About scikit-learn

scikit-learn’s Top competitors in the data-science-and-machine-learning category are Amazon Machine Learning Apache Spark IBM Watson. You can view a full list of scikit-learn competitors here. Slintel uses advanced data mining and AI algorithms to track customers and competitors of scikit-learn and 40,000 other technologies on the internet.You can also compare scikit-learn and its feature with top competitors here : scikit-learn vs Amazon Machine Learning scikit-learn vs Apache Spark scikit-learn vs IBM Watson .

Majority of scikit-learn’s customers for the data-science-and-machine-learning category fall in the company size of 11-50 employees (873 companies) 51-200 employees (700 companies) 10k+ employees (498 companies) . You can view a distribution chart of scikit-learn customers by company size here.

scikit-learn has market share of 14.63% in data-science-and-machine-learning market. scikit-learn competes with 38 competitor tools in data-science-and-machine-learning category. Top alternatives for scikit-learn data-science-and-machine-learning tool are Amazon Machine Learning with 24.75% Apache Spark with 18.05% IBM Watson with 9.00% market share.

Top industries that use scikit-learn for data-science-and-machine-learning are Software (730) Information Technology (526) Analytics (336) .

Around the world in 2021, over 3781 companies have started using scikit-learn as data-science-and-machine-learning tool. Companies using scikit-learn for data-science-and-machine-learning are majorly from United States with 1774 customers. 45.67% of scikit-learn customers are from the United States. Other top countries using scikit-learn are United Kingdom France with 283(7.29%) 209(5.38%) customers respectively.