Applications Manager pushes monitoring past the server and out to the end user's network path
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
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.
ToolJet's LTS and beta trains both narrow to component polish and CVE patching
CloudStack's feed shows two LTS branches maintained in parallel and little else
missSBM returns after four dormant years with a stricter API and a new refinement step.
IP address vectors for R that hit 1.0 and then went quiet.
A column-key toolkit for stitching decades of ecological field data into one table.
Microsoft's automated forecasting framework, still mostly a one-maintainer effort.
Bayesian luminescence dating that finally replaced its folder-structure input format.
An epidemic-economic model teaching its interventions to react to the outbreak itself.
A parallel-chain helper for bkmr that has settled into pure upkeep.
A cancer driver prioritization package that ships rarely and mostly to stay installable
A meteorology ggplot2 extension where the netCDF reader became the main event
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.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| adjustedCurves (baseline) | 0.0 | 0 | survival-analysiscausal-inferencer-package | — |
| ManageEngine Applications Manager | 5.0 | 0 | apmnetwork-monitoringcapacity-planning | — |
| ToolJet | 5.0 | 0 | low-codecomponent-librarylts-releases | — |
| Apache CloudStack | 2.5 | 0 | cloud-orchestrationlts-branchessecurity-releases | — |
| missSBM | 2.5 | 0 | r-packagenetwork-analysisstochastic-block-model | — |
| ipaddress | 0.0 | 0 | networkingip-addressesrcpp | 1.0.0 breaks the interface to make it vector-native |
| ltertools | 0.0 | 0 | data-harmonizationecologylter | — |
| finnts | 0.0 | 0 | forecastingtime-seriestidymodels | — |
| BayLum | 0.0 | 0 | bayesian-statisticsluminescence-datinggeochronology | One data-file function and a YAML config replace the folder layout |
| daedalus | 0.0 | 0 | epidemic-modellinghealth-economicsnpi-policy | Interventions now lift in response to live R_t |
| bkmrhat | 0.0 | 0 | bayesian-statisticsmcmcparallel-computing | — |
| driveR | 0.0 | 0 | cancer-genomicsbioinformaticsr-package | — |
| metR | 0.0 | 0 | meteorologyggplot2r-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.
Full ManageEngine Applications Manager trajectory → · Compare adjustedCurves vs ManageEngine Applications Manager →
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.
Full ToolJet trajectory → · Compare adjustedCurves vs ToolJet →
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.
Full Apache CloudStack trajectory → · Compare adjustedCurves vs Apache CloudStack →
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.
Full missSBM trajectory → · Compare adjustedCurves vs missSBM →
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.
Full ipaddress trajectory → · Compare adjustedCurves vs ipaddress →
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.
Full ltertools trajectory → · Compare adjustedCurves vs ltertools →
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.
Full finnts trajectory → · Compare adjustedCurves vs finnts →
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.
Full BayLum trajectory → · Compare adjustedCurves vs BayLum →
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.
Full daedalus trajectory → · Compare adjustedCurves vs daedalus →
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.
Full bkmrhat trajectory → · Compare adjustedCurves vs bkmrhat →
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.
Full driveR trajectory → · Compare adjustedCurves vs driveR →
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.