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Comparison · DevOps
NumPy vs Undertow
A side-by-side editorial comparison of NumPy and Undertow — release velocity, themes, recent moves, and the top alternatives to consider.
NumPy vs Undertow: at a glance
What is NumPy?
NumPy cut distutils loose and is quietly rebuilding for free-threaded Python.
NumPy is in the maintenance rhythm of a foundational library: a transitional minor release followed by a run of patch releases cleaning up what it broke. 2.5.0 removed distutils, expired a large batch of 2.0-era deprecations, and dropped Python 3.11. The patch line since has been about compatibility surfaces — a Cython datetime API fix so downstream can still target pre-2.5, a GCC minimum bump, and wheels for Python 3.15 release candidates.
What is Undertow?
Undertow 2.4.0 clears three CVEs and finally lands long-open HTTP/2 and timeout requests
Undertow's 2.4 line opened in May 2026 with a release that combines three CVE fixes with a backlog of feature requests, several of them years old judging by their issue numbers — in-flight request processing time tracking, comments in the predicate language, a configurable async context timeout replacing a hard-coded one, HTTP/2 GOAWAY connection management, a TLS protocol version exchange attribute, and a method to invalidate all cache paths. The two releases since have been small: a handful of Jiras in 2.4.1, and a 2.4.2 whose entire release note is the sentence that it was tagged.
NumPy vs Undertow: editorial side-by-side
NumPy
2.5DEVOPS
NumPy cut distutils loose and is quietly rebuilding for free-threaded Python.
◆ Current state
NumPy is in the maintenance rhythm of a foundational library: a transitional minor release followed by a run of patch releases cleaning up what it broke. 2.5.0 removed distutils, expired a large batch of 2.0-era deprecations, and dropped Python 3.11. The patch line since has been about compatibility surfaces — a Cython datetime API fix so downstream can still target pre-2.5, a GCC minimum bump, and wheels for Python 3.15 release candidates.
◆ Where it's heading
Two forces are steering releases. One is Python itself: NumPy is tracking 3.15 before it ships and steadily improving free-threading support, including fixing an ABI leak in the free-threading-compatible stable ABI. The other is the array-api standard, which is pulling NumPy's own semantics into line — descending sorts landed for exactly that reason.
◆ Prediction
Expect the 2.5.x line to keep absorbing free-threading and Python 3.15 fallout; the entries suggest the interesting work now happens at the C API and build-system layers, not in array semantics.
Undertow
0.0DEVOPS
Undertow 2.4.0 clears three CVEs and finally lands long-open HTTP/2 and timeout requests
◆ Current state
Undertow's 2.4 line opened in May 2026 with a release that combines three CVE fixes with a backlog of feature requests, several of them years old judging by their issue numbers — in-flight request processing time tracking, comments in the predicate language, a configurable async context timeout replacing a hard-coded one, HTTP/2 GOAWAY connection management, a TLS protocol version exchange attribute, and a method to invalidate all cache paths. The two releases since have been small: a handful of Jiras in 2.4.1, and a 2.4.2 whose entire release note is the sentence that it was tagged.
◆ Where it's heading
The 2.4.0 pattern — a long-deferred feature backlog shipping in the same release as security fixes — suggests features move when a release has to happen anyway rather than on their own schedule. What did ship points at operational control: timeouts that were hard-coded becoming configurable, connection lifecycle handling for HTTP/2, and attributes exposing TLS and timing detail to whatever sits above the server. Enabling test runs on JDK 25 in 2.4.1 is the only forward-looking item in the two follow-up releases.
◆ Prediction
With three entries and one substantive release among them, there is little to extrapolate from; the JDK 25 test enablement is the one thread that implies more work, pointing at runtime compatibility rather than features as the near-term focus.
Alternatives to NumPy and Undertow
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 NumPy or Undertow.
OceanBase
OceanBase is rebuilding itself as a RAG backend without giving up the HTAP story
QGroundControl
QGroundControl rebuilt its flight UI around touch screens, then went quiet for ten months
Pelican
Pelican now ships roughly once a year, and 4.12 is theme housekeeping
WildFly
WildFly's quarterly train is really a stability ladder, and OIDC keeps climbing it
RESTEasy
Jakarta REST implementation in pure maintenance across two parallel branches.
See all NumPy alternatives → · See all Undertow alternatives →
Recent activity from NumPy and Undertow
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoNumPyPython 3.15rc1 wheels; StringDType struct made opaque under the free-threaded ABI
- 1mo agoNumPyCython datetime API fix restores downstream support for older NumPy
- 1mo agoUndertow2.4.2.Final
- 1mo agoNumPyDistutils removed, 2.0-era deprecations expired, descending sorts added ⚡
- 2mo agoNumPyRelease candidate for the 2.5.0 transitional release
- 2mo agoUndertowUndertow 2.4.1 makes the HTTP/1.1 reason-phrase optional
- 2mo agoUndertowUndertow 2.4.0 fixes three CVEs and adds HTTP/2 GOAWAY handling
- 2mo agoNumPyQuick fix for an arr.conj() regression in 2.4.5
- 2mo agoNumPyPatch release: typing fixes, s390x CI, f2py complex mapping
Frequently asked questions
What is the difference between NumPy and Undertow?
They serve adjacent needs but don't currently overlap on shipped themes. NumPy is currently shipping more aggressively (velocity 2.5 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 NumPy better than Undertow?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. NumPy is currently shipping more aggressively (velocity 2.5 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 DevOps products to evaluate alongside.
What are the best alternatives to NumPy?
Top NumPy alternatives in DevOps are ranked by recent ship velocity. Browse the "NumPy alternatives" section above for the current picks, or visit /alternatives/numpy for the full list with editorial commentary on each.
What are the best alternatives to Undertow?
Top Undertow alternatives in DevOps are ranked by recent ship velocity. Browse the "Undertow alternatives" section above for the current picks, or visit /alternatives/undertow for the full list with editorial commentary on each.