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Comparison · Infra & APIs

Hatchet vs Apache ShenYu

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

Hatchet vs Apache ShenYu: at a glance

FeatureHatchetApache ShenYu
SectorInfra & APIsInfra & APIs
Velocity score6.30.0
Sparks · 30d00
Top themesdurable execution, serverless, task queues, rate limitingapi-gateway, ai-proxy, mcp, token-limiting
Last editorial update17h ago2mo ago
WebsiteVisit →Visit →

What is Hatchet?

Hatchet takes durable tasks serverless, with handlers for Cloudflare Workers, Vercel and Node.

Hatchet's new @hatchet-dev/serverless 0.1.0 runs tasks on Cloudflare Workers, Vercel and Node. An in-engine operator delivers them by signed POST or by an invocation websocket that also carries durable sleeps, waits and child runs. Around it, the engine shipped three patches in a day: DAG replays no longer take an advisory lock, worker shutdown now waits for durable tasks, and status queries use partition pruning. The API now declares 429 with Retry-After on every authenticated call.

Read the full Hatchet trajectory →

What is Apache ShenYu?

An API gateway that has quietly grown an LLM plugin family — and then stopped shipping.

Apache ShenYu's tracked releases run through the 2.7.0.x patch line and stop in November 2025. The consistent thread across those releases is a set of AI plugins accumulating alongside the traditional gateway ones: an AI proxy, an AI token limiter, an AI request transformer, and an MCP server plugin that shows up in the most recent entry through timeout and request-size fixes. The rest of each release is bug fixing and test coverage, with configuration synchronization through Nacos accounting for a recurring share of the defects.

Read the full Apache ShenYu trajectory →

Hatchet vs Apache ShenYu: editorial side-by-side

H
Hatchet
INFRA · APIS
6.3

Hatchet takes durable tasks serverless, with handlers for Cloudflare Workers, Vercel and Node.

◆ Current state

Hatchet's new @hatchet-dev/serverless 0.1.0 runs tasks on Cloudflare Workers, Vercel and Node. An in-engine operator delivers them by signed POST or by an invocation websocket that also carries durable sleeps, waits and child runs. Around it, the engine shipped three patches in a day: DAG replays no longer take an advisory lock, worker shutdown now waits for durable tasks, and status queries use partition pruning. The API now declares 429 with Retry-After on every authenticated call.

◆ Where it's heading

Until now, running Hatchet meant running long-lived workers. The serverless package removes that requirement, so durable execution can run where JavaScript teams already deploy. The engine work points the same way: rate limits declared in the spec, safer worker acks, cheaper status queries. Patch cadence is still very high, often several engine tags a day, and much of it fixes durable-task edge cases.

◆ Prediction

Expect quick 0.1.x serverless releases as early users hit edge cases on each platform, and possibly matching Python handlers. More engine patches on durable-task shutdown and replay are likely.

A
Apache ShenYu
INFRA · APIS
0.0

An API gateway that has quietly grown an LLM plugin family — and then stopped shipping.

◆ Current state

Apache ShenYu's tracked releases run through the 2.7.0.x patch line and stop in November 2025. The consistent thread across those releases is a set of AI plugins accumulating alongside the traditional gateway ones: an AI proxy, an AI token limiter, an AI request transformer, and an MCP server plugin that shows up in the most recent entry through timeout and request-size fixes. The rest of each release is bug fixing and test coverage, with configuration synchronization through Nacos accounting for a recurring share of the defects.

◆ Where it's heading

ShenYu is positioning as a gateway for model traffic as well as service traffic, and the pattern is telling — the AI plugins appear first as features and then, one release later, as bug reports, which is what real usage looks like. Rate limiting by token rather than by request is the specific piece that matters, since it is the unit LLM providers actually bill on. Against that, the release notes are undifferentiated pull-request lists and nothing has shipped in the tracked feed for over eight months.

◆ Prediction

Expect further hardening of the MCP server plugin, which is the newest and least settled of the AI additions. The gap since 2.7.0.3 should be checked against the project's actual activity before drawing conclusions from it.

Alternatives to Hatchet and Apache ShenYu

Other Infra & APIs 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 Hatchet or Apache ShenYu.

See all Hatchet alternatives → · See all Apache ShenYu alternatives →

Recent activity from Hatchet and Apache ShenYu

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

  1. 22h agoHatchetHatchet v0.115.0: contributor list update, no product notes
  2. 1d agoHatchetHatchet v0.114.15 fixes migration deadlocks
  3. 1d agoHatchetHatchet v0.114.14 builds its own continuous aggregates
  4. 1d agoHatchetHatchet v0.114.13 quiets noisy DAG operator errors
  5. 1d agoHatchetPython SDK 1.43.2 parses 429 rate-limit errors
  6. 1d agoHatchetHatchet v0.114.12 adds a Concurrency dashboard page
  7. 11mo agoApache ShenYuMCP server plugin fixes and Nacos sync cache corrections
  8. 1y agoApache ShenYuAI request transformer plugin joins the proxy and token limiter
  9. 1y agoApache ShenYuJWT SPI extension and Dubbo method configuration land

Frequently asked questions

What is the difference between Hatchet and Apache ShenYu?

They serve adjacent needs but don't currently overlap on shipped themes. Hatchet is currently shipping more aggressively (velocity 6.3 vs 0.0), 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 Hatchet better than Apache ShenYu?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Hatchet is currently shipping more aggressively (velocity 6.3 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

What are the best alternatives to Hatchet?

Top Hatchet alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Hatchet alternatives" section above for the current picks, or visit /alternatives/hatchet for the full list with editorial commentary on each.

What are the best alternatives to Apache ShenYu?

Top Apache ShenYu alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Apache ShenYu alternatives" section above for the current picks, or visit /alternatives/shenyu for the full list with editorial commentary on each.