OpenHouse
OpenHouse is hardening the seams where table policies and jobs quietly fail.
Comparison · Analytics
dplyr vs Hex
A side-by-side editorial comparison of dplyr and Hex — release velocity, themes, recent moves, and the top alternatives to consider.
dplyr vs Hex: at a glance
| Feature | dplyr | Hex |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 0.0 | 6.3 |
| Sparks · 30d | 0 | 1 |
| Top themes | r, data-manipulation, tidyverse, api-expansion | agents, cli, mcp, model-routing |
| Last editorial update | 1h ago | 1d ago |
| Website | Visit → | — |
What is dplyr?
After two quiet years dplyr widened its verb vocabulary in one release
dplyr sat on patch releases from late 2023 until 1.2.0 landed in February 2026, and that release did a lot at once: a filter_out() counterpart to filter(), elementwise when_any() and when_all(), and three new recoding verbs alongside case_when(). It also rewrote if_else(), case_when() and coalesce() in C via vctrs, and promoted .by and reframe() from experimental to stable. The follow-up 1.2.1 is a compliance patch.
What is Hex?
Hex is moving its agent out of the notebook and onto programmable surfaces.
Hex ships a fortnightly digest, and the through-line across the last ten is agent reach. The agent now runs from a CLI and API, appears inside Codex, acts as an MCP client against the user's own apps, can search the web, and can see the generative apps it builds. Alongside that, the model layer has become a customer-facing control: a picker, an admin-set default, Auto with visible attribution, and a rotating roster including Fable 5, Kimi K2.7, Claude Opus 5 and GPT-5.6.
dplyr vs Hex: editorial side-by-side
dplyr
0.0ANALYTICS
After two quiet years dplyr widened its verb vocabulary in one release
◆ Current state
dplyr sat on patch releases from late 2023 until 1.2.0 landed in February 2026, and that release did a lot at once: a filter_out() counterpart to filter(), elementwise when_any() and when_all(), and three new recoding verbs alongside case_when(). It also rewrote if_else(), case_when() and coalesce() in C via vctrs, and promoted .by and reframe() from experimental to stable. The follow-up 1.2.1 is a compliance patch.
◆ Where it's heading
The package is expanding its verb set deliberately, through published Tidyup design proposals rather than ad-hoc additions, and each new verb targets a case where the old idiom was error-prone - most obviously NA handling in negated filters. Underneath, hot paths keep moving from R into C, so the API grows while the runtime cost falls.
◆ Prediction
Expect the remaining experimental surface to follow .by and reframe() toward stable, and further hot paths to be rewritten in C via vctrs. The two Tidyup proposals referenced here suggest more of the filter and recode families is still being designed.
Hex
6.3ANALYTICS
Hex is moving its agent out of the notebook and onto programmable surfaces.
◆ Current state
Hex ships a fortnightly digest, and the through-line across the last ten is agent reach. The agent now runs from a CLI and API, appears inside Codex, acts as an MCP client against the user's own apps, can search the web, and can see the generative apps it builds. Alongside that, the model layer has become a customer-facing control: a picker, an admin-set default, Auto with visible attribution, and a rotating roster including Fable 5, Kimi K2.7, Claude Opus 5 and GPT-5.6.
◆ Where it's heading
Hex is positioning the agent as a component other systems call rather than a feature users visit. Governance is being built out in parallel — spend limits, credit usage controls, enterprise role-request controls, signed embedding — which is the pattern of a product preparing for programmatic usage it does not directly supervise. The generative-app surface is drifting the same way, from generated output toward editable, brandable, embeddable artifacts.
◆ Prediction
Expect the CLI and API surface to deepen before the notebook UI gains much, with more of Context Studio and app management reachable programmatically, and expect the spend and role controls to keep pace as headless usage grows.
Alternatives to dplyr and Hex
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 dplyr or Hex.
silx
silx 3.0 moved its default Qt binding to PySide6 — a migration for everyone embedding it.
statsmodels
statsmodels ships only what the ecosystem breaks — six releases, no new statistics.
StatsBase.jl
StatsBase.jl is in caretaker mode — correctness fixes in, dependency bumps out.
iris
Iris ships steadily on a two-a-year cadence, but its feed publishes only pointers.
shiny
Shiny made reactive apps observable, then gave them a way to tear themselves down
Recent activity from dplyr and Hex
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoHexThe Hex Agent reads a whole Slack thread, then opens a notebook
- 2d agoHexFast mode, GPT-5.6, and visible model attribution for Auto
- 13d agoHexHex Agent becomes callable from the CLI and API ⚡
- 22d agoHexEditable generative-app code, and an agent that sees what it builds
- 29d agoHexMore control over credits, thread metadata, and role requests
- 1mo agoHexTwo new models and more controls over generative apps
- 4mo agodplyrFull compliance with the R C API
- 6mo agodplyrfilter_out(), when_any() and three recoding verbs land in 1.2.0 ⚡
- 2y agodplyrNamespaced join_by() helpers and refreshed bundled datasets
- 2y agodplyrDeprecation message and setequal() consistency fixes
- 3y agodplyrAll-NA join key fix and count() documentation
- 3y agodplyrJoins gain a relationship argument and warn far less often
Frequently asked questions
What is the difference between dplyr and Hex?
They serve adjacent needs but don't currently overlap on shipped themes. Hex is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is dplyr better than Hex?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Hex is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to dplyr?
Top dplyr alternatives in Analytics are ranked by recent ship velocity. Browse the "dplyr alternatives" section above for the current picks, or visit /alternatives/dplyr for the full list with editorial commentary on each.
What are the best alternatives to Hex?
Top Hex alternatives in Analytics are ranked by recent ship velocity. Browse the "Hex alternatives" section above for the current picks, or visit /alternatives/hex for the full list with editorial commentary on each.