sysidentpy
A Python Package For System Identification Using NARMAX Models (by wilsonrljr)
Ichor
C++20 Microservice Bootstrapping Framework (by volt-software)
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| sysidentpy | Ichor | |
|---|---|---|
| 7 | 10 | |
| 311 | 174 | |
| - | 3.4% | |
| 8.2 | 9.1 | |
| 16 days ago | 2 months ago | |
| Python | C++ | |
| BSD 3-clause "New" or "Revised" License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
sysidentpy
Posts with mentions or reviews of sysidentpy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-28.
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Contribuição em biblioteca open source
Link para o site da documentação: SysIdentPy - SysIdentPy
- sysidentpy: A Python Package For System Identification Using NARMAX Models
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I'm giving out microgrants to open source projects for the third year in a row! Brag about your projects here so I can see them, big or small!
I'm the only maintainer, but I keep including new features (some exclusives, like the algorithm I've developed in my thesis to create NARMAX models), improving the code and documentation, and fixing bugs.
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A Comparison of Time Series Model Forecasting
benchmark codes: Welcome to SysIdentPy’s documentation! — NARMAX models
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Criei uma biblioteca open source para previsão de séries temporais
github: wilsonrljr/sysidentpy: A Python Package For System Identification Using NARMAX Models (github.com)
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Help with time series analysis
I built a package where you can build polynomial NARMAX models using the most used method for model selection of this class of models in the beckend. In addition, you can built NARX Neural Networks for forecasting problems (this is built on top of Pytorch) and you can use any model that have a fit/predict method (Catboost, any estimator from sklearn) in a NARX configuration to perform infinity-steps-ahead prediction. Maybe its worth a try. Here is the link of the package: GitHub - wilsonrljr/sysidentpy: A Python Package For System Identification Using NARMAX Models
Ichor
Posts with mentions or reviews of Ichor.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-01.
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Ichor v0.3.0 released: async file I/O now included
More information on the async I/O can be found in the docs.
- Ichor v0.2.0: C++ Framework for Event Loops, Dependency Injection and More
- Ichor v0.2.0: C++ Framework for Event Loops, Dependency Injection and premade services, now supports constructor injection
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C++ Show and Tell - March 2023
Ichor v0.2.0 has been released today: https://github.com/volt-software/Ichor/releases/tag/v0.2.0
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Ichor v0.1.0: dependency injection now with co_await
supporting `co_await` for handling events as well as providing an example HTTP implementation showcasing `co_await`.
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I'm giving out microgrants to open source projects for the third year in a row! Brag about your projects here so I can see them, big or small!
I've been working on and off as time permits on Ichor. It's a c++ middleware designed to take away a couple problems I had with writing large scale applications:
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DI in c++ hurt by lack of good libraries?
Kind of tooting my own horn here, but I agree with you and have therefore written my own DI-esque library, Ichor. It does support the use-case of resolve-per-graph, but does this through what Ichor calls filters. Essentially, every created dependency can have a custom filter installed that allows run-time control of which requesting entities are requesting it. The repository has some code examples for you to look at. I'm pretty (but not completely) happy with it.
- Ichor - A framework for combining dependency injection and thread safety with C++20
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What's needed to bring C++20 to the embedded world?
I've been working on bringing C++20 to the soft-realtime domain through Ichor. I've already managed to get dynamic memory allocations to 0 by using memory allocators everywhere.
What are some alternatives?
When comparing sysidentpy and Ichor you can also consider the following projects:
pysindy - A package for the sparse identification of nonlinear dynamical systems from data
kangaru - 🦘 A dependency injection container for C++11, C++14 and later
neural_prophet - NeuralProphet: A simple forecasting package
ConverterNOW - The Unit Converter app: easy, immediate and multi-platform
sktime - A unified framework for machine learning with time series
Simple-Log
rav1e - The fastest and safest AV1 encoder.
mandelbrot-sfml-imgui - Interactive multi-threaded C++ Mandelbrot renderer using SFML + ImGui running at constant 60 FPS
forge - Lua scriptable build tool
tubesync - Syncs YouTube channels and playlists to a locally hosted media server
space-nerds-in-space - Multi-player spaceship bridge simulator. Captain your starship through adventures with your friends. See https://smcameron.github.io/space-nerds-in-space
crystal - The Crystal Programming Language