INFRA · APIS
glcdp reaches 1.0.0 with a stable schema contract behind its data explorer.
Alternatives · developer tools
inlabru alternatives
The best inlabru alternatives in developer tools, ranked by Sparkpulse's velocity_score.
Updated Aug 20, 2026
Looking for the best alternatives to inlabru? Sparkpulse tracks and ranks 12 alternatives in developer tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, inlabru shipped 0 meaningful updates in the last 30 days and carries a velocity score of 2.5 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About inlabru
A Bayesian spatial modelling package rebuilding its foundations one breaking release at a time
inlabru wraps INLA for spatial, point-process and latent-Gaussian models in R. It is mid-modernisation: since 2.12.0 cut the sp stack, each release has renamed part of the public surface, standardised how external packages attach custom mappers, or replaced internal machinery. 2.15.0 is the latest step, pairing a new predictor evaluation and linearisation implementation with broom's tidy(), glance() and augment() methods and four non-zero-truncated observation families.
Velocity 2.5 · Last update 1h ago
Top 12 alternatives to inlabru
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
INFRA · APIS
prova adds expected-utility calculation on top of its Bayesian inference core.
INFRA · APIS
Tailscale is paying down scale in two dimensions: nodes per tailnet, tailnets per org.
INFRA · APIS
Daily tags chasing tracker domain moves, login changes and freeleech detection
INFRA · APIS
The MSNI humanitarian needs framework as code, rewritten and re-broken every year
INFRA · APIS
Campsis breaks its API on purpose: snake_case throughout, RxODE compatibility cut loose.
INFRA · APIS
artoo makes any-to-any clinical dataset conversion lossless by construction.
INFRA · APIS
tabular went from clinical tables to complete TFL output in under two months.
INFRA · APIS
usmapdata ships its 2025 shapefiles on the year-indexed model it adopted in 0.4.0.
INFRA · APIS
checkhelper grew from a check wrapper into a CRAN pre-submission auditor.
INFRA · APIS
Four years dormant, rstudio.prefs returns under a new maintainer.
INFRA · APIS
A circular-statistics toolkit for animal movement, shipped and then tightened in three weeks.
inlabru 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 |
|---|---|---|---|---|
| inlabru (baseline) | 2.5 | 0 | bayesian-modellingspatial-statisticsr-package | Drops sp and ggmap for an sf-native spatial stack |
| glcdp | 6.3 | 1 | r-packageslight-loggingdata-standards | glc_explore() adds a Shiny browser and metadata joins |
| prova | 6.3 | 1 | r-packagesbayesian-inferencedecision-analysis | exputility() brings decision analysis into prova |
| Tailscale | 6.3 | 0 | networkingscaleapi | — |
| Jackett | 5.0 | 0 | indexerstorrent-searchmaintenance | — |
| humind | 3.8 | 1 | humanitarian-analyticsneeds-assessmentr-package | 2026 MSNI rollout: HWISE-4 prerequisite, FCLCM, impactR4PHU dropped |
| campsis | 3.8 | 1 | pharmacometricsclinical-trial-simulationbreaking-changes | snake_case across the API; RxODE compatibility removed |
| artoo | 2.5 | 0 | r-packagesclinical-trialscdisc | Lossless any-to-any CDISC dataset conversion in pure R |
| tabular | 2.5 | 0 | r-packagesclinical-trialsdocument-rendering | figure() completes the T, F and L of TFL output |
| usmapdata | 2.5 | 0 | r-packagesgeospatialcensus-data | data_year turns the package into a multi-vintage archive |
| checkhelper | 2.5 | 0 | r-packagescran-compliancestatic-analysis | A static audit_* family for CRAN pre-submission checks |
| rstudio.prefs | 2.5 | 0 | r-packagesrstudiodeveloper-tools | — |
| radiatR | 2.5 | 0 | circular-statisticsanimal-movementr-package | First public release |
The 12 best inlabru alternatives, in depth
1. glcdp · velocity 6.3
Glcdp reaches 1.0.0 with a stable schema contract behind its data explorer.
Over the last 30 days glcdp shipped 1 meaningful update vs inlabru's 0, most recently “glc_explore() adds a Shiny browser and metadata joins”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where inlabru leans on bayesian modelling, spatial statistics and r package, glcdp focuses on r packages, light logging and data standards.
Over the last 30 days glcdp has been shipping faster than inlabru — a point in its favour if release momentum matters to you.
2. prova · velocity 6.3
Prova adds expected-utility calculation on top of its Bayesian inference core.
Over the last 30 days prova shipped 1 meaningful update vs inlabru's 0, most recently “exputility() brings decision analysis into prova”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where inlabru leans on bayesian modelling, spatial statistics and r package, prova focuses on r packages, bayesian inference and decision analysis.
Over the last 30 days prova has been shipping faster than inlabru — a point in its favour if release momentum matters to you.
3. Tailscale · velocity 6.3
Tailscale is paying down scale in two dimensions: nodes per tailnet, tailnets per org.
Its velocity score of 6.3/10 reflects longer-term release cadence.
Where inlabru leans on bayesian modelling, spatial statistics and r package, Tailscale focuses on networking, scale and api.
Tailscale and inlabru have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Tailscale trajectory → · Compare inlabru vs Tailscale →
4. Jackett · velocity 5.0
Daily tags chasing tracker domain moves, login changes and freeleech detection.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where inlabru leans on bayesian modelling, spatial statistics and r package, Jackett focuses on indexers, torrent search and maintenance.
Jackett and inlabru have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. humind · velocity 3.8
The MSNI humanitarian needs framework as code, rewritten and re-broken every year.
Over the last 30 days humind shipped 1 meaningful update vs inlabru's 0, most recently “2026 MSNI rollout: HWISE-4 prerequisite, FCLCM, impactR4PHU dropped”. Its velocity score of 3.8/10 blends that with longer-term release cadence.
Where inlabru leans on bayesian modelling, spatial statistics and r package, humind focuses on humanitarian analytics, needs assessment and r package.
Over the last 30 days humind has been shipping faster than inlabru — a point in its favour if release momentum matters to you.
6. campsis · velocity 3.8
Campsis breaks its API on purpose: snake_case throughout, RxODE compatibility cut loose.
Over the last 30 days campsis shipped 1 meaningful update vs inlabru's 0, most recently “snake_case across the API; RxODE compatibility removed”. Its velocity score of 3.8/10 blends that with longer-term release cadence.
Where inlabru leans on bayesian modelling, spatial statistics and r package, campsis focuses on pharmacometrics, clinical trial simulation and breaking changes.
Over the last 30 days campsis has been shipping faster than inlabru — a point in its favour if release momentum matters to you.
7. artoo · velocity 2.5
Artoo makes any-to-any clinical dataset conversion lossless by construction.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “Lossless any-to-any CDISC dataset conversion in pure R”.
Where inlabru leans on bayesian modelling, spatial statistics and r package, artoo focuses on r packages, clinical trials and cdisc.
artoo and inlabru have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
8. tabular · velocity 2.5
Tabular went from clinical tables to complete TFL output in under two months.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “figure() completes the T, F and L of TFL output”.
Where inlabru leans on bayesian modelling, spatial statistics and r package, tabular focuses on r packages, clinical trials and document rendering.
tabular and inlabru have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
9. usmapdata · velocity 2.5
Usmapdata ships its 2025 shapefiles on the year-indexed model it adopted in 0.4.0.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “data_year turns the package into a multi-vintage archive”.
Where inlabru leans on bayesian modelling, spatial statistics and r package, usmapdata focuses on r packages, geospatial and census data.
usmapdata and inlabru have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full usmapdata trajectory → · Compare inlabru vs usmapdata →
10. checkhelper · velocity 2.5
Checkhelper grew from a check wrapper into a CRAN pre-submission auditor.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “A static audit_* family for CRAN pre-submission checks”.
Where inlabru leans on bayesian modelling, spatial statistics and r package, checkhelper focuses on r packages, cran compliance and static analysis.
checkhelper and inlabru have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full checkhelper trajectory → · Compare inlabru vs checkhelper →
11. rstudio.prefs · velocity 2.5
Four years dormant, rstudio.prefs returns under a new maintainer.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where inlabru leans on bayesian modelling, spatial statistics and r package, rstudio.prefs focuses on r packages, rstudio and developer tools.
rstudio.prefs and inlabru have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full rstudio.prefs trajectory → · Compare inlabru vs rstudio.prefs →
12. radiatR · velocity 2.5
A circular-statistics toolkit for animal movement, shipped and then tightened in three weeks.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “First public release”.
Where inlabru leans on bayesian modelling, spatial statistics and r package, radiatR focuses on circular statistics, animal movement and r package.
radiatR and inlabru 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 inlabru?
The top inlabru alternatives we currently track in developer tools are glcdp, prova, Tailscale, Jackett, humind, ranked by recent ship velocity.
How is this list of inlabru alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare inlabru directly with one of these alternatives?
Yes — every card has a "Compare with inlabru" link to a side-by-side /compare page.