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Comparison · Analytics
cmdstanpy vs Klipfolio
A side-by-side editorial comparison of cmdstanpy and Klipfolio — release velocity, themes, recent moves, and the top alternatives to consider.
cmdstanpy vs Klipfolio: at a glance
What is cmdstanpy?
CmdStanPy is clearing deprecations ahead of a 2.0 it keeps announcing.
CmdStanPy is at v1.3.0, which added a diagnose method on CmdStanModel, sampler timing information, create_inits() across the stanfit classes, and much faster MCMC CSV parsing. Every release in this window opens with the same notice: the next non-bugfix release will be 2.0 and will remove existing deprecations. In line with that, 1.3.0 drops Python 3.8 and renames the metric argument to inv_metric.
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.
cmdstanpy vs Klipfolio: editorial side-by-side
cmdstanpy
0.0ANALYTICS
CmdStanPy is clearing deprecations ahead of a 2.0 it keeps announcing.
◆ Current state
CmdStanPy is at v1.3.0, which added a diagnose method on CmdStanModel, sampler timing information, create_inits() across the stanfit classes, and much faster MCMC CSV parsing. Every release in this window opens with the same notice: the next non-bugfix release will be 2.0 and will remove existing deprecations. In line with that, 1.3.0 drops Python 3.8 and renames the metric argument to inv_metric.
◆ Where it's heading
The package tracks upstream Stan and prepares for its own break. New inference methods arrive as Stan ships them — Laplace with Stan 2.32, Pathfinder with 2.33 — while the interface work is mostly deprecation staging and CSV input-output performance. The repeated 2.0 warning across two years of releases suggests the cut has been deferred more than once.
◆ Prediction
The notice at the top of every release points to 2.0 as the next non-bugfix version, removing the deprecations staged here including the metric argument.
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.
Alternatives to cmdstanpy and Klipfolio
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 cmdstanpy or Klipfolio.
modeltime
modeltime built conformal intervals in, then went quiet on features.
performance
performance keeps adding ways to check a model you have already fitted.
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 cmdstanpy alternatives → · See all Klipfolio alternatives →
Recent activity from cmdstanpy and Klipfolio
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
- 8mo agoKlipfolioNew and improved billing system
- 9mo agocmdstanpydiagnose method, sampler timings and faster CSV parsing
- 2y agocmdstanpyFixes from_csv() for CmdStan 2.35 and later
- 2y agocmdstanpyCmdStan 2.35 test fixes and multi-chain profile output
- 2y agocmdstanpypyproject.toml build and pathfinder() argument fixes
- 2y agocmdstanpyNew Pathfinder arguments and warmup without adaptation
- 2y agocmdstanpyLaplace method and Pathfinder exposed from upstream Stan
Frequently asked questions
What is the difference between cmdstanpy and Klipfolio?
They serve adjacent needs but don't currently overlap on shipped themes. cmdstanpy and Klipfolio 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 cmdstanpy better than Klipfolio?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cmdstanpy and Klipfolio 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 cmdstanpy?
Top cmdstanpy alternatives in Analytics are ranked by recent ship velocity. Browse the "cmdstanpy alternatives" section above for the current picks, or visit /alternatives/cmdstanpy for the full list with editorial commentary on each.
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.