Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
Upgini vs ONNX-Scala
How do Upgini and ONNX-Scala compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Upgini | ONNX-Scala |
|---|---|---|
| What it is | For machine learning pipelines, Upgini searches and enriches data with features from public and commercial sources. | ONNX-Scala provides an API and backend for deep and classical machine learning in Scala. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both Upgini and ONNX-Scala.
Class-imbalanced machine learning is supported by imbalanced-ensemble, a toolbox for ensemble methods and datasets.
Netron displays neural network, deep learning, and machine learning models across formats such as ONNX, TensorFlow, and PyTorch.
The Pattern Recognition Toolbox provides MATLAB tools for pattern recognition and machine learning.
Automatic machine learning, hyperparameter tuning, and pipeline abstractions are provided by the Neuraxle software library.
The anneal project is a Go machine learning compiler with graph rewriting, autodiff, and a WebGPU backend.







