Apps with 'Quantitative data analysis' feature

R is a free software environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be consider.

LabPlot is a free, open source and cross-platform Data Visualization and Analysis software accessible to everyone and trusted by professionals.

The IBM SPSS software platform offers advanced statistical analysis, a vast library of machine-learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications.

SolidSheets offers a user-friendly interface and powerful features to manage and analyze your data. Easily open, edit, and print CSV, SSFS/SSFS64, and XLSX files. With advanced formulas, charts, and machine learning algorithms, accelerate your workflow.

pro Fit, the best curve fitting, regression, plotting, data analysis for macOS. Python and LaTeX support, publication quality plots.

The financial markets, especially cryptocurrencies, are often described as chaotic systems where prices fluctuate unpredictably. While many believe in the random walk theory, our research suggests a different perspective.

Are you tired of spending countless hours on mundane sales tasks, leaving you with little time to focus on building meaningful connections with your prospects?.

QuantRocket is a Python-based platform for researching, backtesting, and trading quantitative strategies. It provides a JupyterLab environment, offers a suite of data integrations, and supports multiple backtesters: Zipline, the open-source backtester that originally powered...

Mplus is a statistical modeling program that provides researchers with a flexible tool to analyze their data. Mplus offers researchers a wide choice of models, estimators, and algorithms in a program that has an easy-to-use interface and graphical displays of data and analysis...