pins
pins keeps adding a storage backend per release while retiring its original API
Comparison · Analytics
embed vs rvest
A side-by-side editorial comparison of embed and rvest — release velocity, themes, recent moves, and the top alternatives to consider.
embed vs rvest: at a glance
What is embed?
embed keeps adding encoding steps while shedding its deep-learning dependencies
embed supplies recipes steps that turn categorical predictors into numeric representations — likelihood encoding, UMAP projection, string-distance collapsing. The 1.1.x line made UMAP arguments tunable and moved keras and tensorflow out of hard dependencies; 1.2.0 added analytical likelihood encoding with partial pooling and retired step_feature_hash() in favor of textrecipes.
What is rvest?
rvest grew a real browser, turning a static scraper into a dynamic one.
rvest is the tidyverse's HTML scraping package. The 1.0.0 line rebuilt table parsing to mimic how browsers actually read tables, and 1.0.4 added read_html_live(), which drives a headless browser so JavaScript-rendered pages can be scraped at all. 1.0.5 is consolidation on that newer path.
embed vs rvest: editorial side-by-side
embed
0.0ANALYTICS
embed keeps adding encoding steps while shedding its deep-learning dependencies
◆ Current state
embed supplies recipes steps that turn categorical predictors into numeric representations — likelihood encoding, UMAP projection, string-distance collapsing. The 1.1.x line made UMAP arguments tunable and moved keras and tensorflow out of hard dependencies; 1.2.0 added analytical likelihood encoding with partial pooling and retired step_feature_hash() in favor of textrecipes.
◆ Where it's heading
Two quiet directions run through these releases. One is making the steps tunable rather than fixed, so they participate properly in tidymodels grids. The other is boundary maintenance: heavy dependencies pushed to Suggests, overlapping steps handed to the package that owns them. Recent releases are thin and fix-driven.
◆ Prediction
Expect further consolidation with textrecipes over which package owns which encoding step, and continued upkeep against xgboost and uwot releases rather than new step families.
rvest
0.0ANALYTICS
rvest grew a real browser, turning a static scraper into a dynamic one.
◆ Current state
rvest is the tidyverse's HTML scraping package. The 1.0.0 line rebuilt table parsing to mimic how browsers actually read tables, and 1.0.4 added read_html_live(), which drives a headless browser so JavaScript-rendered pages can be scraped at all. 1.0.5 is consolidation on that newer path.
◆ Where it's heading
The package has split into two modes: fast static parsing for ordinary documents, and a live browser session for client-rendered ones. Recent effort concentrates on hardening the live path, where page navigation and interaction bugs surface that never existed in static parsing.
◆ Prediction
Expect further fixes and documentation around read_html_live() as more scraping targets move rendering to the client.
Alternatives to embed and rvest
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 embed or rvest.
tsibble
tsibble shipped one release in five and a half years - the data structure is finished
yardstick
yardstick made fairness metrics a first-class part of tidymodels evaluation
tune
tune extends tuning past the model itself to postprocessors, and adds a second parallel backend
leaflet
leaflet relicensed to MIT and finished migrating off R's retired spatial stack
ggpubr
ggpubr reached 1.0.0 with p-value formatting presets for specific journals
Recent activity from embed and rvest
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 6mo agoembedstep_umap() zero-component bug fixed
- 8mo agoembedCompatibility with all xgboost versions
- 11mo agoembedstep_lencode() adds analytical likelihood encoding with pooling
- 11mo agorvestrvest 1.0.5 fixes stale nodes after click navigation in LiveHTML
- 1y agoembedUMAP initial and target_weight become tunable
- 2y agoembedkeras and tensorflow moved to Suggests
- 2y agorvestrvest 1.0.4 scrapes JavaScript pages via a live browser session ⚡
- 2y agoembedstep_collapse_stringdist() returns factors
- 3y agorvestrvest 1.0.3 re-documents to fix .Rd HTML issues
- 4y agorvestrvest 1.0.2 returns empty tibbles for empty tables
- 5y agorvestrvest 1.0.1 parses blank rowspan and colspan as 1
- 5y agorvestrvest 1.0.0 rewrites table parsing to match browser behaviour
Frequently asked questions
What is the difference between embed and rvest?
They serve adjacent needs but don't currently overlap on shipped themes. embed and rvest 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 embed better than rvest?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. embed and rvest 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 embed?
Top embed alternatives in Analytics are ranked by recent ship velocity. Browse the "embed alternatives" section above for the current picks, or visit /alternatives/embed for the full list with editorial commentary on each.
What are the best alternatives to rvest?
Top rvest alternatives in Analytics are ranked by recent ship velocity. Browse the "rvest alternatives" section above for the current picks, or visit /alternatives/rvest for the full list with editorial commentary on each.