The recursive-computation engine under massProps grows the accessors its consumer needed
tf alternatives
The best tf alternatives in developer tools, ranked by Sparkpulse's velocity_score.
Updated Aug 20, 2026
Looking for the best alternatives to tf? Sparkpulse tracks and ranks 12 alternatives in developer tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, tf 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 tf
tf gave functional data a second dimension: curves whose values are vectors.
tf supplies the vector classes underneath the tidyfun stack — tfd for raw functional observations, tfb for basis-represented ones, both built on vctrs so curves sit in a data frame column and behave like any other vector. Until July that codomain was scalar. The 0.5.0 release adds tfd_mv and tfb_mv, classes for functions whose values are vectors in R^d, and rebuilds the analysis verbs to match.
Velocity 0.0 · Last update 1h ago
Top 12 alternatives to tf
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
A mass-properties rollup spends a year on documentation and follows its sibling's API
Six months of releases and not one of them touched the scoring models
A cognitive-science sampling package ships once, then goes quiet for eighteen months
A Bayesian volatility sampler in its maintenance decade, paying for its own speed
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
Spatial thinning grows a result object, and the API breaks to make room for it
A dormant plant-breeding package returns as a genomic selection index suite
CRAN download analytics maintained one micro-change at a time, hundreds per year
INSEE's statistics API gets a French R client that keeps meeting its edge cases
A bulk file reader became a labelled-survey-data toolkit, then went quiet
Network diffusion analysis returns from a seven-year gap able to track several behaviours at once
tf 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 |
|---|---|---|---|---|
| tf (baseline) | 0.0 | 0 | functional-data-analysisvctrsmultivariate | Vector-valued functional data becomes a first-class type |
| rollupTree | 0.0 | 0 | recursive-computationtree-structuresdag | — |
| massProps | 0.0 | 0 | systems-engineeringmass-propertiesuncertainty-propagation | — |
| writeAlizer | 0.0 | 0 | writing-assessmentnlp-featuresmodel-artifacts | — |
| samplr | 0.0 | 0 | cognitive-sciencesampling-algorithmsmcmc | — |
| stochvol | 0.0 | 0 | bayesian-inferencestochastic-volatilitymcmc | — |
| midr | 0.0 | 0 | explainable-aisurrogate-modelsshapley | Matrix responses bring multi-class and survival models in scope |
| GeoThinneR | 0.0 | 0 | spatial-thinningspecies-distributionoccurrence-data | GeoThinned result objects and a reorganised method surface |
| selection.index | 0.0 | 0 | plant-breedingselection-indexgenomic-selection | Genomic, marker and multi-stage selection indices on an Rcpp core |
| packageRank | 0.0 | 0 | crandownload-analyticslog-filtering | — |
| melodi | 0.0 | 0 | official-statisticsapi-clientinsee | — |
| bulkreadr | 0.0 | 0 | data-importsurvey-datalabelled-data | SPSS import converting labelled variables to factors |
| netdiffuseR | 0.0 | 0 | network-analysisdiffusioncontagion | Multi-adoption: splitting several behaviours out of one network |
The 12 best tf alternatives, in depth
1. rollupTree · velocity 0.0
The recursive-computation engine under massProps grows the accessors its consumer needed.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where tf leans on functional data analysis, vctrs and multivariate, rollupTree focuses on recursive computation, tree structures and dag.
rollupTree and tf have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
2. massProps · velocity 0.0
A mass-properties rollup spends a year on documentation and follows its sibling's API.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where tf leans on functional data analysis, vctrs and multivariate, massProps focuses on systems engineering, mass properties and uncertainty propagation.
massProps and tf have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. writeAlizer · velocity 0.0
Six months of releases and not one of them touched the scoring models.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where tf leans on functional data analysis, vctrs and multivariate, writeAlizer focuses on writing assessment, nlp features and model artifacts.
writeAlizer and tf have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
4. samplr · velocity 0.0
A cognitive-science sampling package ships once, then goes quiet for eighteen months.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where tf leans on functional data analysis, vctrs and multivariate, samplr focuses on cognitive science, sampling algorithms and mcmc.
samplr and tf have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. stochvol · velocity 0.0
A Bayesian volatility sampler in its maintenance decade, paying for its own speed.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where tf leans on functional data analysis, vctrs and multivariate, stochvol focuses on bayesian inference, stochastic volatility and mcmc.
stochvol and tf have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. midr · velocity 0.0
A black-box interpreter reaches CRAN, then learns multi-class and survival responses.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Matrix responses bring multi-class and survival models in scope”.
Where tf leans on functional data analysis, vctrs and multivariate, midr focuses on explainable ai, surrogate models and shapley.
midr and tf have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. GeoThinneR · velocity 0.0
Spatial thinning grows a result object, and the API breaks to make room for it.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “GeoThinned result objects and a reorganised method surface”.
Where tf leans on functional data analysis, vctrs and multivariate, GeoThinneR focuses on spatial thinning, species distribution and occurrence data.
GeoThinneR and tf have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
8. selection.index · velocity 0.0
A dormant plant-breeding package returns as a genomic selection index suite.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Genomic, marker and multi-stage selection indices on an Rcpp core”.
Where tf leans on functional data analysis, vctrs and multivariate, selection.index focuses on plant breeding, selection index and genomic selection.
selection.index and tf have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full selection.index trajectory → · Compare tf vs selection.index →
9. packageRank · velocity 0.0
CRAN download analytics maintained one micro-change at a time, hundreds per year.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where tf leans on functional data analysis, vctrs and multivariate, packageRank focuses on cran, download analytics and log filtering.
packageRank and tf have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. melodi · velocity 0.0
INSEE's statistics API gets a French R client that keeps meeting its edge cases.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where tf leans on functional data analysis, vctrs and multivariate, melodi focuses on official statistics, api client and insee.
melodi and tf have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
11. bulkreadr · velocity 0.0
A bulk file reader became a labelled-survey-data toolkit, then went quiet.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “SPSS import converting labelled variables to factors”.
Where tf leans on functional data analysis, vctrs and multivariate, bulkreadr focuses on data import, survey data and labelled data.
bulkreadr and tf have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
12. netdiffuseR · velocity 0.0
Network diffusion analysis returns from a seven-year gap able to track several behaviours at once.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Multi-adoption: splitting several behaviours out of one network”.
Where tf leans on functional data analysis, vctrs and multivariate, netdiffuseR focuses on network analysis, diffusion and contagion.
netdiffuseR and tf 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 tf?
The top tf alternatives we currently track in developer tools are rollupTree, massProps, writeAlizer, samplr, stochvol, ranked by recent ship velocity.
How is this list of tf alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare tf directly with one of these alternatives?
Yes — every card has a "Compare with tf" link to a side-by-side /compare page.