PluginStatsvscode-numpy-viewer installs statistics
By Percy (3 listings) · VS Code Marketplace · Data Science
Display (binary) .npy or .npz files in VSCode.
vscode-numpy-viewer has 505,587 recorded installs on VS Code Marketplace.
It ranks #842 of 2,501 tracked VS Code Marketplace listings by installs.
It is rated 5.0 out of 5 from 3 ratings.
PluginStats has 4 daily observations since Oct 16, 2026; the latest is from Oct 19, 2026.
Rating: 5.00 / 5 from 3 ratings
About vscode-numpy-viewer
Numpy file viewer
! Displaying very large arrays (e.g., size > 10,000,000) is not currently supported.
Display (binary) .npy or .npz files in VSCode.
Change log
Please refer to CHANGELOG.md.
Other Features
• [x] Show array shape. [[see gif]](https://github.com/haochengxia/vscode-numpy-viewer/blob/screenshot/feature_shape.gif?raw=true) • [x] Table view for 2D/1D array. [[see gif]](https://github.com/haochengxia/vscode-numpy-viewer/blob/screenshot/feature_tableview.gif?raw=true) • [ ] Array slice. (In progress)
Supported Data Type
Refer: numpy/typing/tests/data/pass/scalars.py | numpy/typing/tests/test_typing.py
| Status | Name | Description | Abbrev |
| ✅ | uint8 | numpy.unsignedinteger[numpy._typing._8Bit] | u1 | | ✅ | uint16 | numpy.unsignedinteger[numpy._typing._16Bit] | u2 | | ✅ | uint32 | numpy.unsignedinteger[numpy._typing._32Bit] | u4 | | ✅ | uint64 | numpy.unsignedinteger[numpy._typing._64Bit] | u8 | | ✅ | int8 | numpy.signedinteger[numpy._typing._8Bit] | i1 | | ✅ | int16 | numpy.signedinteger[numpy._typing._16Bit] | i2 | | ✅ | int32 | numpy.signedinteger[numpy._typing._32Bit] | i4 | | ✅ | int64 | numpy.signedinteger[numpy._typing._64Bit] | i8 | | ✅ | float16 | numpy.floating[numpy._typing._16Bit] | f2 | | ✅ | float32 | numpy.floating[numpy._typing._32Bit] | f4 | | ✅ | float64 | numpy.floating[numpy._typing._64Bit] | f8 | | | float128 | numpy.floating[numpy._typing._128Bit] | f16 | | | complex64 | numpy.complexfloating[numpy._typing._32Bit, numpy._typing._32Bit] | c8 | |✅ | complex128 | numpy.complexfloating[numpy._typing._64Bit, numpy._typing._64Bit] | c16 | | | complex256 | numpy.complexfloating[numpy._typing._128Bit, numpy._typing._128Bit] | c32 | | ✅ | bool_ | | b1 | | ✅ | str_ | | U | | ✅ | bytes_ | | S | | | datetime64 | | M | | | timedelta64 | | m | | *Alias* | | | | | | ubyte | numpy.unsignedinteger[{dct['_NBitByte']}] | | | | ushort | numpy.unsignedinteger[{dct['_NBitShort']}] | | | | uintc | numpy.unsignedinteger[{dct['_NBitIntC']}] | | | | uintp | numpy.unsignedinteger[{dct['_NBitIntP']}] | | | | uint | numpy.unsignedinteger[{dct['_NBitInt']}] | | | | ulonglong | numpy.unsignedinteger[{dct['_NBitLongLong']}] | | | | byte | numpy.signedinteger[{dct['_NBitByte']}] | | | | short | numpy.signedinteger[{dct['_NBitShort']}] | | | | intc | numpy.signedinteger[{dct['_NBitIntC']}] | | | | intp | numpy.signedinteger[{dct['_NBitIntP']}] | | | | int_ | numpy.signedinteger[{dct['_NBitInt']}] | | | | longlong | numpy.signedinteger[{dct['_NBitLongLong']}] | | | | half | numpy.floating[{dct['_NBitHalf']}] | | | | single | numpy.floating[{dct['_NBitSingle']}] | | | | double | numpy.floating[{dct['_NBitDouble']}] | | | | longdouble | numpy.floating[{dct['_NBitLongDouble']}] | | | | csingle | numpy.complexfloating[{dct['_NBitSingle']}, {dct['_NBitSingle']}] | | | | cdouble | numpy.complexfloating[{dct['_NBitDouble']}, {dct['_NBitDouble']}] | | | | clongdouble | numpy.complexfloating[{dct['_NBitLongDouble']}, {dct['_NBitLongDouble']}] | |
\* bold items are defaults.
Reference
• ludwigschubert/js-numpy-parser • tomoki1207/vscode-pdfviewer • janisdd/vscode-edit-csv
Description from the VS Code Marketplace listing.
Where vscode-numpy-viewer sits in the listing
Each band is one page of 20. Installs on a log scale. Placement is projected from installs, so it can differ from the marketplace's own sort order. Hover a dot to see the listing.
Charts
Images: 30d · 1y · all time · 1600×900 dark
Adoption over time
7/30/90-day growth
Ranking history
Filled points are observed values; hollow points come from Internet Archive snapshots of the listing page. Dashed segments span periods with no observations — values between points are not interpolated.
Recent observations
Full history (4)Similar VS Code Marketplace Data Science plugins
Data source
Install counts, average rating, and rating counts come from the public Visual Studio Marketplace gallery API. Installs are cumulative and exclude updates.
Listing: https://marketplace.visualstudio.com/items?itemName=Percy.vscode-numpy-viewer. First seen Oct 16, 2026; last successful collection Oct 19, 2026. See the methodology.