← Back to developer tools
Alternatives · developer tools

adjustedCurves alternatives

The best adjustedCurves alternatives in developer tools, ranked by Sparkpulse's velocity_score.

Updated Aug 18, 2026

Looking for the best alternatives to adjustedCurves? Sparkpulse tracks and ranks 12 alternatives in developer tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, adjustedCurves shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.

About adjustedCurves

A survival curve package spending release after release correcting its own estimates

adjustedCurves computes confounder-adjusted survival and cumulative incidence curves across a range of estimators - IPTW, AIPTW, Aalen-Johansen, direct standardisation - with support for multiple imputation and bootstrapping. The recent releases are dominated by corrections to numbers the package already reported. Version 0.11.4 fixed cumulative incidence estimates under method="aalen_johansen" that were being read one time step early, which the maintainer notes could differ substantially when events are few, and added risk and event counts to the ggsurvplot conversion including correctly pooled values under multiple imputation.

Velocity 0.0 · Last update 54m ago

Read the full adjustedCurves trajectory →

Top 12 alternatives to adjustedCurves

Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.

Browse all developer tools products →

adjustedCurves vs alternatives — shipping velocity at a glance

Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.

ProductVelocitySparks · 30dFocus areasLatest release
adjustedCurves (baseline)0.00survival-analysiscausal-inferencer-package
ManageEngine Applications Manager5.00apmnetwork-monitoringcapacity-planning
ToolJet5.00low-codecomponent-librarylts-releases
Apache CloudStack2.50cloud-orchestrationlts-branchessecurity-releases
missSBM2.50r-packagenetwork-analysisstochastic-block-model
ipaddress0.00networkingip-addressesrcpp1.0.0 breaks the interface to make it vector-native
ltertools0.00data-harmonizationecologylter
finnts0.00forecastingtime-seriestidymodels
BayLum0.00bayesian-statisticsluminescence-datinggeochronologyOne data-file function and a YAML config replace the folder layout
daedalus0.00epidemic-modellinghealth-economicsnpi-policyInterventions now lift in response to live R_t
bkmrhat0.00bayesian-statisticsmcmcparallel-computing
driveR0.00cancer-genomicsbioinformaticsr-package
metR0.00meteorologyggplot2r-package

The 12 best adjustedCurves alternatives, in depth

1. ManageEngine Applications Manager · velocity 5.0

Applications Manager pushes monitoring past the server and out to the end user's network path.

Its velocity score of 5.0/10 reflects longer-term release cadence.

Where adjustedCurves leans on survival analysis, causal inference and r package, ManageEngine Applications Manager focuses on apm, network monitoring and capacity planning.

ManageEngine Applications Manager and adjustedCurves have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

2. ToolJet · velocity 5.0

ToolJet's LTS and beta trains both narrow to component polish and CVE patching.

Its velocity score of 5.0/10 reflects longer-term release cadence.

Where adjustedCurves leans on survival analysis, causal inference and r package, ToolJet focuses on low code, component library and lts releases.

ToolJet and adjustedCurves have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

3. Apache CloudStack · velocity 2.5

CloudStack's feed shows two LTS branches maintained in parallel and little else.

Its velocity score of 2.5/10 reflects longer-term release cadence.

Where adjustedCurves leans on survival analysis, causal inference and r package, Apache CloudStack focuses on cloud orchestration, lts branches and security releases.

Apache CloudStack and adjustedCurves have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

4. missSBM · velocity 2.5

MissSBM returns after four dormant years with a stricter API and a new refinement step.

Its velocity score of 2.5/10 reflects longer-term release cadence.

Where adjustedCurves leans on survival analysis, causal inference and r package, missSBM focuses on r package, network analysis and stochastic block model.

missSBM and adjustedCurves have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

5. ipaddress · velocity 0.0

IP address vectors for R that hit 1.0 and then went quiet.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “1.0.0 breaks the interface to make it vector-native”.

Where adjustedCurves leans on survival analysis, causal inference and r package, ipaddress focuses on networking, ip addresses and rcpp.

ipaddress and adjustedCurves have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

6. ltertools · velocity 0.0

A column-key toolkit for stitching decades of ecological field data into one table.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where adjustedCurves leans on survival analysis, causal inference and r package, ltertools focuses on data harmonization, ecology and lter.

ltertools and adjustedCurves have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

7. finnts · velocity 0.0

Microsoft's automated forecasting framework, still mostly a one-maintainer effort.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where adjustedCurves leans on survival analysis, causal inference and r package, finnts focuses on forecasting, time series and tidymodels.

finnts and adjustedCurves have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

8. BayLum · velocity 0.0

Bayesian luminescence dating that finally replaced its folder-structure input format.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “One data-file function and a YAML config replace the folder layout”.

Where adjustedCurves leans on survival analysis, causal inference and r package, BayLum focuses on bayesian statistics, luminescence dating and geochronology.

BayLum and adjustedCurves have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

9. daedalus · velocity 0.0

An epidemic-economic model teaching its interventions to react to the outbreak itself.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Interventions now lift in response to live R_t”.

Where adjustedCurves leans on survival analysis, causal inference and r package, daedalus focuses on epidemic modelling, health economics and npi policy.

daedalus and adjustedCurves have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

10. bkmrhat · velocity 0.0

A parallel-chain helper for bkmr that has settled into pure upkeep.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where adjustedCurves leans on survival analysis, causal inference and r package, bkmrhat focuses on bayesian statistics, mcmc and parallel computing.

bkmrhat and adjustedCurves have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

11. driveR · velocity 0.0

A cancer driver prioritization package that ships rarely and mostly to stay installable.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where adjustedCurves leans on survival analysis, causal inference and r package, driveR focuses on cancer genomics, bioinformatics and r package.

driveR and adjustedCurves have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

12. metR · velocity 0.0

A meteorology ggplot2 extension where the netCDF reader became the main event.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where adjustedCurves leans on survival analysis, causal inference and r package, metR focuses on meteorology, ggplot2 and r package.

metR and adjustedCurves have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

Frequently asked questions

What are the best alternatives to adjustedCurves?

The top adjustedCurves alternatives we currently track in developer tools are ManageEngine Applications Manager, ToolJet, Apache CloudStack, missSBM, ipaddress, ranked by recent ship velocity.

How is this list of adjustedCurves alternatives ranked?

Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.

Can I compare adjustedCurves directly with one of these alternatives?

Yes — every card has a "Compare with adjustedCurves" link to a side-by-side /compare page.