KNIME
KNIME, the open platform for your data.
KNIME Alternatives
The best KNIME alternatives based on verified products, community votes, reviews and other factors.
Latest update:
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Become an AI-Driven Enterprise with Automated Machine Learning
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RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
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Atera’s all-in-one platform enables IT professionals to gain access, visibility, and control over all their networks and devices from anywhere, so they can work smarter and light years faster.
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The Statistics Portal for Market Data, Market Research and Market Studies
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MonteCarlito is a free Excel-add-in to do Monte-Carlo-simulations.
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Displayr is a data science, visualization, and reporting platform for everyone.
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IBM ILOG CPLEX Optimization Studio is an easy-to-use, affordable data analytics solution for businesses of all sizes who want to optimize their operations.
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Simply upload your spreadsheet or dataset, then select the relationships you want to explore. Statwing was built by and for analysts, so you can clean data, explore relationships, and create charts in minutes instead of hours.
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Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
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homepage of gretl, the Gnu Regression, Econometrics and Time-series Library
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JASP, a low fat alternative to SPSS, a delicious alternative to R.
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Visual workflow designer for predictive analytics that brings data science and machine learning to everyone on the analytics team
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jamovi is a free and open statistical platform which is intuitive to use, and can provide the...
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Data science is a team sport. Data scientists, citizen data scientists, business users, and developers need flexible and extensible tools that promote collaboration, automation, and...
Generic KNIME discussion
KNIME Reviews
External sources with reviews and comparisons of KNIME
Categories: Business & Commerce, Development, Data Science And Machine Learning
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