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Comparison · DevOps

Pelican vs SciPy

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

Pelican vs SciPy: at a glance

FeaturePelicanSciPy
SectorDevOpsDevOps
Velocity score0.00.0
Sparks · 30d00
Top themesstatic-site-generator, python, theming, maintenance-modescientific-computing, array-api, fortran-to-c, ilp64
Last editorial update2h ago3h ago
WebsiteVisit →Visit →

What is Pelican?

Pelican now ships roughly once a year, and 4.12 is theme housekeeping

Pelican is a mature Python static site generator in low-cadence maintenance: 4.12.0 in April 2026 followed 4.11.0 by fifteen months, which itself followed 4.10.0 by sixteen. Nearly all recent work lands in the bundled notmyidea and Simple themes, in summary generation, and in the file-watching and logging plumbing. The contributor pattern is telling — a handful of names carry most merged PRs, and the changelogs read as accumulated small fixes rather than planned feature arcs.

Read the full Pelican trajectory →

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.

Read the full SciPy trajectory →

Pelican vs SciPy: editorial side-by-side

P
Pelican
DEVOPS
0.0

Pelican now ships roughly once a year, and 4.12 is theme housekeeping

◆ Current state

Pelican is a mature Python static site generator in low-cadence maintenance: 4.12.0 in April 2026 followed 4.11.0 by fifteen months, which itself followed 4.10.0 by sixteen. Nearly all recent work lands in the bundled notmyidea and Simple themes, in summary generation, and in the file-watching and logging plumbing. The contributor pattern is telling — a handful of names carry most merged PRs, and the changelogs read as accumulated small fixes rather than planned feature arcs.

◆ Where it's heading

The project is stable rather than growing: the last genuinely structural changes were switching the build tool to PDM and moving file watching to watchfiles back in 4.9.0, and nothing since has altered how Pelican works. Recent releases invest in making the bundled themes usable as inheritance bases — more template blocks, CSS_FILE support, dark mode — which pushes customization toward theme authors instead of core. Expect continuity, not reinvention.

◆ Prediction

The entries show no roadmap signal beyond incremental theme and Python-version support, so the next release most likely follows the same pattern: another year-scale gap, more Simple-theme inheritance hooks, and test-matrix updates for a newer Python.

S
SciPy
DEVOPS
0.0

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.

Alternatives to Pelican and SciPy

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 Pelican or SciPy.

See all Pelican alternatives → · See all SciPy alternatives →

Recent activity from Pelican and SciPy

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

  1. 1mo agoSciPyFortran translation complete; three BLAS/LAPACK build modes; stats under JAX JIT
  2. 2mo agoSciPySecond release candidate for 1.18.0
  3. 2mo agoSciPyFirst release candidate exposes the 1.18.0 build-mode and array API changes
  4. 3mo agoPelicanPelican 4.12 adds dark mode to the default theme
  5. 5mo agoSciPyBug-fix release on the 1.17.x branch
  6. 7mo agoSciPyN-D batching across many functions, initial ILP64 support, ARPACK ported to C
  7. 7mo agoSciPySecond release candidate for 1.17.0
  8. 1y agoPelicanPelican 4.11 makes Typogrify filters selectable
  9. 1y agoPelicanPelican 4.10.2 ignores hidden files by default
  10. 1y agoPelicanPelican 4.10.1 fixes live reload and theme symlinks
  11. 1y agoPelicanPelican 4.10 adds paragraph-count summaries and a Medium importer
  12. 2y agoPelicanPelican 4.9.1 fixes the tzdata dependency on Windows

Frequently asked questions

What is the difference between Pelican and SciPy?

They serve adjacent needs but don't currently overlap on shipped themes. Pelican and SciPy 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.

Is Pelican better than SciPy?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Pelican and SciPy 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.

What are the best alternatives to Pelican?

Top Pelican alternatives in DevOps are ranked by recent ship velocity. Browse the "Pelican alternatives" section above for the current picks, or visit /alternatives/pelican for the full list with editorial commentary on each.

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.