Top 10 scikit-learn Alternatives & Competitors

Top 10 Alternatives to scikit-learn Recently Reviewed By G2 Community

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#1

MLlib
By The Apache Software Foundation
(14)4.1 out of 5
MLlib is Spark's machine learning (ML) library that make practical machine learning scalable and easy it provides ML Algorithms: common learning algorithms such as classification, regression, clustering, and collaborative filtering, feature extraction, transformation, dimensionality reduction, and selection, tools for constructing, evaluating, and tuning ML Pipelines, saving and load algorithms, models, and Pipelines and linear algebra, statistics, data handling, etc.
Categories in common with scikit-learn:
• Machine Learning
Reviewers say compared to scikit-learn, MLlib is:
More expensive
See all MLlib reviews
#2

Weka
By Weka
(13)4.3 out of 5
Weka is a machine learning algorithms for data mining tasks that can either be applied directly to a dataset or called from own Java code, it contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization and well-suited for developing new machine learning schemes.
Categories in common with scikit-learn:
• Machine Learning
Reviewers say compared to scikit-learn, Weka is:
Slower to reach roi
More expensive
See all Weka reviews
#3

Google Cloud TPU
By Google
(19)4.4 out of 5
Cloud TPU empowers businesses everywhere to access this accelerator technology to speed up their machine learning workloads on Google Cloud
Categories in common with scikit-learn:
• Machine Learning
Reviewers say compared to scikit-learn, Google Cloud TPU is:
Slower to reach roi
More expensive
Easier to do business with
See all Google Cloud TPU reviews
#4

XGBoost
By XGBoost
(13)4.4 out of 5
XGBoost is an optimized distributed gradient boosting library that is efficient, flexible and portable, it implements machine learning algorithms under the Gradient Boosting framework and provides a parallel tree boosting(also known as GBDT, GBM) that solve many data science problems in a fast and accurate way.
Categories in common with scikit-learn:
• Machine Learning
Reviewers say compared to scikit-learn, XGBoost is:
Slower to reach roi
More expensive
See all XGBoost reviews
#5

Vertex AI
By Google
(572)4.3 out of 5
Vertex AI is a managed machine learning (ML) platform that helps you build, train, and deploy ML models faster and easier. It includes a unified UI for the entire ML workflow, as well as a variety of tools and services to help you with every step of the process. Vertex AI Workbench is a cloud-based IDE that is included with Vertex AI. It makes it easy to develop and debug ML code. It provides a variety of features to help you with your ML workflow, such as code completion, linting, and debugging. Vertex AI and Vertex AI Workbench are a powerful combination that can help you accelerate your ML development. With Vertex AI, you can focus on building and training your models, while Vertex AI Workbench takes care of the rest. This frees you up to be more productive and creative, and it helps you get your models into production faster. If you're looking for a powerful and easy-to-use ML platform, then Vertex AI is a great option. With Vertex AI, you can build, train, and deploy ML models faster and easier than ever before.
Categories in common with scikit-learn:
• Machine Learning
Try for free
Reviewers say compared to scikit-learn, Vertex AI is:
Slower to reach roi
More expensive
See all Vertex AI reviews
#6

SAS Viya
By SAS Institute Inc.
(481)4.3 out of 5
As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.
Categories in common with scikit-learn:
• Machine Learning
Get a quote
Reviewers say compared to scikit-learn, SAS Viya is:
Slower to reach roi
More expensive
See all SAS Viya reviews
#7

SAP HANA Cloud
By SAP
(517)4.3 out of 5
SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage.
Categories in common with scikit-learn:
• Machine Learning
Reviewers say compared to scikit-learn, SAP HANA Cloud is:
Slower to reach roi
More expensive
See all SAP HANA Cloud reviews
#8

Phrase Localization Platform
By Phrase
(1,201)4.5 out of 5
Phrase Localization Platform is the translation management system for global companies wanting to improve localization efficiency.
Categories in common with scikit-learn:
• Machine Learning
Try for free
Reviewers say compared to scikit-learn, Phrase Localization Platform is:
Slower to reach roi
More expensive
See all Phrase Localization Platform reviews
#9

Spotfire Analytics
By Spotfire
(356)4.2 out of 5
Self-service data discovery. Fastest to actionable insight. Collaborative, predictive, event-driven data analysis - free from IT.
Categories in common with scikit-learn:
• Machine Learning
Try for free
Reviewers say compared to scikit-learn, Spotfire Analytics is:
Slower to reach roi
More expensive
See all Spotfire Analytics reviews
#10

GoLearn
By GoLearn
(12)4.2 out of 5
GoLearn is a 'batteries included' machine learning library for Go that implements the scikit-learn interface of Fit/Predict, to easily swap out estimators for trial and error it includes helper functions for data, like cross validation, and train and test splitting.
Categories in common with scikit-learn:
• Machine Learning
Reviewers say compared to scikit-learn, GoLearn is:
More expensive
See all GoLearn reviews

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