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Products that do what BustAPI – A Python framework with a Rust core claiming 50x Flask speed does

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:…

  1. 1FB
  2. 2NJ

    It's very early days for the project, but I wanted to share it to see if there is interest. It is the final piece of the FastAPI server-side rendering stack I started building with FastHX and htmy (the two dependencies of this project besides FastAPI). Think of it as a more powerful and convenient alternative to tools like FastHTML, powered by FastAPI (without any modifications). I hope you'll like it.

    Oct 2025 · volfpeter.github.io

  3. 3FO

    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

  4. 4MW

    This is a little project I've been working on for a while in order to better learn Python. Although IRC may not exactly be the most exciting medium, I still find it to be fun and useful, this interest lead me to writing a bot. In doing this I realized that what would actually be more interesting would be if I had a framework. There may already be such a thing, certainly there are IRC libraries, but I don't know if they're well-suited to deploying bots. At any rate if for no other reason than the fact that I am relatively new to programming and eager to learn I decided to build a framework.…

    2011

  5. 5IM

    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

  6. 6SU
  7. 7AE

    actually, nothing special about this implementation. just another event loop written in rust for educational purposes and joy in tests it shows seamless migration from uvloop for my scraping framework https://github.com/BitingSnakes/silkworm with APIs (fastapi) it shows only one advantage: better p99, uvloop is faster about 10-20% in the synthetic run currently, i am forking on the win branch to give it windows support that uvloop lacks

    Mar 2026 · github.com

  8. 8WA

    The Problem I’ve been using BeautifulSoup for sometime. It’s the standard for ease-of-use in Python scraping, but it almost always becomes the performance bottleneck when processing large-scale datasets. Parsing complex or massive HTML trees in Python typically suffers from high memory allocation costs and the overhead of the Python object model during tree traversal. In my production scraping workloads, the parser was consuming more CPU cycles than the network I/O. Lxml is fast but again uses up a lot of memory when processing large documents and has can cause trouble with malformed…

    Apr 2026

  9. 9NA

    Hi, over the past few months I've been working on this project: Numax is a small Rust runtime that does three things: it runs WebAssembly modules in a sandbox, has a built-in local key-value store, and syncs everything across nodes with CRDTs and gossip. Basically, you write a wasm module, run it on two machines, and they converge (I hope !). It's a decentralized system... I hope someone finds it interesting! There's a whitepaper I've put a lot into, and I think the code isn't bad either! I believe there's still room in this world for software that's fun and well made, and while building…

    Jun 2026 · github.com

  10. 10IE

    Quick note on how it works and how I've done my batch embedding engine IgniteMS. The whole thing runs as one process using Rust, reading input, tokenizing, packing batches, keeping the queue full. TensorRT handles inference. Python is only as a wrapper. I built it this way because when you use more than couple of GPUs, the GPUs stop being the problem. CPU cannot feed them fast enough. One A100 can go through batches faster than Python can tokenize and feed, so the GPU just sits there idle waiting for work. Most of my time went into optimizing this. At 8 GPUs that was basically the entire…

    Jun 2026 · github.com

  11. 11FP

    As developers, we've used StackOverflow, blogs, tutorials, etc to solve our day-to-day code issues and we've been able to find answers to virtually all of our questions. At the same time, CodePen, CodeSandbox, JSFiddle, etc have made it simple to share and execute code for frontend developers but when I look for folks working at the backend side (preferably Python) there is nothing that entices the whole developer community yet. While other Python sandbox solutions are available, they do not provide installation choices or are not intended for embedding and sharing. With this thought, we…

    2022 · pythonsandbox.dev

  12. 12AA

    Hey HN! We built Achilles, a tool that automatically accelerates your Python code. It identifies performance bottlenecks, rewrites those functions in optimized C++, and seamlessly patches them into your running program—without you changing a single line of code. In CPU-intensive, loop-heavy tasks, we've observed performance improvements of 100-1000x. Achilles can be installed via pip and works with just a single command. We'd appreciate your feedback, and feel free to give us a star if you find it interesting!

    2025 · github.com

  13. 13WI

    Hey Everyone, I just ran a [rather silly] race between Puppeteer (JS), Playwright (Python) and Selenium (Python) to see which one would be fastest on a simple scrape (using Google Colab so you can also run it) Far from a comprehensive benchmark, this race is 100% free from advanced configurations, multi-threading or anything complicated. It just opens Wallapop (a second hand marketplace in Spain) and times how long it takes to extract the first 2000 results of a search. If you like this simple format, have any ideas on how to improve a race like this or have a strong urge to prove Ward…

    2023 · colab.research.google.com

  14. 14BO

    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…

    2025 · bhumi.trilok.ai

  15. 15PR

    The author also wrote a blog post on how to use it with Bytewax, a Python stream processor, to read and analyze Mastadon posts. https://bytewax.io/blog/top-kat-and-streaming-algorithms-in-...

    2023 · github.com

  16. 16LS

    Earlier this year, I took a month to reexamine my coding habits and rethink some past design choices. I hope to rewrite and improve my FOSS libraries this year, and I needed answers to a few questions first. Perhaps some of these questions will resonate with others in the community, too. - Are coroutines viable for high-performance work? - Should I use SIMD intrinsics for clarity or drop to assembly for easier library distribution? - Has hardware caught up with vectorized scatter/gather in AVX-512 & SVE? - How do secure enclaves & pointer tagging differ on Intel, Arm, & AMD? - What's…

    2025 · github.com

  17. 17UI

    Hey everyone! I am excited to share updates on four of my & my teams' open-source projects that take large-scale search systems to the next level: USearch, UForm, UCall, and StringZilla. These projects are designed to work seamlessly together, end-to-end—covering everything from indexing and AI to storage and networking. And yeah, they're optimized for x86 AVX2/512 and Arm NEON/SVE hardware. USearch [1]: Think of it as Meta FAISS on steroids. It's now quicker, supports clustering of any granularity, and offers multi-index lookups. Plus, it's got more native bindings than probably…

    2023 · usearch-images.com

  18. 18RR

    I built rapid-rs to eliminate the hours of boilerplate when starting a new Rust web service. One command gets you: - Auto-configured DB, logging, CORS - OpenAPI/Swagger UI at /docs - Request validation - Production-ready observability Built on Axum. Early benchmarks show ~50K req/s with 10-20MB RAM. This is v0.1 - feedback welcome! Crates: https://crates.io/crates/rapid-rs

    Nov 2025 · crates.io

  19. 19AP
  20. 20TR

    Hi HN, Today I'm showcasing Trunchbull, a benchmarking platform designed for authoring benchmarks and running them against different models. We have direct support for benchmarks that use the harbor authoring system, custom tool authoring via the vercel ai sdk and configuration limits. We've also already imported terminalbench 2.0, as a sort of proof of concept that our harbor task orchestrator works, although you currently need a paid account as we are provisioning sandbox environments. I've made several popular benchmarks publicly available for testing. You dont need an account or your…

    24d ago · trunchbull.dev

  21. 21PC

    Hi HN! I recently built Neutrino Notebooks, an open source python library for compiling Jupyter notebooks into FastAPI apps. I work with notebooks a ton and typically find myself refactoring notebook code into a backend or some other python script. So, I made this to streamline that process. In short, it lets you: - Expose cells as HTTP or websockets endpoints with comment declaratives like `@HTTP` and `@WS` - Periodically run cells as scheduled tasks for simple data pipelines with `@SCHEDULE` - Automatic routing based on filename and directory structure, sort of similar to NextJs. - Ignore…

    2023 · docs.neutrinolabs.dev

  22. 22RH
  23. 23ID

    Hello, I have several years of experience as a Python developer, and during that time, I've worked on intricate applications dealing with large volumes of data. One frequent challenge I faced was benchmarking the application and identifying performance bottlenecks. While there are some excellent Python profiling tools available, they can be quite daunting for beginners. The utility I have developed simplifies this process, making it as straightforward as possible to transition from slow code to a detailed flame chart. I would greatly appreciate your feedback!

    2023 · github.com

  24. 24AO

    Hi It's Logan (op) and David, we are launching our first open source Python SDK generator with other languages to come :) We built this because we believe that the OpenAPI Generator project is a mess and simply doesn't work for most users (us included). Additionally, proprietary generators miss the mark for complex use cases, and restrict developers from doing what they do best: writing code. On top of all that they force you into proprietary configuration layers for many desirable features which increases vendor lock in and pulls you further away from your API spec as the source of truth.…

    2025 · github.com

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