A tables-listings-graphs package that reached CRAN and then went quiet.
riem alternatives
The best riem alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 14, 2026
Looking for the best alternatives to riem? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, riem 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 riem
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
riem pulls observations from the Iowa Environmental Mesonet's weather-station network. Its release history is two threads: successive rewrites of the HTTP and test-mocking stack, and a gradual tightening of function arguments that culminated in 1.0.0 removing convenient-but-dangerous defaults. Contributions come partly from IEM's own maintainer.
Velocity 0.0 · Last update 56m ago
Top 12 alternatives to riem
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
Tplyr made clinical summary tables explain where every number came from.
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
A TIFF reader for scientific imaging that spent its recent releases shedding weight and fixing memory bugs.
tern is migrating its entire analysis-function catalogue off make_afun(), one release at a time.
A reference posterior database that hit 1.0 with a paper, and is now graded on the statistics it ships.
Markdown round-tripping through XML, where every release is another thing it learned not to mangle.
A Qualtrics data-cleaning package that has been in maintenance mode since its CRAN acceptance.
Geospatial targets grew from two raster helpers into a tiling and multi-backend pipeline layer.
riem 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 |
|---|---|---|---|---|
| riem (baseline) | 0.0 | 0 | weather-dataapi-clientr-package | — |
| tidytlg | 0.0 | 0 | clinical-trialstablesr-package | — |
| Tplyr | 0.0 | 0 | clinical-trialstablestraceability | 1.0.0 introduces the traceability metadata framework |
| rlistings | 0.0 | 0 | clinical-trialslistingspagination | — |
| hoardr | 0.0 | 0 | cachingr-packageropensci | — |
| gigs | 0.0 | 0 | growth-standardsneonatal-healthr-package | Conversion API rewritten around data frames and classify_growth() |
| datasetjson | 0.0 | 0 | clinical-datacdiscjson | Dataset-JSON 1.1.0 support with a redesigned object model |
| ijtiff | 0.0 | 0 | imagingtiffr-package | — |
| tern | 0.0 | 0 | clinical-trialstablesr-package | Two dozen more analysis functions drop make_afun() |
| posteriordb | 0.0 | 0 | bayesianbenchmarkingreference-data | — |
| tinkr | 0.0 | 0 | markdownxmlr-package | First release: the extensible yarn R6 class |
| excluder | 0.0 | 0 | survey-datadata-cleaningr-package | — |
| geotargets | 0.0 | 0 | geospatialpipelinesr-package | stars backend and dynamically branched raster tiles |
The 12 best riem alternatives, in depth
1. tidytlg · velocity 0.0
A tables-listings-graphs package that reached CRAN and then went quiet.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where riem leans on weather data, api client and r package, tidytlg focuses on clinical trials, tables and r package.
tidytlg and riem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
2. Tplyr · velocity 0.0
Tplyr made clinical summary tables explain where every number came from.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “1.0.0 introduces the traceability metadata framework”.
Where riem leans on weather data, api client and r package, Tplyr focuses on clinical trials, tables and traceability.
Tplyr and riem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. rlistings · velocity 0.0
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where riem leans on weather data, api client and r package, rlistings focuses on clinical trials, listings and pagination.
rlistings and riem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
4. hoardr · velocity 0.0
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where riem leans on weather data, api client and r package, hoardr focuses on caching, r package and ropensci.
hoardr and riem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. gigs · velocity 0.0
Gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Conversion API rewritten around data frames and classify_growth()”.
Where riem leans on weather data, api client and r package, gigs focuses on growth standards, neonatal health and r package.
gigs and riem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. datasetjson · velocity 0.0
Datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Dataset-JSON 1.1.0 support with a redesigned object model”.
Where riem leans on weather data, api client and r package, datasetjson focuses on clinical data, cdisc and json.
datasetjson and riem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full datasetjson trajectory → · Compare riem vs datasetjson →
7. ijtiff · velocity 0.0
A TIFF reader for scientific imaging that spent its recent releases shedding weight and fixing memory bugs.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where riem leans on weather data, api client and r package, ijtiff focuses on imaging, tiff and r package.
ijtiff and riem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
8. tern · velocity 0.0
Tern is migrating its entire analysis-function catalogue off make_afun(), one release at a time.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Two dozen more analysis functions drop make_afun()”.
Where riem leans on weather data, api client and r package, tern focuses on clinical trials, tables and r package.
tern and riem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
9. posteriordb · velocity 0.0
A reference posterior database that hit 1.0 with a paper, and is now graded on the statistics it ships.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where riem leans on weather data, api client and r package, posteriordb focuses on bayesian, benchmarking and reference data.
posteriordb and riem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full posteriordb trajectory → · Compare riem vs posteriordb →
10. tinkr · velocity 0.0
Markdown round-tripping through XML, where every release is another thing it learned not to mangle.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “First release: the extensible yarn R6 class”.
Where riem leans on weather data, api client and r package, tinkr focuses on markdown, xml and r package.
tinkr and riem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
11. excluder · velocity 0.0
A Qualtrics data-cleaning package that has been in maintenance mode since its CRAN acceptance.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where riem leans on weather data, api client and r package, excluder focuses on survey data, data cleaning and r package.
excluder and riem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
12. geotargets · velocity 0.0
Geospatial targets grew from two raster helpers into a tiling and multi-backend pipeline layer.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “stars backend and dynamically branched raster tiles”.
Where riem leans on weather data, api client and r package, geotargets focuses on geospatial, pipelines and r package.
geotargets and riem 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 riem?
The top riem alternatives we currently track in analytics tools are tidytlg, Tplyr, rlistings, hoardr, gigs, ranked by recent ship velocity.
How is this list of riem alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare riem directly with one of these alternatives?
Yes — every card has a "Compare with riem" link to a side-by-side /compare page.