# Top 10 scikit-learn Alternatives & Competitors

(60)4.8 out of 5

Thousands of users compare scikit-learn with other Machine Learning Software tools to find the best fit for their team or business. In most cases, users compare alternatives based on reliability and ease of use.   
 The best overall alternative to scikit-learn is [MLlib](https://www.g2.com/products/mllib/reviews), rated ~4.1 stars on G2 from 14+ reviewers. It is frequently praised for features and ease of use. Other well-known alternatives to scikit-learn are: 
- [Weka](https://www.g2.com/products/weka/reviews) – known for scalability and integrations (G2 star rating ~4.3)
- [Google Cloud TPU](https://www.g2.com/products/google-cloud-tpu/reviews) – highly rated for ai technology and machine learning (G2 star rating ~4.5)
- [XGBoost](https://www.g2.com/products/xgboost/reviews) – offers ease of use and integrations (G2 star rating ~4.4)
- [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) – best suited for teams that need machine learning and model variety (G2 star rating ~4.3)

 Browse top options below. Based on G2 review data, scikit-learn is most commonly used in industries like [Machine Learning Software](https://www.g2.com/categories/machine-learning), [Analytics Platforms](https://www.g2.com/categories/analytics-platforms), [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms). Compare user ratings by vertical to find the best fit.

## Best Paid & Free Alternatives to scikit-learn

- MLlib
- Weka
- Google Cloud TPU
- XGBoost
- Gemini Enterprise Agent Platform
- SAS Viya
- Alteryx
- SAP HANA Cloud

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

Browse options below. Based on reviewer data, you can see how scikit-learn stacks up to the competition, check reviews from current & previous users in industries like Computer Software, Computer & Network Security, and Research, and find the best product for your business.

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[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/761bf1c4ba21d6f1ef348c760d3943c1/mllib.jpg "Product Avatar Image")
](https://www.g2.com/products/mllib/reviews)

[
MLlib
](https://www.g2.com/products/mllib/reviews)

By [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation)

[

4.1/5(14)

](https://www.g2.com/products/mllib/reviews#reviews)

Product Description

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.

Reviewers say compared to scikit-learn, MLlib is:

More expensive

Categories in common with scikit-learn:

[
Machine Learning
](/categories/machine-learning)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/8c10cc72a4d651d34af6b29fb7c84c01/weka.png "Product Avatar Image")
](https://www.g2.com/products/weka/reviews)

[
Weka
](https://www.g2.com/products/weka/reviews)

By [Weka](https://www.g2.com/sellers/weka)

[

4.3/5(13)

](https://www.g2.com/products/weka/reviews#reviews)

Product Description

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.

Reviewers say compared to scikit-learn, Weka is:

Slower to reach roi

More expensive

Categories in common with scikit-learn:

[
Machine Learning
](/categories/machine-learning)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/5ce1baadf28da9a4ff7dfef94752a5f9/google-cloud-tpu.jpg "Product Avatar Image")
](https://www.g2.com/products/google-cloud-tpu/reviews)

[
Google Cloud TPU
](https://www.g2.com/products/google-cloud-tpu/reviews)

By [Google](https://www.g2.com/sellers/google)

[

4.5/5(33)

](https://www.g2.com/products/google-cloud-tpu/reviews#reviews)

Product Description

Cloud TPU empowers businesses everywhere to access this accelerator technology to speed up their machine learning workloads on Google Cloud

Reviewers say compared to scikit-learn, Google Cloud TPU is:

Slower to reach roi

More expensive

Categories in common with scikit-learn:

[
Machine Learning
](/categories/machine-learning)

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[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/57dd97ecbc77b248c077fd49ed91e856/xgboost.png "Product Avatar Image")
](https://www.g2.com/products/xgboost/reviews)

[
XGBoost
](https://www.g2.com/products/xgboost/reviews)

By [XGBoost](https://www.g2.com/sellers/xgboost)

[

4.4/5(13)

](https://www.g2.com/products/xgboost/reviews#reviews)

Product Description

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.

Reviewers say compared to scikit-learn, XGBoost is:

Slower to reach roi

More expensive

Categories in common with scikit-learn:

[
Machine Learning
](/categories/machine-learning)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/aeae116c52945fdecd7ed16d621cb315/gemini-enterprise-agent-platform.png "Product Avatar Image")
](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews)

[
Gemini Enterprise Agent Platform
](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews)

By [Google](https://www.g2.com/sellers/google)

[

4.3/5(745)

](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews#reviews)

Product Description

Gemini Enterprise Agent Platform 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. Gemini Enterprise Agent Platform Workbench is a cloud-based IDE that is included with Gemini Enterprise Agent Platform. 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. Gemini Enterprise Agent Platform and Gemini Enterprise Agent Platform Workbench are a powerful combination that can help you accelerate your ML development. With Gemini Enterprise Agent Platform, you can focus on building and training your models, while Gemini Enterprise Agent Platform 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 Gemini Enterprise Agent Platform is a great option. With Gemini Enterprise Agent Platform, you can build, train, and deploy ML models faster and easier than ever before.

Reviewers say compared to scikit-learn, Gemini Enterprise Agent Platform is:

Slower to reach roi

More expensive

Categories in common with scikit-learn:

[
Machine Learning
](/categories/machine-learning)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/c3e4922bb6835a32854c1dead2cda2bb/sas-sas-viya.jpg "Product Avatar Image")
](https://www.g2.com/products/sas-sas-viya/reviews)

[
SAS Viya
](https://www.g2.com/products/sas-sas-viya/reviews)

By [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2)

[

4.3/5(817)

](https://www.g2.com/products/sas-sas-viya/reviews#reviews)

Product Description

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.

Reviewers say compared to scikit-learn, SAS Viya is:

Slower to reach roi

More expensive

Categories in common with scikit-learn:

[
Machine Learning
](/categories/machine-learning)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/2c6c77d8284b2f6609c2f9dc0ba6b5a9/alteryx.png "Product Avatar Image")
](https://www.g2.com/products/alteryx/reviews)

[
Alteryx
](https://www.g2.com/products/alteryx/reviews)

By [Alteryx](https://www.g2.com/sellers/alteryx)

[

4.6/5(893)

](https://www.g2.com/products/alteryx/reviews#reviews)

Product Description

Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.

Reviewers say compared to scikit-learn, Alteryx is:

Slower to reach roi

More expensive

Categories in common with scikit-learn:

[
Machine Learning
](/categories/machine-learning)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/5e530c81ef1a1d98fe6a0d6eede0397b/sap-hana-cloud-2025-10-01.png "Product Avatar Image")
](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)

[
SAP HANA Cloud
](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)

By [SAP](https://www.g2.com/sellers/sap)

[

4.3/5(620)

](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews#reviews)

Product Description

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.

Reviewers say compared to scikit-learn, SAP HANA Cloud is:

Slower to reach roi

More expensive

Categories in common with scikit-learn:

[
Machine Learning
](/categories/machine-learning)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/1d0092c590238189e14320421b5331dc/automation-anywhere-agentic-process-automation.png "Product Avatar Image")
](https://www.g2.com/products/automation-anywhere-agentic-process-automation/reviews)

[
Automation Anywhere Agentic Process Automation
](https://www.g2.com/products/automation-anywhere-agentic-process-automation/reviews)

By [Automation Anywhere](https://www.g2.com/sellers/automation-anywhere)

[

4.5/5(5,622)

](https://www.g2.com/products/automation-anywhere-agentic-process-automation/reviews#reviews)

Product Description

Automation Anywhere Enterprise is an RPA platform architected for the digital enterprise.

Reviewers say compared to scikit-learn, Automation Anywhere Agentic Process Automation is:

Slower to reach roi

More expensive

Categories in common with scikit-learn:

[
Machine Learning
](/categories/machine-learning)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/ab2060955b5493121b5c56fa83d6e689/demandbase-one.png "Product Avatar Image")
](https://www.g2.com/products/demandbase-one/reviews)

[
Demandbase One
](https://www.g2.com/products/demandbase-one/reviews)

By [Demandbase](https://www.g2.com/sellers/demandbase)

[

4.4/5(1,988)

](https://www.g2.com/products/demandbase-one/reviews#reviews)

Product Description

The biggest and fastest growing companies in the world rely on Demandbase to drive their ABM and ABX strategies and to maximize their go-to-market performance. With the Demandbase ABX Cloud, fueled by our Account Intelligence, you have one platform to connect your 1st and 3rd party data for one view of the account, making it easy for revenue teams to stay coordinated across the entire buying journey, from prospect to customer.

Reviewers say compared to scikit-learn, Demandbase One is:

Slower to reach roi

More expensive

Categories in common with scikit-learn:

[
Machine Learning
](/categories/machine-learning)

## scikit-learn Alternatives FAQs

Generated using AI

### How does scikit-learn compare to MLlib?

According to G2 data, [scikit-learn](https://www.g2.com/products/scikit-learn/reviews) outperforms [MLlib](https://www.g2.com/products/mllib/reviews) across all measured dimensions. Scikit-learn scores 9.6 in meeting requirements, 9.6 in usability, and 9.6 in ease of setup, compared to MLlib's 8.5, 8.8, and 8.7 respectively, indicating a 1.1 to 0.8 point advantage. It also leads in ease of administration (9.4 vs 7.9, a 1.5-point difference), support (9.4 vs 7.3, a 2.1-point difference), and ease of doing business (9.2 vs 7.6, a 1.6-point difference). Scikit-learn holds a higher average rating of 4.8/5 from 60 reviews, surpassing MLlib's 4.1/5 from 14 reviews. User feedback highlights scikit-learn's clean API, dynamic library with preloaded machine learning and data preprocessing functions, and suitability for beginners. However, it has limitations with heavy models and lacks native deep learning support.

### What are the best alternatives to scikit-learn?

The best alternatives to scikit-learn include [Google Cloud TPU](https://www.g2.com/products/google-cloud-tpu/reviews) (4.5/5 stars, 33 reviews), [Weka](https://www.g2.com/products/weka/reviews) (4.3/5 stars, 13 reviews), [XGBoost](https://www.g2.com/products/xgboost/reviews) (4.4/5 stars, 13 reviews), and [MLlib](https://www.g2.com/products/mllib/reviews) (4.1/5 stars, 14 reviews). These alternatives offer specialized capabilities such as scalable distributed computing, deep learning acceleration, and advanced gradient boosting algorithms.

### What features do alternatives offer that scikit-learn does not?

Scikit-learn lacks native support for deep learning models, GPU acceleration, and advanced algorithms such as XGBoost and CatBoost. It also does not support large-scale data processing efficiently and has limited automated feature engineering capabilities. Additionally, it does not facilitate time series analysis or model deployment to production environments.

### Which Machine Learning tools do reviewers recommend instead of scikit-learn?

Reviewers consistently recommend scikit-learn for its ease of use, extensive algorithm library, and strong community support, especially for beginners and academic projects. However, for deep learning and large-scale data processing, reviewers suggest alternatives like [Google Cloud TPU](https://www.g2.com/products/google-cloud-tpu/reviews) for its high performance and scalability, and [XGBoost](https://www.g2.com/products/xgboost/reviews) for its efficient and accurate gradient boosting capabilities. [Weka](https://www.g2.com/products/weka/reviews) is recommended for data mining tasks with a user-friendly interface, while [MLlib](https://www.g2.com/products/mllib/reviews) is favored for distributed machine learning on big data environments.

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