crates.io · npm
hashintel/hash
🚀 The open-source, multi-tenant platform for self-building knowledge graphs and simulation
Власна ліцензія16 серп. 2026 р. · метрики 2.10.0
Усі теги
Тег каталогу
#apple-silicon
Усі репозиторії публічного реєстру з цим тегом — із тем GitHub або ключових слів, які публікують їхні реєстри пакетів. Здоров'я вимірюється за тією ж версіонованою методологією, що й решта реєстру.
32 записи
PyPI
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.
MIT28 серп. 2026 р. · метрики 2.10.0
PyPI
Blaizzy/mlx-vlm
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
MIT28 серп. 2026 р. · метрики 2.10.0
PyPI
raullenchai/Rapid-MLX
The fastest local AI engine for Apple Silicon. 4.2x faster than Ollama, 0.08s cached TTFT, 100% tool calling. 17 tool parsers, prompt cache, reasoning separation, cloud routing. Drop-in OpenAI replacement. Works with Claude Code, Cursor, Aider.
Apache-2.02 серп. 2026 р. · метрики 2.10.0
Go
defilantech/LLMKube
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.
Apache-2.05 вер. 2026 р. · метрики 2.10.0
npm · crates.io
drakulavich/kesha-voice-kit
Give your tools a voice — speech to text and back, 25 languages, up to ~19× faster than Whisper. On your machine.
MIT28 лип. 2026 р. · метрики 2.10.0
PyPI · npm
rajveer43/VeloxQuant-MLX
Fast KV-cache quantization for Apple Silicon (MLX) — 43 research-adapted compression methods with Metal kernels
MIT5 вер. 2026 р. · метрики 2.10.0
npm
achiya-automation/safari-mcp
Native Safari browser automation for AI agents. 80 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chrome DevTools MCP with 40-60% less CPU/heat on Apple Silicon.
MIT17 лип. 2026 р. · метрики 2.10.0
PyPI · npm
youssofal/MTPLX
3x decode TPS increase On Qwen 3.6 27B @ temp 0.6 | Native MTP Speculative Decoding On Apple Silicon With No External Drafter.
Apache-2.02 серп. 2026 р. · метрики 2.10.0
PyPI
manjunathshiva/turboquant-mlx
Extreme weight + KV cache compression for LLMs on Apple Silicon (MLX implementation of Google's TurboQuant)
Власна ліцензія28 серп. 2026 р. · метрики 2.10.0
—
Arthur-Ficial/apfel
The free AI already on your Mac. CLI tool, OpenAI-compatible server, and interactive chat — all on-device via Apple Intelligence. No API keys, no cloud, no downloads.
MIT4 серп. 2026 р. · метрики 2.10.0
PyPI
jundot/omlx
LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar
Apache-2.05 серп. 2026 р. · метрики 2.10.0
PyPI
lpalbou/mlx-gen
Generative image model runtimes for MLX.
MIT18 лип. 2026 р. · метрики 2.10.0
crates.io · npm · PyPI
ohdearquant/lattice
Run, quantize, and fine-tune LLMs on Apple Silicon. Pure Rust, no Python, no CUDA, no ONNX
Apache-2.022 серп. 2026 р. · метрики 2.10.0
PyPI
michaelellis003/smcx
State-space inference in JAX: Kalman and particle filters, tempered SMC, and SMC²
Apache-2.026 лип. 2026 р. · метрики 2.10.0
PyPI
tillahoffmann/jax-mps
A JAX backend for Apple Metal Performance Shaders (MPS), enabling GPU-accelerated JAX computations on Apple Silicon.
Apache-2.018 лип. 2026 р. · метрики 2.10.0
npm
arcships/light-ocr
Fast, offline OCR for Node.js & C++. PP-OCRv6 with Core ML / WebGPU hardware acceleration — recognize text in images with confidence scores & coordinates. npm: @arcships/light-ocr
Apache-2.031 лип. 2026 р. · метрики 2.10.0
PyPI
jagoff/memo
Persistent semantic memory for AI agents — 100% local on Apple Silicon (MLX) or Linux/Ubuntu (CPU). Markdown source of truth, sqlite-vec + BM25 hybrid search, a codegraph-backed knowledge graph, MCP server + CLI. No cloud, no keys.
MIT22 лип. 2026 р. · метрики 2.10.0
PyPI
binlecode/actop
Apple Silicon (M1–M4) power, GPU, ANE & memory-bandwidth monitor — sudoless TUI + Python API for profiling local LLM / MLX / CoreML inference
MIT29 лип. 2026 р. · метрики 2.10.0
PyPI
asher/mlx-kquant
Native K-quant support for MLX, with a quantization and fine-tuning toolchain for Apple Silicon
MIT23 серп. 2026 р. · метрики 2.10.0
NuGet
ooples/AiDotNet.Tensors
The fastest .NET tensor library. Beats MathNet (6x), NumSharp (3200x), matches TorchSharp CPU - pure managed C# with hand-tuned AVX2/FMA SIMD kernels. Optional CUDA/OpenCL GPU acceleration.
Apache-2.06 вер. 2026 р. · метрики 2.10.0
PyPI · npm
jjang-ai/vmlx
vMLX - JANGTQ Uber Compressed MLX Models - L2 Disk Cache (survives restart) + L1 Paged (super fast ttft) + Hybrid SSM Scheduler + Cont Batching + etc!
Apache-2.024 лип. 2026 р. · метрики 2.10.0
PyPI
druide67/asiai
Multi-engine LLM benchmark & monitoring CLI for Apple Silicon
Apache-2.018 лип. 2026 р. · метрики 2.10.0
PyPI · npm · RubyGems
hack-different/apple-knowledge
A collection of reverse engineered Apple things, as well as a machine-readable database of Apple hardware
MIT4 серп. 2026 р. · метрики 2.10.0
—
DLTcollab/sse2neon
A translator from Intel SSE intrinsics to Arm/Aarch64 NEON implementation
MIT20 лип. 2026 р. · метрики 2.10.0
Go
saiyam1814/kiac
Local Kubernetes on Apple's container framework - every node is its own lightweight VM. Metrics, storage, and LoadBalancer included.
MIT18 лип. 2026 р. · метрики 2.10.0
Go
lynicis/applecontainer-go
A testcontainers-go-style Go library for spinning up Apple Container CLI Linux containers as test dependencies on macOS.
MIT15 лип. 2026 р. · метрики 2.10.0
PyPI
jjang-ai/jangq
JANG — GGUF for MLX. YOU MUST USE JANG_Q RUNTIME. Adaptive Mixed-Precision Quantization + Runtime for Apple Silicon
Без ліцензії22 лип. 2026 р. · метрики 2.10.0
PyPI
ARahim3/mlx-dspark
Up to 4× faster LLM decoding on Apple Silicon, lossless. Native MLX port of DeepSeek's DSpark & z-lab's DFlash speculative decoding — Gemma-4, Qwen3.8, Muse-Glimmer, Nemotron, Ornith-1.0, ternary Bonsai-27B.
MIT19 серп. 2026 р. · метрики 2.10.0
PyPI · npm
yasyf/cc-sentiment
Everyone swears Claude got lazier. Bring receipts.
Без ліцензії18 лип. 2026 р. · метрики 2.10.0