Memory Optimization Python Packages

mlx-flash

Run AI models too large for your Mac's memory — expert caching, speculative execution, and 15+ research techniques for MoE inference on Apple Silicon

tqai

TurboQuant KV cache compression for local LLM inference

diet-pandas

Automated memory optimization for Pandas DataFrames. Reduces memory by 50-80% and loads CSV 5-10x faster. Drop-in replacement that returns standard DataFrames - works with sklearn, matplotlib, and all your favorite libraries. Safe, fast, and zero refactoring required.

dfreduce

Automatic size reduction for pandas dataframe

langchain-turboquant

LangChain VectorStore with TurboQuant compression (ICLR 2026) - 6x memory reduction, training-free, no GPU required. The first LangChain integration for Google Research's TurboQuant algorithm.

superstring

A fast and memory-optimized string library for heavy-text manipulation