Robyn
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Robyn | tensor-house | |
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61 | 4 | |
3,315 | 1,148 | |
2.6% | - | |
9.1 | 7.5 | |
7 days ago | 2 months ago | |
Python | Jupyter Notebook | |
BSD 2-clause "Simplified" License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Robyn
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FastHttp for Python (64k requests/s)
If you're comparing web frameworks you might also like to look at robyn https://robyn.tech/, which claims impressive performance. It's always tricky tho' to go from benchmarks to a particular use case.
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Robyn v0.32.0 Introduces SubRouters – A Compact Way to Group Routes
Greetings HN Community!
I'm excited to share an update on a project that I've been working on: Robyn (https://github.com/sansyrox/robyn/). For those who might be unfamiliar, Robyn is a fast, asynchronous Python web framework that is built over a Rust runtime.
In the latest release (v0.32.0), we have introduced a feature that I believe many will find useful - SubRouters. This feature provides a more efficient and compact way to group routes, working seamlessly with both standard routes and web sockets. Consider it like a miniature version of the main router, designed to optimize your routing architecture.
You can explore more about this new feature here: https://github.com/sansyrox/robyn/releases/tag/v0.32.0
We are constantly striving to improve and expand Robyn's capabilities, and your feedback is crucial to this process. We would greatly appreciate any thoughts or comments you might have on the SubRouters feature or on Robyn in general. Looking forward to hearing from you all!
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Robyn introduces SubRouters in v0.32.0
Firstly, for the unaware Robyn(github.com/sansyrox/robyn/) is a fast async Python web framework built over a Rust runtime.
- Robyn Framework
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Could someone suggest a development environment and/or tools I could use? I'm looking for an environment similar to a browser. I plan on using Python to display the results of many calculations that would change, maybe every second or half second. With lots of variables involved. More details below.
Roby : https://robyn.tech/
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What libraries does Idris need to increase adoption?
Writing your own web stack from scratch will likely perform worse and have fewer features than binding with a Rust framework. Just see how Robyn is for Python, using pyo3.
- Python's “Disappointing” Superpowers
- Robyn: a fast and extensible async Python web server with a Rust runtime
- Granian – a Rust HTTP server for Python applications
tensor-house
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What are some applications of Data Science in Digital Marketing?
This is the companion github to the book, it doesn't have all the use cases, but there are a decent amount of code samples to get you started.
What are some alternatives?
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
uvicorn - An ASGI web server, for Python. 🦄
MMM-BurnIn
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Python-Regex - A port of the Rust regex library to python for super speed linear matching.
strawberry - A GraphQL library for Python that leverages type annotations 🍓
fastuuid - FastUUID is a library which provides CPython bindings to Rust's UUID library
EconML - ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
granian - A Rust HTTP server for Python applications
Robyn - Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
ormsgpack - Msgpack serialization/deserialization library for Python, written in Rust using PyO3 and rust-msgpack. Reboot of orjson. msgpack.org[Python]