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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.
Health stats visible at Monitor.