RapidMiner
Scikit-learn
Dataiku
Pandas
NumPy
OpenCV
WEKA
Exploratory
Amadea
IBM ILOG CPLEX Optimization Studio
Composable Analytics
Jupyter
RapidMiner Studio
Solvuu
AIXON
Tibco Data Science
RapidMiner AmadeaBased on our record, RapidMiner seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
RapidMiner: A data science platform that offers an automated EDA process, including data preprocessing, visualization, and analysis. Source: about 1 year ago
I hope this blog empowers you to start digging deeper into Apache Arrow and helps you to understand why we decided to invest in the future of Apache Arrow and its child products. I also hope it gives you the foundations to start exploring how you can build your own analytics applications from this framework. InfluxDB’s new storage engine emphasizes its commitment to the greater ecosystem. For instance, allowing... - Source: dev.to / about 1 year ago
Rapidminer - RapidMiner is a data science software platform developed by the company of the same name that provides an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics. Link - https://rapidminer.com/. - Source: dev.to / over 2 years ago
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
IBM ILOG CPLEX Optimization Studio - 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.
Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
Composable Analytics - Composable Analytics is an enterprise-grade analytics ecosystem built for business users that want to architect data intelligence solutions that leverage disparate data sources and event data.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Jupyter - 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.