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OtherActiveGitHub · Python

laya-mlx

Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.

Description provenance: Original source

Measured: Nov 10, 2026 · 51 observations

Open canonical source

Domains & Uses

Domains
Cloud

Check at the source

Compatibility and prerequisites must be checked in the official documentation.

https://github.com/mizorewww/laya-mlx

Classifications

Nature
Tool

Measurement history

Comparable readings are grouped by signal and unit.

Stars

7,084stars · Nov 10, 2026

+208 (+3 %)since Oct 12, 2026

Oct 12, 2026 : 6,876 starsOct 13, 2026 : 6,895 starsOct 14, 2026 : 6,917 starsOct 15, 2026 : 6,934 starsOct 16, 2026 : 6,946 starsOct 17, 2026 : 6,954 starsOct 18, 2026 : 6,967 starsOct 19, 2026 : 6,969 starsOct 20, 2026 : 6,991 starsOct 21, 2026 : 6,990 starsOct 22, 2026 : 6,996 starsOct 23, 2026 : 7,003 starsOct 24, 2026 : 7,018 starsOct 25, 2026 : 7,020 starsOct 26, 2026 : 7,025 starsOct 27, 2026 : 7,028 starsOct 28, 2026 : 7,030 starsOct 29, 2026 : 7,034 starsOct 30, 2026 : 7,039 starsOct 31, 2026 : 7,046 starsNov 1, 2026 : 7,053 starsNov 2, 2026 : 7,063 starsNov 3, 2026 : 7,062 starsNov 4, 2026 : 7,062 starsNov 5, 2026 : 7,067 starsNov 6, 2026 : 7,072 starsNov 7, 2026 : 7,076 starsNov 8, 2026 : 7,075 starsNov 9, 2026 : 7,078 starsNov 10, 2026 : 7,084 stars
Exact values · 30 readings
MeasuredstarsChange
7,084+6
7,078+3
7,075-1
7,076+4
7,072+5
7,067+5
7,0620
7,062-1
7,063+10
7,053+7
7,046+7
7,039+5
7,034+4
7,030+2
7,028+3
7,025+5
7,020+2
7,018+15
7,003+7
6,996+6
6,990-1
6,991+22
6,969+2
6,967+13
6,954+8
6,946+12
6,934+17
6,917+22
6,895+19
6,876·