Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
The Best Upgini Alternatives in 2026
Looking for something like Upgini? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 22 are open source.
For machine learning pipelines, Upgini searches and enriches data with features from public and commercial sources.
Top picks at a glance
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Whylogs | — | Yes | — |
| 2 | mlxtend | — | Not stated | — |
| 3 | Microsoft ML for Apache Spark | — | Yes | — |
| 4 | imbalanced-ensemble | — | Yes | — |
| 5 | Streamlit | Free | Yes | — |
| 6 | Geni | — | Yes | — |
| 7 | gensim | — | Yes | — |
| 8 | jSciPy | — | Yes | Android |
| 9 | Weights & Biases | — | Yes | — |
| 10 | Hamilton | — | Yes | — |
All Upgini alternatives
mlxtend
github.com/rasbt/mlxtendmlxtend adds helper modules for Python data analysis and machine learning libraries.
SynapseML provides distributed machine learning algorithms for Spark through its Python library.
Class-imbalanced machine learning is supported by imbalanced-ensemble, a toolbox for ensemble methods and datasets.
Python developers can use Streamlit to build and share data applications.
The Geni project provides a Clojure dataframe library that runs on Apache Spark.
Python developers can use gensim for topic modeling and related natural language processing tasks.
jSciPy provides Java scientific computing tools for signal processing, FFT, filtering, power spectral density, and DCT.
Weights & Biases supports model training, fine tuning, and management from experimentation through production.
Apache Hamilton helps teams build modular, testable dataflows with lineage and metadata.
PyCM provides a Python library for working with multiclass confusion matrices.
astroML
astroml.orgAstroML provides Python tools for machine learning and data mining in astronomy.
The ml5.js project brings friendly machine learning tools to web projects.
The Pattern Recognition Toolbox provides MATLAB tools for pattern recognition and machine learning.
Netron displays neural network, deep learning, and machine learning models across formats such as ONNX, TensorFlow, and PyTorch.
Automatic machine learning, hyperparameter tuning, and pipeline abstractions are provided by the Neuraxle software library.
ONNX-Scala provides an API and backend for deep and classical machine learning in Scala.
Opyrator turns machine learning code into microservices with a web API and interactive interface.
The anneal project is a Go machine learning compiler with graph rewriting, autodiff, and a WebGPU backend.
Sparkling Water brings H2O machine learning functionality into an Apache Spark cluster.
For Go developers, GoLearn provides a collection of tools for machine learning.
Python developers can use Dash to build data apps and dashboards without requiring JavaScript.
PipeRider provided code review tools for dbt data and has been superseded by Recce.
AWS Data Wrangler connects Pandas with AWS data services and databases, including Athena, Glue, Redshift, and S3.
Alternatives to similar tools
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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























