KNIME
KNIME, the open platform for your data. subtitle
KNIME Alternatives [Page 5]
The best KNIME alternatives based on verified products, community votes, reviews and other factors.
Latest update:
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/number-analytics-alternatives
It is a cloud based statistical software for beginners and business users.
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/pspp-alternatives
PSPP is a free software application for analysis of sampled data.
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Protect your brand. Register your trademark. Free verification. Simple online process. Transparent price. Money back guarantee.
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/scikit-learn-alternatives
scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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/tensorflow-alternatives
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.
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/apache-mahout-alternatives
Distributed Linear Algebra
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/python-alternatives
Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
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/neural-designer-alternatives
Neural Designer is a high performance data science and machine learning platform.
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/r-lang-alternatives
R is a free software environment for statistical computing and graphics.
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/ibm-spss-statistics-alternatives
IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.
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/talend-alternatives
Talend Cloud delivers a single, open platform for data integration across cloud and on-premises environments. Put more data to work for your business faster with Talend.
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/trifacta-alternatives
Data Transformation Platform.
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/cloudstats-alternatives
ServerMonitoring.me provides a completely free server monitoring tool for Linux and Windows servers. Simply install agent on CentOS, Ubuntu, Debian!
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/keel-alternatives
KEEL contains classical knowledge extraction algorithms, preprocessing techniques, Computational Intelligence based learning algorithms, evolutionary rule learning algorithms, genetic fuzzy systems, evolutionary neural networks, etc.
