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Comparison · DevOps
SciPy vs WildFly
A side-by-side editorial comparison of SciPy and WildFly — release velocity, themes, recent moves, and the top alternatives to consider.
SciPy vs WildFly: at a glance
What is SciPy?
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.
What is WildFly?
WildFly's quarterly train is really a stability ladder, and OIDC keeps climbing it
WildFly is four majors into a metronomic release train — 38 through 41 in about eight months — where each cycle pairs a Beta with a Final roughly two weeks later that restates the same feature list. The substantive work splits cleanly in two: Jakarta EE 11 and MicroProfile spec implementations that land first in WildFly Preview, and an explicit stability ladder (preview to community to default) that individual features climb one release at a time. OIDC is the feature getting the most of that attention, with scope attributes, request/request_uri parameters, and logout each promoted across the last three cycles.
SciPy vs WildFly: editorial side-by-side
SciPy
0.0DEVOPS
SciPy finished translating itself out of Fortran and now offers a Fortran-free build.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
WildFly
2.5DEVOPS
WildFly's quarterly train is really a stability ladder, and OIDC keeps climbing it
◆ Current state
WildFly is four majors into a metronomic release train — 38 through 41 in about eight months — where each cycle pairs a Beta with a Final roughly two weeks later that restates the same feature list. The substantive work splits cleanly in two: Jakarta EE 11 and MicroProfile spec implementations that land first in WildFly Preview, and an explicit stability ladder (preview to community to default) that individual features climb one release at a time. OIDC is the feature getting the most of that attention, with scope attributes, request/request_uri parameters, and logout each promoted across the last three cycles.
◆ Where it's heading
The direction is consolidation rather than expansion: features already written are being graduated to supported status instead of new subsystems appearing. In parallel the runtime baseline is moving underneath users — 40.0.1 shipped container images for JDK 25 on UBI 10 and flagged it as the last release carrying JDK 17 images. Expect the EE 11 work now sitting in Preview to graduate into standard WildFly on the same ladder OIDC has been walking.
◆ Prediction
WildFly 42 should ship container images on JDK 21 and JDK 25 only, with the remaining Preview-stability EE 11 integrations promoted toward default.
Alternatives to SciPy and WildFly
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 WildFly.
Betaflight
Betaflight grew a real autopilot: waypoint missions, geofence RTH and MAVLink ground control
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
RESTEasy
Jakarta REST implementation in pure maintenance across two parallel branches.
See all SciPy alternatives → · See all WildFly alternatives →
Recent activity from SciPy and WildFly
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 25d agoWildFlyWildFly 41 promotes OIDC scope and request-object support
- 1mo agoWildFlyWildFly 41 Beta adds transactions during graceful shutdown
- 1mo agoSciPyFortran translation complete; three BLAS/LAPACK build modes; stats under JAX JIT ⚡
- 1mo agoWildFlyWildFly 40.0.1 moves container images to JDK 25, drops JDK 17
- 2mo agoSciPySecond release candidate for 1.18.0
- 2mo agoSciPyFirst release candidate exposes the 1.18.0 build-mode and array API changes
- 2mo agoWildFlyWildFly 40 lands Jakarta Pages 4.0 and WebSocket 2.2 in Preview
- 3mo agoWildFlyWildFly 40 Beta fixes an Elytron brute-force CVE
- 5mo agoSciPyBug-fix release on the 1.17.x branch
- 6mo agoWildFlyWildFly 39.0.1 backports the Elytron brute-force CVE fix
- 7mo agoSciPyN-D batching across many functions, initial ILP64 support, ARPACK ported to C
- 7mo agoSciPySecond release candidate for 1.17.0
Frequently asked questions
What is the difference between SciPy and WildFly?
They serve adjacent needs but don't currently overlap on shipped themes. WildFly 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 SciPy better than WildFly?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. WildFly 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 SciPy?
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.
What are the best alternatives to WildFly?
Top WildFly alternatives in DevOps are ranked by recent ship velocity. Browse the "WildFly alternatives" section above for the current picks, or visit /alternatives/wildfly for the full list with editorial commentary on each.