Dhi – 520x faster data validation for Python, 77x faster for TypeScript

I found a serious bottleneck in Python binding of Wasmer and Wasmtime and I found a trick to make 25x faster. Then beat all that using NumPy.

A simple, fast, extensible python library for data validation. New features: * union validator * dynamic dict validator * timedelta validator * enum validator * slug validator * fqdn validator * nested model class GitHub: https://github.com/guyskk/validr Document: https://github.com/guyskk/validr/wiki Usage: https://github.com/guyskk/validr/wiki/Scenario-&-Example

I built a Rust drop-in replacement for svelte-check that's 10-30x faster for Svelte 5 projects. What it does: - Parses Svelte files with a custom Rust parser - Transforms them to TSX in parallel using Rayon - Runs type-checking via Microsoft's tsgo (the native Go port of TypeScript) - Maps errors back to original .svelte locations via source maps Why it's fast: The official svelte-check uses TypeScript's Language Service API optimized for IDEs with persistent connections. Great for autocomplete but slow for batch CLI checks. svelte-check-rs writes real TSX files to disk and runs tsgo as a…

Read the full blogpost at https://rach.codes/blog/Introducing-Bhumi (click on reader to see the technical breakdown!) AI inference should be fast, but in practice it’s painfully slow. Inference bottlenecks slow down LLM-powered chatbots and AI workflows everywhere. I built Bhumi to fix that. Bhumi is a Python library designed for developers, yet its performance-critical core is implemented in Rust (via PyO3) for near-native speed. This hybrid approach delivers up to 2.5x faster response times across providers like OpenAI, Anthropic, and Gemini—without changing the…