tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
hoardr vs tensorflow
A side-by-side editorial comparison of hoardr and tensorflow — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-packagemaintenance
hoardr vs tensorflow: at a glance
What is hoardr?
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
hoardr manages local cache directories for other R packages — where files go, how they are keyed, whether they exist. It underpins caching in several rOpenSci data clients. The last functional additions were in 2018; everything since is a patch issued because CRAN reported a test failure or the maintainer changed.
What is tensorflow?
The R binding to TensorFlow now spends nearly every release on install plumbing.
The R tensorflow package is a thin binding whose release notes have, for several years, been dominated by one problem: getting a working Python TensorFlow onto the user's machine. Recent releases hand that job progressively to reticulate — 2.20.0 adds py_require_tensorflow(), which makes the long-standing install_tensorflow() call unnecessary in most cases. The remaining content is version-default bumps, GPU detection fixes, and compatibility work against NumPy 2.0 and R-devel.
hoardr vs tensorflow: editorial side-by-side
hoardr
0.0ANALYTICS
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
◆ Current state
hoardr manages local cache directories for other R packages — where files go, how they are keyed, whether they exist. It underpins caching in several rOpenSci data clients. The last functional additions were in 2018; everything since is a patch issued because CRAN reported a test failure or the maintainer changed.
◆ Where it's heading
This is infrastructure that has reached its final shape. Three of the last three releases were reactive: two responses to CRAN test-failure notifications, one to a maintainer handover. The single behavioural change in that stretch — forward slashes in paths on every operating system — is a consistency fix for downstream packages rather than a feature. Its release cadence is set by CRAN's checks, not by demand.
◆ Prediction
Expect the next release to be triggered by another CRAN check failure rather than by new functionality, matching every release since 2018.
tensorflow
0.0ANALYTICS
The R binding to TensorFlow now spends nearly every release on install plumbing.
◆ Current state
The R tensorflow package is a thin binding whose release notes have, for several years, been dominated by one problem: getting a working Python TensorFlow onto the user's machine. Recent releases hand that job progressively to reticulate — 2.20.0 adds py_require_tensorflow(), which makes the long-standing install_tensorflow() call unnecessary in most cases. The remaining content is version-default bumps, GPU detection fixes, and compatibility work against NumPy 2.0 and R-devel.
◆ Where it's heading
Two arcs run through these entries. The first is dependency resolution moving from imperative (call install_tensorflow(), which builds a venv and pip-installs CUDA) to declarative (declare the requirement, let reticulate resolve it). The second is the quiet handover of the modelling layer: 2.16.0 switched the suggested high-level package from keras to keras3, leaving this package as the low-level tensor and installer surface rather than the place users spend their time.
◆ Prediction
The next release will most likely track a TensorFlow version bump plus whatever reticulate's requirement-resolution API changes, and continue trimming install_tensorflow()'s responsibilities. The entries give no indication of new modelling capability landing here rather than in keras3.
Alternatives to hoardr and tensorflow
Other Analytics 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 hoardr or tensorflow.
Tplyr
Tplyr made clinical summary tables explain where every number came from.
rlistings
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
gigs
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
riem
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
datasetjson
datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
See all hoardr alternatives → · See all tensorflow alternatives →
Recent activity from hoardr and tensorflow
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 11mo agotensorflowpy_require_tensorflow() replaces manual install_tensorflow()
- 1y agohoardrPaths use forward slashes on every platform
- 2y agotensorflowSuggests keras3 over keras; auto-installs CUDA on Linux
- 2y agotensorflowTracks TensorFlow 2.15 and newer reticulate
- 2y agohoardrTest-only patch for a CRAN failure
- 2y agotensorflowInstalls the CUDA runtime itself; only the driver is manual
- 3y agotensorflowInstalls into a dedicated r-tensorflow environment by default
- 3y agohoardrPatch release for maintainer handover
- 3y agotensorflowR doubles now convert to float64 tensors, not float32
- 7y agohoardrFixes cache paths leaking between HoardClient instances
- 7y agohoardrFile-existence checks and full-path cache configuration
- 9y agohoardrCRAN disk-writing policy compliance
Frequently asked questions
What is the difference between hoardr and tensorflow?
Both compete on the same themes — r-package, maintenance — within Analytics. hoardr and tensorflow are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is hoardr better than tensorflow?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. hoardr and tensorflow are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to hoardr?
Top hoardr alternatives in Analytics are ranked by recent ship velocity. Browse the "hoardr alternatives" section above for the current picks, or visit /alternatives/hoardr for the full list with editorial commentary on each.
What are the best alternatives to tensorflow?
Top tensorflow alternatives in Analytics are ranked by recent ship velocity. Browse the "tensorflow alternatives" section above for the current picks, or visit /alternatives/tensorflow for the full list with editorial commentary on each.