--- title: scikit-learn Reviews meta_title: 'scikit-learn Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 60 reviews by the users' company size, role or industry to find out how scikit-learn works for a business like yours. aggregate_rating: rating_value: 4.8 review_count: 60 scale: '5' date_modified: '2026-08-07' parent_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence --- # scikit-learn Reviews **Vendor:** scikit-learn **Category:** [Machine Learning Software](https://www.g2.com/categories/machine-learning) **Average Rating:** 4.8/5.0 **Total Reviews:** 60 ## About scikit-learn Scikit-learn is a software machine learning library for the Python programming language that has a various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. ## scikit-learn Pros & Cons **What users like:** - Users find scikit-learn's **ease of use** beneficial for beginners, simplifying the learning process in machine learning. (1 reviews) - Users appreciate the **clean and intuitive API** of scikit-learn, making it easy for beginners to learn machine learning. (1 reviews) - Users find scikit-learn a **frequently used library** for beginners, thanks to its clean interface and easy access to algorithms. (1 reviews) **What users dislike:** - Users experience **lagging issues** with scikit-learn, especially when modeling complex algorithms, affecting overall performance. (1 reviews) - Users face challenges with **limited customization** in scikit-learn, hindering their ability to tweak algorithms effectively. (1 reviews) - Users find that learning scikit-learn takes a significant amount of time due to its **steep learning curve** for beginners. (1 reviews) ## scikit-learn Reviews ### 1. Perfect Starter Library for Machine Learning Beginners **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Higher Education | Mid-Market (51-1000 emp.) **Reviewed Date:** December 17, 2025 **What do you like best about scikit-learn?** I guess this is the library which every newbie who's learning machine learning starts with and so am I. This is a very clean library where you get the basic logical code of many algorithms like regression, classification and clustering etc.As the algorithm is pre written so i only focus on traning the datas and output.It have very clean and smooth API. **What do you dislike about scikit-learn?** As told earlier it is for beginners and if you don't know python then it take you lots of time to understand each thing how it works.It doesn't support heavy models (if you try to make it then it starts to lag and doesn't give desire output).It also have limited customization for the algorithms also,like black boxes and fine grains control is not always easy. **What problems is scikit-learn solving and how is that benefiting you?** It is very useful to train the model as stated earlier that it contains the many algorithm so i don't have to write the code from Scratch . In my college time it helps me to make 2-3 models with achieving accuracy of 80 percent something .So this made my interest in this field and i have switched to tensorflow for more learnig. ## scikit-learn Discussions - [What is scikit-learn used for?](https://www.g2.com/discussions/scikit-learn-what-is-scikit-learn-used-for) - 2 comments - [What is Python Scikit learn?](https://www.g2.com/discussions/what-is-python-scikit-learn) - 1 comment - [View scikit-learn pricing details and edition comparison](https://www.g2.com/products/scikit-learn/reviews?filters%5Bsentiment_snippet%5D=2416441&qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-08-14+14%3A25%3A07+-0500&secure%5Bsession_id%5D=8e5d84c0-184a-46a8-8d81-a240df6cd745&secure%5Btoken%5D=31925aac86b284a924d8a1210312b94ffd3e659668298a2c4165f12bf1baee29&format=llm_user) ## scikit-learn 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 scikit-learn Alternatives - [MLlib](https://www.g2.com/products/mllib/reviews) - 4.1/5.0 (14 reviews) - [Weka](https://www.g2.com/products/weka/reviews) - 4.3/5.0 (13 reviews) - [Google Cloud TPU](https://www.g2.com/products/google-cloud-tpu/reviews) - 4.5/5.0 (33 reviews)