Scikit-learn
scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Some of the top features or benefits of Scikit-learn are: Ease of Use, Extensive Documentation and Community Support, Integration with Other Libraries, Variety of Algorithms, and Performance. You can visit the info page to learn more.
Best Scikit-learn Alternatives & Competitors in 2024
The best Scikit-learn alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
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Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Key Pandas features:
Data Wrangling Flexible Data Structures Integration with Other Libraries Performance with Data Size
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OpenCV is the world's biggest computer vision library
Key OpenCV features:
Comprehensive Library Cross-Platform Compatibility Open Source Large Community Support
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Clear, Fast & Unlimited. Residential & Mobile Proxies For Best Price.
Key ASocks features:
HTTP Socks5 ASN targeting Pay as you go
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NumPy is the fundamental package for scientific computing with Python
Key NumPy features:
Performance Versatility Ease of Use Community Support
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Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
Key Dataiku features:
User-Friendly Interface Collaborative Environment End-to-End Workflow Integrations and Extensibility
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WEKA is a set of powerful data mining tools that run on Java.
Key WEKA features:
User-Friendly Interface Wide Range of Algorithms Open Source Extensive Documentation
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htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.
Key htm.java features:
Biologically Inspired Algorithms Time Series Prediction Open Source Java Ecosystem Integration
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Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.
Key Exploratory features:
User-friendly Interface Integration with R Rich Visualization Options Collaborative Features
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Figure Eight is the essential Human-in-the-Loop Machine Learning platform.
Key Figure Eight features:
Scalability Diverse Workforce Workflow Customization Integration Capabilities
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GraphLab Create is an extensible machine learning framework that enables developers and data scientists to easily build and deploy apps.
Key Turi GraphLab Create features:
Ease of Use Scalability Integrated Toolset Graph Processing Capabilities
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Logical Glue helps Lenders and Insurance organisations make better decisions with a highly intuitive and user-friendly Machine Learning Platform.
Key Logical Glue features:
Interpretability User-Friendly Interface Automated Machine Learning Regulatory Compliance
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The DimML programming language enables users to run any data solution on any website with only a single line of code.
Key DimML features:
Ease of Use Scalability Integration Customization
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RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
Key RapidMiner features:
Ease of Use Integration Capabilities Comprehensive Feature Set Community and Support
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TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Key TensorFlow features:
Comprehensive Ecosystem Community and Support Flexibility Integrations