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 Simple SQL Client for lightweight data analysis. In case we missed something, please send us an email and we will add it to this evergreen list.īdash: Simple SQL Client for lightweight data analysis. 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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