Discover best Data Analysis softwares, apps and websites.
Python(x,y) is a comprehensive, free and open-source development environment for scientific and engineering tasks using Python. It bundles numerous libraries and tools for numerical computation, data analysis, visualization, and more, making it a powerful alternative to commercial software.
Anaconda is a comprehensive platform for data science, facilitating package management, environment management, and distribution of Python and R programming languages. It simplifies the workflow for data professionals.
Orange is an open-source, visual programming platform for interactive data analysis and machine learning. It offers a comprehensive suite of tools for data mining, data visualization, predictive modeling, and text analytics through a user-friendly interface.
R is a powerful open-source language and environment for statistical computing, graphics, and data analysis. Widely used by statisticians and data miners for developing statistical software and data analysis.
QtiPlot is a versatile and cross-platform application designed for scientific data analysis and high-quality data visualization. It offers an intuitive graphical interface for creating various types of plots and powerful tools for curve fitting, data manipulation, and scripting.
KNIME (Konstanz Information Miner) is a leading open-source platform for data science. It provides a visual workflow interface that enables users to build, train, and deploy machine learning models and data pipelines without requiring extensive coding expertise.
Talend provides a comprehensive suite of open-source and commercial data integration and data management solutions. It empowers organizations to connect, transform, and manage data from diverse sources, enabling better decision-making and driving business growth.
Hazelcast is a leading open-source distributed in-memory data grid and stream processing platform designed for high-performance, low-latency applications. It provides incredibly fast data access and processing by keeping data in RAM across a cluster of machines, enabling real-time responsiveness.
RAWGraphs is an open-source web application designed to simplify the creation of complex data visualizations. It bridges the gap between spreadsheet software and vector graphics editors, allowing users to map data columns to visual variables and export custom charts for further refinement or integration.
OpenRefine is a powerful open-source tool designed for cleaning, transforming, and exploring messy data sets. It's a desktop application that provides a spreadsheet-like interface with advanced functionalities for data wrangling, making it ideal for journalists, researchers, data analysts, and anyone dealing with imperfect data.