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Comparison · DevOps
Artillery vs Speakeasy
A side-by-side editorial comparison of Artillery and Speakeasy — release velocity, themes, recent moves, and the top alternatives to consider.
Artillery vs Speakeasy: at a glance
| Feature | Artillery | Speakeasy |
|---|---|---|
| Sector | DevOps | DevOps |
| Velocity score | 3.8 | 10.0 |
| Sparks · 30d | 0 | 0 |
| Top themes | load-testing, esm, typescript, aws-fargate | mcp, ai-agents, identity, enterprise |
| Last editorial update | 2mo ago | 1mo ago |
| Website | 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.
What is Speakeasy?
Speakeasy makes AI agents first-class principals: server identity modes, Slack as a work identity, and directory group role mapping
Speakeasy is an enterprise AI agent governance platform shipping at a high cadence — multiple minor versions per week. The current window covers two structural areas: MCP identity management (remote servers now declare User/Agent/No Identity modes, agents own their upstream accounts, wildcard workload admission for agent fleets) and enterprise directory integration (Slack as a work identity, directory group-to-role mapping). The risk policy engine gained scoped targeting for specific MCP servers and tools in the same release window.
Artillery vs Speakeasy: editorial side-by-side
Artillery
3.8DEVOPS
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.
Speakeasy
10.0DEVOPS
Speakeasy makes AI agents first-class principals: server identity modes, Slack as a work identity, and directory group role mapping
◆ Current state
Speakeasy is an enterprise AI agent governance platform shipping at a high cadence — multiple minor versions per week. The current window covers two structural areas: MCP identity management (remote servers now declare User/Agent/No Identity modes, agents own their upstream accounts, wildcard workload admission for agent fleets) and enterprise directory integration (Slack as a work identity, directory group-to-role mapping). The risk policy engine gained scoped targeting for specific MCP servers and tools in the same release window.
◆ Where it's heading
Speakeasy is building the control plane for enterprise AI agent governance: making agents governable by the same tools that manage human employees — identity, directory sync, role assignment, risk policies, and audit trails. The workload assertion grant (a short-lived MCP session from a platform-issued identity token) is the primitive that makes agent fleets manageable at scale. Each release tightens the coupling between AI agent identity and enterprise identity providers (Slack, OIDC, directory groups).
◆ Prediction
The next material release will likely extend the Shadow AI scan's person-level visibility into policy actions (block/allow per person per tool), or introduce agent groups as a first-class concept analogous to directory groups — the wildcard workload admission is a precursor to that. Expect tighter Okta Cross App Access integration as that feature exits the readiness/preview stage.
Alternatives to Artillery and Speakeasy
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 Speakeasy.
CodeRabbit
CodeRabbit moves its review status to a GitHub check run and keeps Deep Scan coverage fresh.
Apache Arrow Rust
Arrow Rust 60.1.0 ships, redacting Parquet encryption keys and adding read-ahead planning.
Zed
Zed 1.26 adds Pyrefly for Python and debugs WebAssembly from the JavaScript debugger.
Sanity
Sanity's MCP server now advertises itself to agents through a server card and llms.txt.
Kubernetes
Kubernetes moves conformance from the cluster to the workloads running on it.
See all Artillery alternatives → · See all Speakeasy alternatives →
Recent activity from Artillery and Speakeasy
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoSpeakeasyThe latest models reach the pickers, and published plugins work on OpenCode 2 again
- 1mo agoSpeakeasyRisk policies can target chosen MCP servers, gateways, and tools instead of everything
- 1mo agoSpeakeasyDirectory groups grant roles on their own, and Slack accounts resolve to the people behind them ⚡
- 1mo agoSpeakeasyRemote MCP servers choose who they act as, and a workload fleet can be admitted by one wildcard ⚡
- 1mo agoSpeakeasyA detected AI tool now opens onto the people running it
- 1mo agoSpeakeasyAgent key creation survives agents with many servers, and delegated credentials recheck authority before they refresh
- 2mo agoArtilleryartillery ping lands, plus full ESM and complete TypeScript definitions ⚡
- 4mo agoArtilleryPlaywright 1.61 and a Faker swap in fake-data
- 5mo agoArtilleryhttp.timeout no longer silently capped at 8 seconds
- 6mo agoArtilleryW3C trace context propagation and a Got 11 to 14 engine upgrade
- 8mo agoArtilleryPlaywright 1.58.1 and a Fargate binary mismatch fix
- 9mo agoArtilleryPlaywright 1.58 and a Fargate metrics completeness fix
Frequently asked questions
What is the difference between Artillery and Speakeasy?
They serve adjacent needs but don't currently overlap on shipped themes. Speakeasy is currently shipping more aggressively (velocity 10.0 vs 3.8), with 0 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 Speakeasy?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Speakeasy is currently shipping more aggressively (velocity 10.0 vs 3.8), with 0 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 Speakeasy?
Top Speakeasy alternatives in DevOps are ranked by recent ship velocity. Browse the "Speakeasy alternatives" section above for the current picks, or visit /alternatives/speakeasy for the full list with editorial commentary on each.