![]() ![]() It has a batteries-included philosophy, putting the PyData ecosystem, powerful data tables and much more at your fingertips. Panel is an open-source Python library that lets you easily build powerful tools, dashboards, and complex applications entirely in Python. Panel: A Powerful Data Exploration Web Business Intelligence (BI) Framework With DQO, you get access to a wide range of customizable data quality checks and data quality dashboards that make it easy to keep an eye Experience data quality observability in your ELT/ETL pipeline that would usually take a year to build, in just a few hours.ĭQO: Open-source Data Quality Operations CenterĭQO is a powerful DataOps friendly data quality monitoring tool that is designed to help you monitor and maintain the quality of your data. The data quality automation plugin for data teams. Swiple: Open-source Automated Data Monitoring In case we missed something, please send us an email and we will add it to this evergreen list. We have listed here the most used open-source statistical packages as free alternatives to IBM SPSS. It supports also using packages from Python, R, C/Fortran, C++, and Java. The Julia programming language has many data-science ready packages including data manipulation, mathematics, and BigData ready packages. Juno IDE is an Atom-based IDE for Julia language, it combines the Atom IDE features with a data analysis aware user-interface very similar to RStudio and Rodeo. ![]() However, it comes with features that put it ahead in statistical & mathematical analysis. Julia is an open-source high-level general-purpose programming language. Rodeo supports Windows, Linux, and macOS. However, it has not been updated for 3 years. It has a similar interface to RSudio and similar functionalities as well. It's the RStudio equivalent for Python statistical libraries, and capabilities. Rodeo is an open-source statistical IDE for Python language. In the following video you can watch an introductory tour of Deducerġ1- Rodeo (Python Statistical Analysis IDE) Rodeo overview It's an easy-to-use alternative to SPSS, and it's easy to learn as well. Here is a quick video interview about RKWardĭeducer is a lightweight open-source GUI (Graphical User Interface) for the R language, that works for Windows, macOS & Linux. RKWard does not work only on Linux (KDE) desktops, but it works on Windows and macOS as well. It supports multiple data files formats including SPSS, Sata & CSV. It has a powerful spreadsheet editor, code editor, plot and graphs viewer, workspaces browser, and R packages management similar to RStudio. RKWard is an open-source interface for R statistical language from KDE desktop. It comes in different editions: a free open-source full-featured edition (AGPL 3.0), a commercial desktop edition and a commercial server edition.īlueSky statistics has a simple graphical user interface, several modules to ease the workflow while creating and using statistical programs, powerful R integration with automatic R script syntax generation, and runs R commands, scripts.īlueSky supports exporting to HTML, PDF and many data formats, It offers a command editor to build and execute R commands, custom output viewer and a diagram designer. 8- BlueSky StatisticsīlueSky Statistics is a rich analytic workbench for R programming language. RStudio is released as an open-source project under Affero General Public License v3. RStudio is shipped with many features to provide the productive workflow, like a package manager, history manager, logger, customizable user-interface, scripts manager, auto-complete functions, code editor, code highlighting, file browser and built-in session manager. RStudio is a free IDE (integrated development environment) for R. Here we are listing some open source projects that provide R with graphical user-interface, editors & IDE functionalities. It's widely used by data scientists, data engineers, data miners, and statisticians. R programming language is an open-source scripting environment for statistical computing and analysis. ![]()
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