Code Stars
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Code Stars provides notifications about GitHub repositories that are gaining a significant number of stars in a short period of time. Be the first to find out about trending repositories that everybody will be talking about soon.
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below/HelloSilicon
An introduction to ARM64 assembly on Apple Silicon Macs
Language:Assembly
Total stars: 3338
Stars trend:
21 May 2024
12am █▏ +9
1am █▌ +12
2am ▉ +7
3am █▍ +11
4am ▌ +4
5am ▊ +6
6am ▋ +5
7am ▉ +7
8am ▎ +2
9am ▋ +5
10am ▌ +4
11am ▌ +4

#assembly
#aarch64, #apple, #applesilicon, #arm, #arm64, #assembler, #assembly, #clangassembler, #darwin, #ios, #m1, #macho, #macos
context-labs/mactop
mactop - Apple Silicon Monitor Top written in pure Golang! Under 1,000 lines of code.
Language:Go
Total stars: 572
Stars trend:
22 May 2024
3am ▌ +4
4am ▏ +1
5am ▊ +6
6am █▎ +10
7am ▌ +4
8am █▏ +9
9am █ +8
10am ▊ +6
11am ▍ +3
12pm ▎ +2
1pm █▎ +10
2pm ███▋ +29

#go
#apple, #applesilicon, #arm64, #asitop, #cpumonitoring, #go, #golang, #gpumonitoring, #macos, #monitoring, #terminal, #termui, #top
Oct4Pie/archify
save space by turning universal binaries to native
Language:Swift
Total stars: 166
Stars trend:
12 Oct 2024
7am ██▏ +17
8am ███▍ +27
9am ██▌ +20
10am █▍ +11
11am █ +8

#swift
#applesilicon, #applesilicon, #macos, #universalbinary
Blaizzy/mlx-audio
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
Language:Python
Total stars: 1009
Stars trend:
8 May 2025
5am ▍ +3
6am ▍ +3
7am ▏ +1
8am ▍ +3
9am +0
10am ▋ +5
11am █▍ +11
12pm █▍ +11
1pm ▍ +3
2pm █▊ +14
3pm █▊ +14
4pm █ +8

#python
#applesilicon, #audioprocessing, #mlx, #multimodal, #speechrecognition, #speechsynthesis, #speechtotext, #texttospeech, #transformers
dipampaul17/KVSplit
Run larger LLMs with longer contexts on Apple Silicon by using differentiated precision for KV cache quantization. KVSplit enables 8-bit keys & 4-bit values, reducing memory by 59% with <1% quality loss. Includes benchmarking, visualization, and one-command setup. Optimized for M1/M2/M3 Macs with Metal support.
Language:Python
Total stars: 144
Stars trend:
16 May 2025
7pm ▏ +1
8pm █████▌ +44
9pm ████▊ +38
10pm ███▋ +29
11pm ██▎ +18

#python
#applesilicon, #generativeai, #kvcache, #llamacpp, #llm, #m1, #m2, #m3, #memoryoptimization, #metal, #optimization, #quantization