Express
aeon
Our great sponsors
Express | aeon | |
---|---|---|
- | 4 | |
847 | 794 | |
-0.2% | 5.0% | |
0.0 | 9.8 | |
over 5 years ago | 5 days ago | |
Swift | Python | |
GNU General Public License v3.0 only | BSD 3-clause "New" or "Revised" 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.
Express
We haven't tracked posts mentioning Express yet.
Tracking mentions began in Dec 2020.
aeon
What are some alternatives?
Swifton - A Ruby on Rails inspired Web Framework for Swift that runs on Linux and OS X
sktime - A unified framework for machine learning with time series
Vapor - 💧 A server-side Swift HTTP web framework.
Swift-Server - A very basic proof-of-concept Swift HTTP server that does not require Foundation
Perfect - Server-side Swift. The Perfect core toolset and framework for Swift Developers. (For mobile back-end development, website and API development, and more…)
scikit-learn-ts - Powerful machine learning library for Node.js – uses Python's scikit-learn under the hood.
Kitura - A Swift web framework and HTTP server.
jan - Jan is an open source alternative to ChatGPT that runs 100% offline on your computer. Multiple engine support (llama.cpp, TensorRT-LLM)
swifter - Tiny http server engine written in Swift programming language.
darts - A python library for user-friendly forecasting and anomaly detection on time series.
Embassy - Super lightweight async HTTP server library in pure Swift runs in iOS / MacOS / Linux
PyPOTS - A Python toolbox/library for reality-centric machine/deep learning and data mining on partially-observed time series with PyTorch, including SOTA neural network models for science tasks of imputation, classification, clustering, and forecasting on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data.