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Comparison · DevOps

Artillery vs collections

A side-by-side editorial comparison of Artillery and collections — release velocity, themes, recent moves, and the top alternatives to consider.

Artillery vs collections: at a glance

FeatureArtillerycollections
SectorDevOpsDevOps
Velocity score3.80.0
Sparks · 30d10
Top themesload-testing, esm, typescript, aws-fargater, data-structures, c-api, maintenance
Last editorial update3h ago1h ago
WebsiteVisit →Visit →

What is Artillery?

Artillery adds a single-request diagnostic command and finally makes ESM a first-class citizen.

Artillery ships a patch release every four to eight weeks, and for most of the last ten that release was a Playwright version bump plus fixes to the distributed runners on Lambda, Fargate and Azure ACI. The recurring failure mode being chased is dependency resolution in worker environments: tests that need external npm modules silently starting with fewer VUs, skipped installs, module-not-found errors at run time. v2.0.34 breaks that pattern with genuine new surface area.

Read the full Artillery trajectory →

What is collections?

A stable R data-structure package whose releases are now mostly compiler and checker upkeep.

collections provides queue, stack, deque, dict and ordered-dict types for R backed by C. The API has been settled since 0.3.x; recent releases are almost entirely maintenance against R's own tooling — an rchk memory-safety fix, then a modernization of the R/C interface. The one substantive change in the visible window is O(1) size() for queues and stacks.

Read the full collections trajectory →

Artillery vs collections: editorial side-by-side

A
Artillery
DEVOPS
3.8

Artillery adds a single-request diagnostic command and finally makes ESM a first-class citizen.

◆ Current state

Artillery ships a patch release every four to eight weeks, and for most of the last ten that release was a Playwright version bump plus fixes to the distributed runners on Lambda, Fargate and Azure ACI. The recurring failure mode being chased is dependency resolution in worker environments: tests that need external npm modules silently starting with fewer VUs, skipped installs, module-not-found errors at run time. v2.0.34 breaks that pattern with genuine new surface area.

◆ Where it's heading

Two arcs are converging. The first is reliability of the cloud runners, addressed incrementally by bundling more into the worker image rather than fetching at test startup — the fake-data plugin moved in this release, following the pre-packaged Playwright and CLI binaries earlier in the window. The second is modern JavaScript support: full ESM across processors, plugins, engines and reporters, plus TypeScript definitions that now model the entire test script rather than a fragment. Together they point at a team removing the reasons a test fails for reasons unrelated to the system under test.

◆ Prediction

Expect the ping command to grow assertion and output options, and the worker images to keep absorbing commonly-used plugins so that startup installs disappear entirely.

C0.0

A stable R data-structure package whose releases are now mostly compiler and checker upkeep.

◆ Current state

collections provides queue, stack, deque, dict and ordered-dict types for R backed by C. The API has been settled since 0.3.x; recent releases are almost entirely maintenance against R's own tooling — an rchk memory-safety fix, then a modernization of the R/C interface. The one substantive change in the visible window is O(1) size() for queues and stacks.

◆ Where it's heading

This is a finished package under custodial maintenance. The releases track pressure from outside the package — CRAN's rchk checks, R's evolving C API — rather than user-facing demand, and the issue-to-release pattern shows changes arriving one contributed pull request at a time.

◆ Prediction

Further releases will most likely be more R C-API conformance work as R continues restricting non-API entry points; nothing in the entries points at new data structures.

Alternatives to Artillery and collections

Other DevOps 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 Artillery or collections.

See all Artillery alternatives → · See all collections alternatives →

Recent activity from Artillery and collections

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1d agoArtilleryartillery ping lands, plus full ESM and complete TypeScript definitions
  2. 2mo agoArtilleryPlaywright 1.61 and a Faker swap in fake-data
  3. 2mo agoArtilleryhttp.timeout no longer silently capped at 8 seconds
  4. 3mo agoArtilleryW3C trace context propagation and a Got 11 to 14 engine upgrade
  5. 4mo agocollectionsR/C interface modernized for the restricted C API
  6. 6mo agocollectionsrchk memory-protection fix
  7. 6mo agoArtilleryPlaywright 1.58.1 and a Fargate binary mismatch fix
  8. 6mo agoArtilleryPlaywright 1.58 and a Fargate metrics completeness fix
  9. 0y agocollectionsO(1) size() for queues and stacks
  10. 1y agocollectionscollections v0.3.8
  11. 3y agocollectionsSorted-key behavior fixed in ordered dict
  12. 6y agocollectionsUbuntu 18.04 install failure fixed

Frequently asked questions

What is the difference between Artillery and collections?

They serve adjacent needs but don't currently overlap on shipped themes. Artillery is currently shipping more aggressively (velocity 3.8 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 Artillery better than collections?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Artillery is currently shipping more aggressively (velocity 3.8 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 DevOps products to evaluate alongside.

What are the best alternatives to Artillery?

Top Artillery alternatives in DevOps are ranked by recent ship velocity. Browse the "Artillery alternatives" section above for the current picks, or visit /alternatives/artillery for the full list with editorial commentary on each.

What are the best alternatives to collections?

Top collections alternatives in DevOps are ranked by recent ship velocity. Browse the "collections alternatives" section above for the current picks, or visit /alternatives/collections-r for the full list with editorial commentary on each.