags a release candidate roughly every four to five months — 3.13 through 3.16 over the past year — and the cadence is the only thing the feed actually reports. Every entry is the same seven-line template: a line saying this is a release candidate, conda-forge and PyPI install commands, and a link to a 'What's New' page held elsewhere. No release notes reach the feed at all.
◆ Where it's heading
The version numbers say a mature Met Office library is being maintained on a predictable schedule; nothing in the published entries says what is being maintained. Until the project puts release content in the tag body, its public trail will read as cadence without substance, and readers have to leave the feed to learn anything. The pattern has been identical across four consecutive releases, so it is a deliberate publishing choice rather than an oversight.
◆ Prediction
Expect v3.17.0rc0 around late 2026 on the same schedule, carrying the same boilerplate — the notes will again live on the documentation site rather than in the release entry.
Alternatives to Klipfolio and iris
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 iris.
modeltime
modeltime built conformal intervals in, then went quiet on features.
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.
See all Klipfolio alternatives → · See all iris alternatives →
Recent activity from Klipfolio and iris
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 13d agoirisv3.16.0rc0
- 4mo agoirisv3.15.0rc0
- 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
- 8mo agoKlipfolioNew and improved billing system
- 9mo agoirisv3.14.0rc0
- 1y agoirisv3.13.0rc0
Frequently asked questions
What is the difference between Klipfolio and iris?
They serve adjacent needs but don't currently overlap on shipped themes. iris is currently shipping more aggressively (velocity 2.5 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 Klipfolio better than iris?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. iris is currently shipping more aggressively (velocity 2.5 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 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 iris?
Top iris alternatives in Analytics are ranked by recent ship velocity. Browse the "iris alternatives" section above for the current picks, or visit /alternatives/scitools-iris for the full list with editorial commentary on each.