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NEWS.md
In jlview: Zero-Copy Julia to R Array Bridge via ALTREP
jlview 0.1.0
Initial release.
Features
- Zero-copy R views of Julia Float64 and Int32 arrays via ALTREP
- Automatic type conversion for Float32, Int64, Int16, and UInt8 arrays
- Sparse matrix support (dgCMatrix) with zero-copy nonzero values
- Named vector and matrix support with atomic dimnames (no COW)
- Scope-based release with
with_jlview()
- ALTREP Sum/Min/Max methods calling Julia directly for performance
- GC pressure tracking with configurable threshold
- Safe cross-runtime garbage collection via C-level finalizers
- Fork safety (mclapply), Julia shutdown safety, double-release protection
- Full serialization support (saveRDS/readRDS)
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jlview documentation built on March 24, 2026, 1:07 a.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
jlview 0.1.0
Initial release.
Features
- Zero-copy R views of Julia Float64 and Int32 arrays via ALTREP
- Automatic type conversion for Float32, Int64, Int16, and UInt8 arrays
- Sparse matrix support (dgCMatrix) with zero-copy nonzero values
- Named vector and matrix support with atomic dimnames (no COW)
- Scope-based release with
with_jlview() - ALTREP Sum/Min/Max methods calling Julia directly for performance
- GC pressure tracking with configurable threshold
- Safe cross-runtime garbage collection via C-level finalizers
- Fork safety (mclapply), Julia shutdown safety, double-release protection
- Full serialization support (saveRDS/readRDS)
Try the jlview package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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