driveR
A cancer driver prioritization package that ships rarely and mostly to stay installable
Comparison · Infra & APIs
cvms vs nfs-ganesha
A side-by-side editorial comparison of cvms and nfs-ganesha — release velocity, themes, recent moves, and the top alternatives to consider.
cvms vs nfs-ganesha: at a glance
What is 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.
What is nfs-ganesha?
NFS-Ganesha is porting its management plane from DBUS to gRPC, four major versions in a month.
NFS-Ganesha is a user-space NFS server with pluggable FSAL backends for CEPH, GPFS and others. It is releasing major versions at an unusual rate — 12.0 through 15.1 since mid-July — and the connecting thread across all of them is gRPC: infrastructure first, then stats collection ported from DBUS, then more commands, then CacheMgr APIs and export management. Version 15.0 adds memory statistics and accounting alongside those APIs.
cvms vs nfs-ganesha: editorial side-by-side
cvms
0.0INFRA · APIS
A cross-validation package whose real development has moved to its plotting function
◆ Current state
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.
◆ Where it's heading
Two threads run in parallel and only one is about cross-validation. The plotting function plot_confusion_matrix() has absorbed most feature work since 1.5.0 - custom gradient palettes, intensity limits, per-tile settings, dynamic font colors keyed to value thresholds, and arguments that accept functions rather than constants - to the point where a companion web application exists for using it without code. The cross-validation core, by contrast, sees maintenance: upstream compatibility fixes for pROC, ggnewscale and ggplot2, and the fold-matching correction that finally forced a major version.
◆ Prediction
Expect continued option growth in the confusion matrix plotting surface, since that is where nearly every release since 1.5.0 has spent its changes, with core cross-validation changes arriving only as upstream packages force them.
nfs-ganesha
6.3INFRA · APIS
NFS-Ganesha is porting its management plane from DBUS to gRPC, four major versions in a month.
◆ Current state
NFS-Ganesha is a user-space NFS server with pluggable FSAL backends for CEPH, GPFS and others. It is releasing major versions at an unusual rate — 12.0 through 15.1 since mid-July — and the connecting thread across all of them is gRPC: infrastructure first, then stats collection ported from DBUS, then more commands, then CacheMgr APIs and export management. Version 15.0 adds memory statistics and accounting alongside those APIs.
◆ Where it's heading
This is a control-plane migration carried out release by release in the open. Each version moves another slice of management surface onto gRPC — stats, exports, cache manager, a fake recall API for testing — while the data path work continues separately with XCOPY and clustered quality of service at 14.0. The 15.1 release extends ShowExports with a protocol summary and adds a gRPC FakeRecall API, which reads as filling in coverage rather than opening new ground. Note 15.0 and 15.1 are stamped seventy-nine seconds apart, so they were cut together rather than released as separate events.
◆ Prediction
Expect the remaining DBUS-era management commands to keep landing as gRPC APIs at this cadence. The open question these entries do not answer is whether DBUS is eventually removed or kept indefinitely alongside.
Alternatives to cvms and nfs-ganesha
Other Infra & APIs 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 cvms or nfs-ganesha.
metR
A meteorology ggplot2 extension where the netCDF reader became the main event
IsoriX
An isotope geolocation package still recovering from the r-spatial retirement
fdacluster
Functional data clustering grew from one algorithm into a comparable suite
profoc
A forecast combination package that spun its profiler out into its own project
adjustedCurves
A survival curve package spending release after release correcting its own estimates
See all cvms alternatives → · See all nfs-ganesha alternatives →
Recent activity from cvms and nfs-ganesha
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agonfs-ganeshaShowExports gains a protocol summary; gRPC FakeRecall API added
- 1d agonfs-ganeshaMemory accounting and CacheMgr gRPC APIs
- 13d agonfs-ganeshaMore gRPC commands and RDMA rpcbind registration
- 15d agonfs-ganeshaXCOPY server-side copy and clustered quality of service ⚡
- 24d agonfs-ganeshagRPC expands with more stats collection
- 1mo agonfs-ganeshagRPC stats collection ported over from DBUS
- 2mo agocvmsCoefficient extraction restored for multinom and mixed models
- 9mo agocvmsBreaking fix for mismatched folds with non-sequential fold IDs
- 11mo agocvmsTest compatibility with pROC 1.19 and a deprecation warning fix
- 1y agocvmsConfusion matrix fonts and colors can now be computed from the values
- 1y agocvmsTile intensity by row or column percentages
- 1y agocvmsMultinom coefficient extraction fix after a parameters update
Frequently asked questions
What is the difference between cvms and nfs-ganesha?
They serve adjacent needs but don't currently overlap on shipped themes. nfs-ganesha is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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 cvms better than nfs-ganesha?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. nfs-ganesha is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
What are the best alternatives to cvms?
Top cvms alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "cvms alternatives" section above for the current picks, or visit /alternatives/cvms for the full list with editorial commentary on each.
What are the best alternatives to nfs-ganesha?
Top nfs-ganesha alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "nfs-ganesha alternatives" section above for the current picks, or visit /alternatives/nfs-ganesha for the full list with editorial commentary on each.