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Merged
tannevaled merged 1 commit into from
Oct 11, 2026
Merged

Landing: ndarray v0.11.0 (13 dtypes, linalg, fft, random) #36

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22 changes: 17 additions & 5 deletions hugo.toml
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Expand Up @@ -22,13 +22,13 @@ disableKinds = ['taxonomy', 'term', 'rss', 'sitemap', '404']
path = "github.com/go-fleettools/landingkit"

[params]
description = "go-ndarray is a pure-Go (CGO=0) NumPy-style n-dimensional array library for float64 — slicing/views, broadcasting, ufuncs, reductions and linear algebra, multicore + SIMD on amd64, arm64, ppc64le, loong64, riscv64 and s390x, with a Workspace arena for loops."
description = "go-ndarray is a pure-Go (CGO=0) NumPy-style n-dimensional array library in 13 dtypes — slicing/views, broadcasting, ufuncs, reductions, numpy.linalg, numpy.fft and numpy.random (NumPy's numbers for the same seed), multicore + SIMD on amd64, arm64, ppc64le, loong64, riscv64 and s390x, with a Workspace arena for loops."

[[params.repos]]
name = "ndarray"
kind = "library · v0.9.1"
kind = "library · v0.11.0"
href = "https://github.com/go-ndarray/ndarray"
blurb = "The library. Creation (<code>Zeros</code>/<code>Arange</code>/<code>Linspace</code>/…), strided <strong>views</strong>, broadcasting elementwise + ufuncs, reductions (<code>Sum</code>/<code>Max</code>/<code>ArgMax</code>/<code>CumSum</code>/<code>Clip</code>/<code>Where</code>), manipulation (<code>Reshape</code>/<code>Concatenate</code>/<code>Stack</code>), linalg (<code>MatMul</code>/<code>Dot</code>) via a panel-packed cache-blocked GEMM with a go-asmgen SIMD-FMA micro-kernel (NEON 4&times;8 on arm64, AVX2/FMA 6&times;8 on amd64, VSX 8&times;8 on ppc64le, LASX 8&times;8 on loong64, RVV 6&times;8 on riscv64, 4&times;8 on s390x), and a <code>Workspace</code> arena for loops (<code>Use</code>/<code>Reset</code>/<code>Detach</code>)."
blurb = "The library, in <strong>13 dtypes</strong> with NumPy 2 promotion. Creation (<code>Zeros</code>/<code>Arange</code>/<code>Linspace</code>/…), strided <strong>views</strong>, broadcasting elementwise + ufuncs, reductions (<code>Sum</code>/<code>Max</code>/<code>ArgMax</code>/<code>CumSum</code>/<code>Clip</code>/<code>Where</code>), manipulation (<code>Reshape</code>/<code>Concatenate</code>/<code>Stack</code>), linalg (<code>MatMul</code>/<code>Dot</code>) via a panel-packed cache-blocked GEMM with a go-asmgen SIMD-FMA micro-kernel (NEON 4&times;8 on arm64, AVX2/FMA 6&times;8 on amd64, VSX 8&times;8 on ppc64le, LASX 8&times;8 on loong64, RVV 6&times;8 on riscv64, 4&times;8 on s390x), and a <code>Workspace</code> arena for loops (<code>Use</code>/<code>Reset</code>/<code>Detach</code>). Packages <code>linalg</code>, <code>fft</code> and <code>random</code> are <code>numpy.linalg</code>, <code>numpy.fft</code> and <code>numpy.random</code>."
[[params.repos]]
name = "docs"
kind = "site"
Expand Down Expand Up @@ -61,9 +61,12 @@ disableKinds = ['taxonomy', 'term', 'rss', 'sitemap', '404']

# The API cards (#api) and the count in the hero come from this list, never
# from a number typed beside it.
[[params.families]]
name = "Dtypes"
what = "bool, int8…int64, uint8…uint64, float32/float64, complex64/complex128, chosen at run time with NumPy 2 promotion: `AsType`, `Data[T]`, `Item[T]`, weak Go scalars with `Scalar`."
[[params.families]]
name = "Creation"
what = "`Zeros`, `Ones`, `Full`, `Arange`, `Linspace`, `FromData`, `Eye` and the rest of NumPy's constructors, float64 throughout."
what = "`Zeros`, `Ones`, `Full`, `Arange`, `Linspace`, `FromData`, `Eye` and the rest of NumPy's constructors, in any dtype (`ZerosOf`, `FromSlice`)."
[[params.families]]
name = "Views and indexing"
what = "`Reshape`, `Transpose` and NumPy basic indexing with `Slice(All(), A(0), …)`: strided views that share data, no copy."
Expand All @@ -78,7 +81,16 @@ disableKinds = ['taxonomy', 'term', 'rss', 'sitemap', '404']
what = "`Concatenate`, `Stack` and the shape operations NumPy users reach for."
[[params.families]]
name = "Linear algebra"
what = "`MatMul` and `Dot` through a panel-packed, cache-blocked GEMM with a go-asmgen SIMD micro-kernel per architecture."
what = "`MatMul` and `Dot` through a panel-packed, cache-blocked GEMM with a go-asmgen SIMD micro-kernel per architecture; package `linalg` is `numpy.linalg` (`Solve`, `Inv`, `Det`, `QR`, `SVD`, `Eig`, `Lstsq`, …), checked against numpy 2.5.3 on 1,040 cases."
[[params.families]]
name = "Fourier transforms"
what = "Package `fft` is `numpy.fft` on arrays: `FFT`, `RFFT`, `FFT2`, `FFTN` and the rest, with `n`/`s`, `axes` and `norm`, over go-fft."
[[params.families]]
name = "Random numbers"
what = "Package `random` is `numpy.random` with NumPy's numbers for the same seed: PCG64, MT19937, Philox, SFC64, 40 samplers, and the legacy `RandomState`."
[[params.families]]
name = "Notebooks and storage"
what = "`Repr` prints like NumPy, `Display` gives a notebook text and HTML, and `MarshalBinary` writes the same bytes on every architecture."
[[params.families]]
name = "Workspace"
what = "An arena for loops: `Use`, `Reset`, `Detach` — results stop costing the garbage collector from one pass to the next."
4 changes: 2 additions & 2 deletions layouts/index.html
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Expand Up @@ -18,8 +18,8 @@

<div class="hero"><div class="wrap">
<div>
<h1 class="head">NumPy-style n-dimensional arrays in pure Go.<br><span class="accent">float64, multicore + SIMD.</span></h1>
<p class="sub"><b>go-ndarray</b> is the <code>numpy</code> equivalent for Go: a float64 n-dimensional array with creation routines, <b>strided views that share data</b>, broadcasting elementwise ops and ufuncs, reductions (incl. arg / cumulative / clip / where), manipulation, and linear algebra (a panel-packed, cache-blocked GEMM) — all in <b>pure Go, with cgo disabled</b>.</p>
<h1 class="head">NumPy-style n-dimensional arrays in pure Go.<br><span class="accent">13 dtypes, multicore + SIMD.</span></h1>
<p class="sub"><b>go-ndarray</b> is the <code>numpy</code> equivalent for Go: an n-dimensional array in <b>13 dtypes</b> with creation routines, <b>strided views that share data</b>, broadcasting elementwise ops and ufuncs, reductions (incl. arg / cumulative / clip / where), manipulation, linear algebra (a panel-packed, cache-blocked GEMM, and <code>numpy.linalg</code>), <code>numpy.fft</code> and <code>numpy.random</code> — all in <b>pure Go, with cgo disabled</b>.</p>
<div class="cta">
<a class="btn btn-primary" href="https://go-ndarray.github.io/docs/">{{ partial "icons/book.html" . }}Read the documentation →</a>
<a class="btn btn-ghost" href="/playground/">{{ partial "icons/play.html" . }}Try it in your browser</a>
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