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Products that do what Record breaking performance for Python, 6.2 mi req/s in TechEmPower does
socketify.py just break the record for Python and now is the fastest Python framework in TechEmPower, is even faster than Golang Fiber that got 5.9 mi req/s https://github.com/cirospaciari/socketify.py https://www.techempower.com/benchmarks/#section=test&runid=1...
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2023 · 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
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2023 · github.com
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A few months ago, I benchmarked FastAPI on an i9 MacBook Pro. I couldn't believe my eyes. A primary REST endpoint to `sum` two integers took 6 milliseconds to evaluate. It is okay if you are targeting a server in another city, but it should be less when your client and server apps are running on the same machine. FastAPI would have bottleneck-ed the inference of our lightweight UForm neural networks recently trending on HN under the title "Beating OpenAI CLIP with 100x less data and compute". (Thank you all for the kind words!) So I wrote another library. It has been a while since I have…
2023 · github.com
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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
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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
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Hey HN, I'm 13, from Nigeria, and I just released PrinceJS — the fastest web framework for Bun right now. • 19,200 req/s (beats Hono/Elysia/Express) • 2.8 kB gzipped • Tree-shakable (cache, AI, email, cron, SSE, queue, test, static...) • Zero deps. Zero config. Built in < 1 week. No team. Just me and Bun. Try it: `bun add princejs` GitHub: https://github.com/MatthewTheCoder1218/princejs Docs: https://princejs.vercel.app Brutal feedback welcome. What's missing? – @Lil_Prince_1218
Nov 2025 · princejs.vercel.app
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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
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2023 · github.com
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Yes, Python. I can already hear the screams from the rafters telling me how terrible of a choice Python is - but in my case, I valued modularity, extensibility, hackability over raw performance. (It was also a challenge to myself to see how far I can get without referencing existing implementations) Synchrotron processes nodes: simple Python classes with typed I/O and a render() method for processing. It can be as concise as 5 lines: class IncrementNode(Node): input: StreamInput output: StreamOutput def render(self, ctx): self.out.write(self.a.read(ctx) + 1) Nodes can then be spawned…
2025 · synchrotron.thatother.dev
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2021 · github.com
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2020 · github.com
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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
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A high-performance internet radio streaming server written in Python with Cython optimizations.
Feb 2026 · github.com
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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.
2023 · medium.com
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2019 · fastapi.tiangolo.com
- 19FO
Recently, I saw few Python accelerators getting a lot of attention, and I thought it would be a good time to finally present the project that we will make available to test in the upcoming days. Flyable is an ahead-of-time compiler that takes your Python code, analyses it, and outputs very optimized machine code. Micro-benchmarks show that it produces programs that run between 10-70x time faster than Python. Flyable is certainly one of the fastest and easiest ways to accelerate your Python code. It finally allows Python to compete in the ring of fast and efficient languages without having to…
2020
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Hi everyone! I've been working on a web search interface for Python's documentation as a personal project, and I think it's ready for other people to use... Please give it a go (and join me in praying to the server gods): https://pythondocs.xyz/ Here's the tech stack for those interested: - Parser: Beautiful Soup + Mozilla Bleach - Database: in-memory SQLite (aiosqlite) + SQLAlchemy - Web server: FastAPI + Uvicorn + Jinja2 - Front end: Tailwind CSS + htmx + Alpine.js I have ideas for future improvements but hopefully the current version is useful to someone. Let me know what…
2022 · pythondocs.xyz
- 21BA
Hi HN, We’ve all accepted the "Python tax"—you trade execution speed for developer happiness. But what if that trade-off was a thing of the past? I just came across BustAPI, and it’s basically a "cheat code" for Python web services. It’s not just another wrapper; it’s a hybrid engine that embeds a Rust (Actix-Web) core directly into the Python runtime. Is this the end of the "slow Python" era? The benchmarks are pretty shocking. I’d love to see someone stress-test this against a production-grade Go or Node.js setup. Repo: https://github.com/GrandpaEJ/BustAPI Benchmarks:…
Dec 2025 · github.com
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Quick Links: - PyPI: https://pypi.org/project/axon-api/ - GitHub: https://github.com/b-is-for-build/axon-api - Deployment Script: https://github.com/b-is-for-build/axon-api/blob/master/examp... Axon is a 507-line, pure Python WSGI framework that achieves up to 237MB/s file streaming on $8/month hardware. The key feature is the dynamic bundling of multiple files into a single multipart stream while maintaining bounded memory (<225MB). The implementation saturates CPU before reaching I/O limits.…
2025 · bellone.com
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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
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2022 · github.com
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