--- title: Mlxtend Reviews meta_title: 'Mlxtend Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter reviews by the users' company size, role or industry to find out how Mlxtend works for a business like yours. aggregate_rating: rating_value: 3.8 review_count: 2 scale: '5' date_modified: '2026-09-22' parent_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence --- # Mlxtend Reviews **Vendor:** Mlxtend **Category:** [Machine Learning Software](https://www.g2.com/categories/machine-learning) **Average Rating:** 3.8/5.0 **Total Reviews:** 2 ## About Mlxtend Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks. ## Mlxtend Reviews ### 1. An Extended Machine Learning Tool which contains tools others don't **Rating:** 5.0/5.0 stars **Reviewed by:** Meliksah T. | Engineer, Enterprise (> 1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Incentivized:** The reviewer received either a gift card or a donation made to a charity of their choice in exchange for writing this review. **Source: G2 Gives Campaign:** G2 Gives Campaign. The reviewer received either a gift card or a donation made to a charity of their choice in exchange for writing this review. **Reviewed Date:** September 20, 2019 **What do you like best about Mlxtend?** I loved its frequent patterns tools apriori and association rules because other common libraries did not have it back then and when I could find those in Mlxtend which was easy to implement, I was so happy. I also liked how easy it was create ensembled models with Mlxtend's VoteClassifier tools where I was able to test both soft and hard voting for my classification problems. **What do you dislike about Mlxtend?** Even though it does not take huge preprocessing effort before using apriori and association rules functions, it does require some. Besides the format was not explicitly given in the documentation so I spent time on this. **Recommendations to others considering Mlxtend:** VoteClassifer is a good tool but if your data is big, then re-training every model will take time so consider "Dynamic Programming", saving the learned result follow a more manual approach. **What problems is Mlxtend solving and how is that benefiting you?** I used Mlxtend for its frequen patterns tool in the first place, using apriori and association rules algorithms where I looked for the frequent purchases of customers. It was simple and fun to use since it did not require that much in terms of formatting and preprocessing. Then I used Mlxtend during my machine learning projects to ensemble multiple models. For instance, it has EnsembleVoteClassifier which can do both "hard" and "soft" voting during classification problems. ### 2. average **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** January 16, 2018 **What do you like best about Mlxtend?** like the modules as part of the workflow in a scientific publication **What do you dislike about Mlxtend?** doesn't seem to always meet my needs I have trouble finding relevant modules **What problems is Mlxtend solving and how is that benefiting you?** software automation for my travel biz. - [View Mlxtend pricing details and edition comparison](https://www.g2.com/products/mlxtend/reviews?section=pricing&secure%5Bexpires_at%5D=2026-10-04+12%3A26%3A41+-0500&secure%5Bsession_id%5D=cf4bdf66-8c4d-4c3a-8208-231bd42b1f59&secure%5Btoken%5D=7e12b26387d18fbf35cbce3552e13bc33e7a32853406d8d9e8412b7096f6bb64&format=llm_user) ## Mlxtend Features **Additional Functionality** - Tagging - Natural Language Processing - Data Extraction - Multi-Language - Predictive Analytics - Drag & Drop - Speech Recognition - Reporting/Analytics - Data Storage Management - Virtual Personal Assistant (VPA) - AI Copilot - Customer Segmentation - Collaboration Tools - Data Import/Export - Generative AI - For eCommerce - Role-Based Permissions - Customizable Branding - Search/Filter - Monitoring - Document Management - API - Data Visualization - Trend Analysis - Machine Learning - Access Controls/Permissions - Alerts/Escalation - Performance Metrics - Real-Time Data - Third-Party Integrations - Mobile App - Multiple Data Sources - For Sales Teams/Organizations - Sentiment Analysis - Activity Dashboard - Chatbot - Workflow Automation **Integration - Machine Learning** - Integration - Third-Party Integrations **Learning - Machine Learning** - Training Data - Actionable Insights - Algorithm **Additional Functionality** - Predictive Modeling - Configurable Workflow - Tagging - Data Import/Export - API - Predictive Analytics - Data Visualization - Endpoint Management - Multiple Data Sources - No-Code - Data Preparation - Auditing - Collaboration Tools - Big Data Analytics - ML Algorithm Library - Data Management - Activity Dashboard - Data Capture and Transfer - Activity Tracking - Data Connectors - Data Security - Data Extraction - Reporting & Statistics - Workflow Management - AI Copilot ## Top Mlxtend Alternatives - [Automation Anywhere Agentic Process Automation](https://www.g2.com/products/automation-anywhere-agentic-process-automation/reviews) - 4.5/5.0 (4,149 reviews) - [Phrase](https://www.g2.com/products/phrase-phrase/reviews) - 4.5/5.0 (1,323 reviews) - [Alteryx](https://www.g2.com/products/alteryx/reviews) - 4.6/5.0 (869 reviews)