ahocorasick_rs
Robyn
| ahocorasick_rs | Robyn | |
|---|---|---|
| 1 | 61 | |
| 150 | 3,593 | |
| 2.7% | 7.6% | |
| 8.3 | 9.2 | |
| about 1 month ago | 7 days ago | |
| Python | Python | |
| Apache License 2.0 | BSD 2-clause "Simplified" License |
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.
ahocorasick_rs
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Best way to approach matching text between two datasets in python?
See also: https://github.com/G-Research/ahocorasick_rs
Robyn
- Robyn – Innovator Friendly, and Community Driven Python Web Framework
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Introducing Dependency Injections in Robyn with a Twist!
For those who might not be familiar, Robyn is a fast, asynchronous Python backend web framework that operates with a Rust runtime, combining the best of both worlds for efficient and robust web development.
- Robyn: A Fast, Innovator Friendly, and Community Driven Python Web Framework
- Robyn – Web Framework in Rust
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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.
- Robyn: High-Performance and Community-Driven Python Web Framework
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Robyn passes 1M installs on PyPi.
Robyn's Link - https://github.com/sparckles/robyn
- Robyn v0.38.0 - An improved CLI for create-robyn-app
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Robyn Finds a New Nest: Joining the Sparckles Open-Source Organization
For the unaware, Robyn , is a High-Performance, Community-Driven, and Innovator Friendly Python Web Framework with a Rust runtime.
What are some alternatives?
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MMM-BurnIn
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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.
Pyre - A fast python HTTP server inspired by japronto written in rust. [Moved to: https://github.com/Project-Dream-Weaver/pyre-http]