This Swift library builds machine learning predictions using linear regression.
The Best MCGrad Alternatives in 2026
Looking for something like MCGrad? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 24 are open source.
MCGrad calibrates machine learning predictions across the full dataset and across segments defined by input features.
Top picks at a glance
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | PredictionBuilder | — | Yes | — |
| 2 | ELI5 | — | Yes | — |
| 3 | LIME | — | Yes | — |
| 4 | PredictionBuilder | — | Yes | — |
| 5 | 19 Questions | — | Yes | — |
| 6 | Intel® oneAPI Data Analytics Library | — | Yes | — |
| 7 | InterpretML | — | Yes | — |
| 8 | LightGBM | — | Yes | Windows |
| 9 | nilearn | — | Yes | — |
| 10 | Fairlearn | — | Yes | — |
All MCGrad alternatives
Python package which helps to debug machine learning classifiers and explain their predictions.
LIME provides explanations for predictions made by machine learning classifiers.
PredictionBuilder builds machine learning predictions using linear regression.
19 Questions assigns attributes to objects using machine learning and Bayesian inference, according to its project description.
oneDAL is a C++ and DPC++ library for accelerated machine learning routines on tabular data, governed by the UXL Foundation.
InterpretML fits interpretable models and explains results from black-box machine learning systems.
The LightGBM framework uses gradient boosting for ranking, classification, and other machine learning tasks.
nilearn provides Python tools for machine learning and neuroimaging analysis.
A Python package to assess and improve fairness of machine learning models.
Manifold provides visual debugging for machine learning models without depending on a specific model type.
DVCLive logs and tracks machine learning metrics, parameters, and models with Git or DVC.
DVC tracks data versions and machine learning experiments for collaborative development.
An open source Python library for drift detection in machine learning systems.
Cleanlab provides a Python library for data quality and machine learning with messy real world data and labels.
Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
AutoViz automatically creates visualizations for datasets of different sizes from a single line of code.
AIF360 provides fairness metrics and explanations for datasets and models, along with algorithms to mitigate bias.
pytorch tabular provides a unified framework for deep learning models on tabular data.
Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.
modAL provides a modular active learning framework for Python built on top of scikit-learn.
The lightly Python library supports self supervised learning on images.
NALP covers Natural Adversarial Language Processing through a dedicated library.
neuropredict evaluates predictive performance using neuroimaging features.
Alternatives to similar tools
What is the best alternative to MCGrad?
Are there open-source alternatives to MCGrad?
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative
























