Betaflight
Betaflight grew a real autopilot: waypoint missions, geofence RTH and MAVLink ground control
A side-by-side editorial comparison of SciPy and Undertow — release velocity, themes, recent moves, and the top alternatives to consider.
SciPy finished translating itself out of Fortran and now offers a Fortran-free build.
SciPy ships on a six-month major cadence with a long release-candidate tail, and the 1.17/1.18 cycle has been dominated by three structural projects rather than new algorithms. The Fortran-to-C translation is complete, with an experimental Fortran-free build now available to developers. ILP64 BLAS and LAPACK went from initial support in 1.17.0 to three fully supported build modes in 1.18.0. And array API work has spread far enough that stats functions now run under JAX JIT and accept lazy arrays.
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.
SciPy ships on a six-month major cadence with a long release-candidate tail, and the 1.17/1.18 cycle has been dominated by three structural projects rather than new algorithms. The Fortran-to-C translation is complete, with an experimental Fortran-free build now available to developers. ILP64 BLAS and LAPACK went from initial support in 1.17.0 to three fully supported build modes in 1.18.0. And array API work has spread far enough that stats functions now run under JAX JIT and accept lazy arrays.
SciPy is decoupling itself from its own foundations — the Fortran toolchain, the assumption of 32-bit indexing, and the assumption that arrays are NumPy arrays. Each of those makes SciPy buildable and usable in places it previously was not: environments without a Fortran compiler, problems above the LP64 size limit, and accelerator-backed array libraries. The internal FFT backend swap from pocketfft to ducc0 fits the same pattern of replacing inherited machinery.
The Fortran-free build should move from developer-testing toward a supported option as feedback comes in, and array API coverage will likely keep expanding function by function, as it has each release.
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.
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.
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.
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 SciPy or Undertow.
Betaflight grew a real autopilot: waypoint missions, geofence RTH and MAVLink ground control
OceanBase is rebuilding itself as a RAG backend without giving up the HTAP story
QGroundControl rebuilt its flight UI around touch screens, then went quiet for ten months
Pelican now ships roughly once a year, and 4.12 is theme housekeeping
WildFly's quarterly train is really a stability ladder, and OIDC keeps climbing it
Jakarta REST implementation in pure maintenance across two parallel branches.
See all SciPy alternatives → · See all Undertow alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. SciPy and Undertow are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. SciPy and Undertow are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other DevOps products to evaluate alongside.
Top SciPy alternatives in DevOps are ranked by recent ship velocity. Browse the "SciPy alternatives" section above for the current picks, or visit /alternatives/scipy for the full list with editorial commentary on each.
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.