Alternatives
Products that do what grpyc: Fast gRPC for Python does
Up to 8x faster gRPC. Rust safety. Still Python.
- 1PA
2021 · github.com
- 2IB
Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…
2025 · runpyxl.com
- 3PA
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…
2025 · blog.fxn.ai
- 4CA
2018 · github.com
- 5RA
2023 · github.com
- 6RF
2023 · github.com
- 7GA
Recently, 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.
2023 · github.com
- 8PT
2014 · github.com
- 9GOgRPC over WebRTC▲102
2020 · github.com
- 10

- 11CA
I built Copapy as an experiment: Can Python be used for hard real-time systems? Instead of an interpreter or JIT, Copapy builds a computation graph by tracing Python code and uses a custom copy-and-patch compiler. The result is very fast native code with no GC, no syscalls, and no memory allocations at runtime. The copy-and-patch compiler currently supports x86_64 as well as 32- and 64-bit ARM. It comes as small Python package with no other dependencies - no cross-compiler, nothing except Python. The current focus is on robotics and control systems in general. This project is early but…
Feb 2026 · github.com
- 12SH
2018 · github.com
- 13ZS
2022 · zaplib.com
- 14HP
I built a Rust-powered Wavelet Matrix library for Python. There were surprisingly few practical Wavelet Matrix implementations available for Python, so I implemented one with a focus on performance, usability, and typed APIs. It supports fast rank/select, top-k, quantile, range queries, and even dynamic updates. Feedback welcome!
Dec 2025 · pypi.org
- 15AF
Serialization framework with some interesting numbers: 10-20x faster on nested objects than json/protobuf. Technical approach: compile-time codegen (no reflection), compact binary protocol with meta-packing, little-endian layout optimized for modern CPUs. Unique features that other fast serializers don't have: - Cross-language without IDL files (Rust ↔ Python/Java/Go) - Trait object serialization (Box) - Automatic circular reference handling - Schema evolution without coordination Happy to discuss design trade-offs. Benchmarks:…
Oct 2025 · fory.apache.org
- 16CA
2023 · regmedia.co.uk
- 17PC
Hi HN!I built *pyproc* to let Go services call Python like a local function — *no CGO and no separate microservice*. It runs a pool of Python worker processes and talks over *Unix Domain Sockets* on the same host/pod, so you get low overhead, process isolation, and parallelism beyond the GIL. *Why this exists* * Keep your Go service, reuse Python/NumPy/pandas/PyTorch/scikit-learn. * Avoid network hops, service discovery, and ops burden of a separate Python service. *Quick try (\~5 minutes)* Go (app): ``` go get github.com/YuminosukeSato/pyproc@latest ```…
Sep 2025 · github.com
- 18AM
2025 · github.com
- 19IF
Hello everyone, Today we released iceoryx2 v0.4! iceoryx2 is a service-based inter-process communication (IPC) library designed to make communication between processes as fast as possible - like Unix domain sockets or message queues, but orders of magnitude faster and easier to use. It also comes with advanced features such as circular buffers, history, event notifications, publish-subscribe messaging, and a decentralized architecture with no need for a broker. For example, if you're working in robotics and need to process frames from a camera across multiple processes, iceoryx2 makes it…
2024 · ekxide.io
- 20FA
Today we're announcing frpc-go, an RPC framework that's designed from the ground up to be lightweight, extensible, and extremely performant. In an apples-to-apples comparison fRPC outperforms gRPC by more than 4x, doing more than 2 million RPCs/second on a single node. Check out our docs site at https://frpc.io!
2022 · loopholelabs.io
- 21

An ultra-fast, single-binary MCP server written in Rust as a lightweight alternative to Node.js/Python. - StamManif/mcp-stama
24d ago · github.com
- 22

- 23DT
Hi HN - DBOS CEO here with the co-founders of DBOS, Peter (KraftyOne) and Qian (qianli_cs). The company started as a research project of Stanford and MIT, and Peter and Qian were advised by Mike Stonebreaker, the creator of Postgres, and Matei Zaharia, the creator of Spark. They believe so strongly in reliable, serverless compute that they started a company (with Mike) to bring it to the world! Today we want to share our brand new Python library providing ultra-lightweight durable execution. https://github.com/dbos-inc/dbos-transact-py Durable execution means your program…
2024 · github.com
- 24BM
This project explores the integration of multithreading into the asyncio event loop in Python. While this was initially built with enhancing CPU utilization for FastAPI servers in mind, the approach can be used with more general async programs too. If you’re interested in diving deeper into the details, I’ve written a blog post about it here: https://www.neilbotelho.com/blog/multithreaded-async.html
2024 · github.com
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