Applications Manager pushes monitoring past the server and out to the end user's network path
cvms alternatives
The best cvms alternatives in developer tools, ranked by Sparkpulse's velocity_score.
Updated Aug 18, 2026
Looking for the best alternatives to cvms? Sparkpulse tracks and ranks 12 alternatives in developer tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, cvms 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 cvms
A cross-validation package whose real development has moved to its plotting function
cvms runs repeated cross-validation over model formulas and reports comparable metrics. The 2.0.0 release was a breaking correctness fix: every function accepting fold_cols mismatched training and testing data when fold indices were non-sequential, did not start at 1, or were strings, because the iteration index was compared against the raw fold value rather than its factor level index. 2.0.1 restored coefficient extraction for nnet::multinom and mixed models by supplying an environment containing the training data, and followed lme4's move of findbars() into the reformulas package.
Velocity 0.0 · Last update 31m ago
Top 12 alternatives to cvms
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.
Luminescence is revisiting the statistical assumptions baked into its dose-response fits.
sps keeps sanding down sequential Poisson sampling rather than adding to it.
simDAG grew a second simulation engine, then spent two releases surviving upstream breakage.
dataSDA grew from a dataset collection into a symbolic-data conversion toolkit.
gkwdist keeps finding that its distributions were returning the wrong numbers.
OptimalBinningWoE spent two releases auditing a C++ engine that was crashing R sessions.
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
cvms 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 |
|---|---|---|---|---|
| cvms (baseline) | 0.0 | 0 | cross-validationr-packagemodel-evaluation | — |
| 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 | — |
| Luminescence | 2.5 | 0 | r-packageluminescence-datinggeochronology | — |
| sps | 2.5 | 0 | r-packagesurvey-samplingsequential-poisson | — |
| simDAG | 2.5 | 0 | r-packagecausal-inferencedag-simulation | Adds continuous-time discrete-event simulation |
| dataSDA | 2.5 | 0 | r-packagesymbolic-datainterval-data | — |
| gkwdist | 2.5 | 0 | r-packagestatistical-distributionsnumerical-stability | — |
| OptimalBinningWoE | 2.5 | 0 | credit-scoringbinningcpp-engine | — |
| driveR | 0.0 | 0 | cancer-genomicsbioinformaticsr-package | — |
| metR | 0.0 | 0 | meteorologyggplot2r-package | — |
The 12 best cvms 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 cvms leans on cross validation, r package and model evaluation, ManageEngine Applications Manager focuses on apm, network monitoring and capacity planning.
ManageEngine Applications Manager and cvms 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 cvms 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 cvms leans on cross validation, r package and model evaluation, ToolJet focuses on low code, component library and lts releases.
ToolJet and cvms 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 cvms leans on cross validation, r package and model evaluation, Apache CloudStack focuses on cloud orchestration, lts branches and security releases.
Apache CloudStack and cvms 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 cvms 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 cvms leans on cross validation, r package and model evaluation, missSBM focuses on r package, network analysis and stochastic block model.
missSBM and cvms have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. Luminescence · velocity 2.5
Luminescence is revisiting the statistical assumptions baked into its dose-response fits.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where cvms leans on cross validation, r package and model evaluation, Luminescence focuses on r package, luminescence dating and geochronology.
Luminescence and cvms have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Luminescence trajectory → · Compare cvms vs Luminescence →
6. sps · velocity 2.5
Sps keeps sanding down sequential Poisson sampling rather than adding to it.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where cvms leans on cross validation, r package and model evaluation, sps focuses on r package, survey sampling and sequential poisson.
sps and cvms have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. simDAG · velocity 2.5
SimDAG grew a second simulation engine, then spent two releases surviving upstream breakage.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “Adds continuous-time discrete-event simulation”.
Where cvms leans on cross validation, r package and model evaluation, simDAG focuses on r package, causal inference and dag simulation.
simDAG and cvms have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
8. dataSDA · velocity 2.5
DataSDA grew from a dataset collection into a symbolic-data conversion toolkit.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where cvms leans on cross validation, r package and model evaluation, dataSDA focuses on r package, symbolic data and interval data.
dataSDA and cvms have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
9. gkwdist · velocity 2.5
Gkwdist keeps finding that its distributions were returning the wrong numbers.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where cvms leans on cross validation, r package and model evaluation, gkwdist focuses on r package, statistical distributions and numerical stability.
gkwdist and cvms have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. OptimalBinningWoE · velocity 2.5
OptimalBinningWoE spent two releases auditing a C++ engine that was crashing R sessions.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where cvms leans on cross validation, r package and model evaluation, OptimalBinningWoE focuses on credit scoring, binning and cpp engine.
OptimalBinningWoE and cvms have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full OptimalBinningWoE trajectory → · Compare cvms vs OptimalBinningWoE →
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 cvms leans on cross validation, r package and model evaluation, driveR focuses on cancer genomics, bioinformatics and r package.
driveR and cvms 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 cvms leans on cross validation, r package and model evaluation, metR focuses on meteorology, ggplot2 and r package.
metR and cvms 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 cvms?
The top cvms alternatives we currently track in developer tools are ManageEngine Applications Manager, ToolJet, Apache CloudStack, missSBM, Luminescence, ranked by recent ship velocity.
How is this list of cvms alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare cvms directly with one of these alternatives?
Yes — every card has a "Compare with cvms" link to a side-by-side /compare page.