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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)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.