Read n-d arrays
+Read n-d array like-data
DiskArrays.jl
Get your chunks!
@@ -32,11 +31,11 @@ href="https://juliaio.github.io/Zarr.jl/latest/" target="_blank" > - + -Out of memory
+Out of memory data
Zarr.jl
-Cloud storage
+Chunkerd, compressed !
- +Rasterized spatial data
Rasters.jl
-Read, write and manipulate
+Read and manipulate !
- +Array-oriented data
NetCDF.jl
-Scientific binary data
+Scientific binary data.
+ + + + + +Raster and vector data
+ArchGDAL.jl
+GDAL in Julia.
+ + + + + +An interface for
+GeoInterface.jl
+geospatial data in Julia.
+ + + + + +A higher level interface
+GRIBDatasets.jl
+for reading GRIB files.
Array-oriented data
NCDatasets.jl
-Scientific binary data
+Scientific binary data.
@@ -99,7 +134,7 @@ transition: border-color 0.5s; } .enjoyer:hover { - border: 2px solid var(--vp-c-brand-light); + border: 2px solid var(--vp-c-brand-lighter); } .enjoyer img { transition: transform 0.5s; @@ -111,7 +146,7 @@ .enjoyer .heading { background-image: linear-gradient( 120deg, - #b047ff 16%, + #6887b1 16%, var(--vp-c-brand-lighter), var(--vp-c-brand-lighter) ); diff --git a/docs/src/index.md b/docs/src/index.md index 9c52c07f..35906a4e 100644 --- a/docs/src/index.md +++ b/docs/src/index.md @@ -6,27 +6,29 @@ layout: home hero: name: "YAXArrays.jl" text: "Yet another xarray-like Julia package" - tagline: A package for operating on out-of-core labeled arrays, based on stores like NetCDF, Zarr or GDAL + tagline: A package for operating on out-of-core labeled arrays, based on stores like NetCDF, Zarr or GDAL. image: src: /logo.png alt: VitePress actions: - theme: brand text: Getting Started - link: /api-examples - - theme: alt - text: API reference - link: /api-examples + link: /getting_started - theme: alt text: View on Github - link: /api-examples + link: https://github.com/JuliaDataCubes/YAXArrays.jl + - theme: alt + text: API reference + link: /api features: - - title: Data - details: Open datasets from a variety of sources (NetCDF, Zarr, ArchGDAL). + - title: Flexible I/O capabilities + details: Open and operate on NetCDF and Zarr datasets directly. Or bring in data from other sources with ArchGDAL.jl, GRIBDatasets.jl, GeoJSON.jl, HDF5.jl, Shapefile.jl, GeoParquet.jl, etc. + link: /UserGuide/openZarr - title: Interoperability - details: Interoperability with other named axis packages through YAXArrayBase. + details: Well integrated with Julia's ecosystem, i.e., distributed operations are native. And plotting with Makie.jl is well supported. + - title: Named dimensions and GroupBy + details: Apply operations over named dimensions, select values by labels and integers as well as efficient split-apply-combine operations with groupby via DimensionalData.jl. - title: Efficiency - details: Efficient `mapslices(x)` operations on huge multiple arrays, optimized for high-latency data access (object storage, compressed datasets). ---- + details: Efficient mapslices(x) and mapCube operations on huge multiple arrays, optimized for high-latency data access (object storage, compressed datasets). ``` \ No newline at end of file