NumPy API Coverage & Support
See the supported surface. Find the next gap.
Explore the NumPy catalog across functions, modules, and object members, with NumSharp equivalents, known limitations, C# overloads, and the committed NumPy-oracle contracts that prove each API's parity. The page is generated from the same artifact published by CI.
Summaries, cards, and the explorer follow the selected scope. Availability is available ÷ NumPy APIs in that scope; supporting types, constants, modules, and NumSharp-only APIs do not enter this percentage. “Available” means an exact public member or a reviewed alias exists and is not marked partial/unsupported. The headline comparison also excludes extended APIs. API presence is not a blanket edge-case, dtype, layout, or signature parity claim. Oracle-verified is that claim's evidence: committed NumPy 2.4.2 output (the differential-fuzz corpus plus the .npy, flags and layout oracles) that CI replays against NumSharp, bit-exact or a documented divergence, resolved to the API directly or through an identity or reviewed delegation alias.
Support mix
Select a segment to send that status into the explorer. Hover, focus, or click for its API breakdown.
Surface scoreboard
Every module and object surface in the selected scope. Select a card to explore its APIs.
Capability map
Categories are assigned deterministically by the artifact generator. Select one to investigate it.
API explorer
Search NumPy names, NumSharp targets, signatures, categories, and review notes.