Alternatives
Products that do what FastDataBroker does
Ultra-Fast Distributed Message Queue
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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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2014 · github.com
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PgQueuer is a minimalist, high-performance job queue library for Python, leveraging the robustness of PostgreSQL. Designed for simplicity and efficiency, PgQueuer uses PostgreSQL's LISTEN/NOTIFY to manage job queues effortlessly.
2024 · github.com
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I wanted QR codes to be really simple to implement everywhere and for everyone. So I spent some time on my weekends trying to write a fast QR generator module for Apache, and here are the results: ab -n 5000 -c 100 http://lilqr.com/qr Requests per second: 4301.78 [#/sec] (mean)
2011 · lilqr.com
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2020 · dataspeeder.com
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2018 · pushdata.io
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2017 · github.com
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Hello, Some time ago I did a data logger for fun, just to check if I could beat the performance of an old C++ project of mine (mini-async-log) and to avoid letting my multithreading-C skills rust when on a non-programming gig (using Yocto/OE, very little programming). This project is a BSD licensed, producer-wait-free (when using thread-local storage) generic message logger with high performance, decent test coverage, and type-safe C strings (requires C11 or C++ compiler). It was a shame to let this project to die unknown, as I think that it has potential to be used on some niches as…
2019
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2021 · starqueue.org
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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
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For the last year I’ve been developing Hyperparam — a collection of small, fast, dependency-free open-source libraries designed for data scientists and ML engineers to actually look at their data. - Hyparquet: Read any Parquet file in browser/node.js - Icebird: Explore Iceberg tables without needing Spark/Presto - HighTable: Virtual scrolling of millions of rows - Hyparquet-Writer: Export Parquet easily from JS - Hyllama: Read llama.cpp .gguf LLM metadata efficiently CLI for viewing local files: npx hyperparam dataset.parquet Example dataset on Hugging Face Space:…
2025 · hyperparam.app
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2011 · slowyapp.com
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2018 · github.com
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2015 · github.com
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Hi! I've built this because I kept reaching for Celery for simple scheduled tasks and it felt like overkill. I just needed "run this function every hour" or "daily at 9am", not distributed workers. So it's decorators for scheduling (@scheduler.every(5).minutes, @scheduler.daily.at("09:00")), state saves to JSON so jobs survive restarts, and there's an optional FastAPI dashboard if you want to see what's running. No Redis, no message broker, runs in-process with your app. Trade-off is it's single process only — if you need distributed workers, stick with Celery.
Jan 2026 · github.com
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At JigsawStack.com, we are using Redis by Upstash to store and validate API keys among other datasets for speedy retrieval. As we scaled to more Asian markets and added replicated nodes, the cost started to shoot up while performance got a lot worse. I discovered hosting SQLite on Fly which was crazy fast & cheap with the full power of a relational database but difficult to use and scale without writing tons of code & devops. Then I found Turso as a managed service which is pretty cool but again got really expensive and had to manage a bunch of replications manually and pay per replications…
2024 · dzero.dev
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2019 · github.com
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2017 · github.com
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Hello HN! I want to introduce fastgron, my new project. fastgron is a JSON to GRON converter, built to be incredibly fast – it's 40 times faster than Gron. GRON is a tool for making JSON greppable, but it can slow down with larger files. With fastgron, even a 200MB JSON file can be converted in just 1 second. Key features include streaming conversion for memory efficiency and an optimized path reconstruction for faster operations. It leverages C++ and the simdjson and fast_io libraries for speed. I welcome all feedback, suggestions, or questions. Thank you!
2023 · github.com
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2018 · yamq.io
- 23MW
2017 · github.com
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2022 · wundergraph.com
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