grpyc: Fast gRPC for Python
Up to 8x faster gRPC. Rust safety. Still Python.
grpyc: Fast gRPC for Python launched on May 28, 2026 with 9 votes, #1,305 of 20,538 launches that month and more than 90% of that year's launches.
What it does
grpyc is a drop-in, API-compatible gRPC replacement for Python, built in Rust. Up to 8x faster throughput, 2x lower latency, zero memory leaks. Memory safe by default. Enterprise supported.
grpyc is a drop-in replacement for grpcio 1.80, built in Rust. Up to 8x throughput on GKE, 2x lower latency, zero memory leaks. Runs everywhere from Raspberry Pi to IBM Z mainframes. Change one import. vLLM, Triton, and TensorFlow Serving rely on gRPC between clients and inference workers. Python's grpcio adds latency that wastes expensive GPU time. grpyc reduces it. grpyc delivers tokens faster than REST or grpcio in simulated vLLM inference with 50-token responses. Lower transport latency means requests reach the GPU faster, improving batch fill rates and overall GPU utilization. Faster request delivery fills GPU batches more efficiently. Less time waiting on Python means more tokens per…from grpyc.com
Does a similar job
all alternatives →
Prometeo – a Python-to-C transpiler for high-performance computing2021 · github.com · ▲166An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing - zanellia/prometeo
- PAPython at the Speed of Rust2025 · blog.fxn.ai · ▲68
I’m sure many of you are familiar, but there’s a treacherous gap between finding (or building) a model that works in PyTorch, and getting that deployed into your application, especially in consumer-facing applications. I’ve been very interested in solving this problem with a great developer experience. Over time, I gradually realized that the highest-impact thing to have was a way to go from existing Python code to a self-contained native binary—in other words, a Python compiler. I was already pretty familiar with a successful attempt: when Apple introduced armv8 on the iPhone 5s, they…
Robyn – A fast, extensible async Python web server with a Rust runtime2023 · github.com · ▲103Robyn is a Super Fast Async Python Web Framework with a Rust runtime. - sparckles/Robyn
I built a Rust crate for running unsafe code safely2025 · github.com · ▲113A Rust crate for containing memory leaks and fragmentation - brannondorsey/mem-isolate
Gsubpy, an interpreter for subset of Python, written in Go2023 · github.com · ▲65Recently, I write an interpreter for subset of Python using Go. I haven't seen source code of CPython, all is just written according to my understanding of Python so there may be some unusual things. Hope you can play fun with it. Any suggestion is welcome, glad to get some feedback.
RustPython for FreeDOS with W2c22023 · github.com · ▲34A Python Interpreter written in Rust. Contribute to coolcoder613eb/RustPython development by creating an account on GitHub.
More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 30d ago · world.pixverse.video

Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com