Changelog & Release Notes

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numpy-ts v1.0.0

• 476 of 507 NumPy functions implemented (94% API coverage)
• Full test suite with 6,000+ tests validated against NumPy
• Zero dependencies — pure TypeScript, no native modules or WebAssembly
• Universal runtime support for Node.js, Bun, Deno, and browsers
• Tree-shakeable ESM build for minimal bundle sizes

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numpy-ts v0.13.1

• String repr fixes for 1.0 by @dupontcyborg in #48

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numpy-ts v0.13.0

• Implemented fft functions by @dupontcyborg in #42
• Implemented all missing random distribution functions (36 functions) by @dupontcyborg in #43
• Pre-1.0.0 improvements by @dupontcyborg in #44
• Refactored library to be tree-shakeable by @dupontcyborg in #46

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numpy-ts v0.12.0

• Added missing functions for reductions, array creation, and array manipulation by @dupontcyborg in #37
• Added missing functions for statistics, bit operations, and set operations by @dupontcyborg in #38
• Implemented complete linear algebra coverage (100%) by @dupontcyborg in #39
• Implemented other math and utilities functions by @dupontcyborg in #40
• Implemented polynomial and type checking functions by @dupontcyborg in #41

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numpy-ts v0.11.0

• Added fancy indexing (iindex/bindex) and document NumPy divergences by @dupontcyborg in #34
• Added complex number support (complex64, complex128) by @dupontcyborg in #35 & #36

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numpy-ts v0.10.0

• Implemented statistics functions (bincount, digitize, histogram, histogram2d, histogramdd, correlate, convolve, cov, corrcoef) by @dupontcyborg in #27
• Implemented np.random module with 17 functions by @dupontcyborg in #28
• Implemented logic functions for 100% category coverage by @dupontcyborg in #29
• Full API tracking by @dupontcyborg in #30
• Implemented feature gap analysis and missing NDArray properties by @dupontcyborg in #31
• Implemented miscellaneous missing methods by @dupontcyborg in #32
• Bumped workflow Node versions to 24 by @dupontcyborg in #33

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numpy-ts v0.9.0

• Implemented numpy.linalg module (19 functions) by @dupontcyborg in #24
• Implemented exponential and gradient functions by @dupontcyborg in #25
• Implemented rounding and set operations with full NumPy compatibility by @dupontcyborg in #26

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numpy-ts v0.8.0

• Added missing I/O functions by @dupontcyborg in #22
• Implemented sorting and searching functions by @dupontcyborg in #23

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numpy-ts v0.7.0

• Added indexing functions to achieve 100% Indexing API coverage by @dupontcyborg in #20
• Added bitwise operations (bitwise_and, bitwise_or, bitwise_xor, bitwise_not, invert, left_shift, right_shift, packbits, unpackbits) by @dupontcyborg in #21

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numpy-ts v0.6.0

• Added missing minor functions by @dupontcyborg in #16
• Implemented missing arithmetic and linear algebra functions by @dupontcyborg in #17
• Implemented complete array creation and manipulation functions by @dupontcyborg in #18
• Implemented remaining reductions by @dupontcyborg in #19

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numpy-ts v0.5.0

• Add NPY and NPZ file format support by @dupontcyborg in #12
• Add array manipulation and advanced functions for NumPy parity by @dupontcyborg in #13
• Api + README cleanup by @dupontcyborg in #14
• Trigonometric & hyperbolic functions by @dupontcyborg in #15

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numpy-ts v0.4.0

• Custom BLAS by @dupontcyborg in #11

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numpy-ts v0.3.0

• Arithmetic improvements by @dupontcyborg in #7
• Removed stdlib ndarray and implemented our own by @dupontcyborg in #9
• Updated README by @dupontcyborg in #10

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numpy-ts v0.2.0

• Remaining arithmetic by @dupontcyborg in #3
• Improved unit test coverage by @dupontcyborg in #4
• Potential fix for code scanning alert no. 10: Workflow does not contain permissions by @dupontcyborg in #5
• v0.2.0 by @dupontcyborg in #6

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numpy-ts v0.1.0