DataMelt is an open-source data analysis and visualization platform. It allows importing, cleaning, transforming, analyzing, visualizing and publishing scientific data with an intuitive graphical workflow editor interface.
An open-source data analysis and visualization platform for importing, cleaning, transforming, analyzing, visualizing and publishing scientific data with an intuitive graphical workflow editor interface.
What is DataMelt?
DataMelt is an open-source data analysis and visualization application aimed at scientists, engineers and students. It allows importing, cleaning, transforming, analyzing, visualizing and publishing scientific data with an intuitive graphical workflow editor interface.
Some of its key features include:
Import data from various sources like CSV, Excel, databases, APIs, etc.
Clean, filter, merge, transform, analyze and visualize data
Large collection of built-in analysis and visualization modules
Create complex analysis workflows visually without writing code
Extend functionality with Python, R, Octave and Java scripts
Publish results as interactive web pages or PDF reports
DataMelt runs on Windows, Linux and Mac systems. It can connect to data sources like MySQL, PostgreSQL, MongoDB, Redis and others. The intuitive workflow editor interface allows building analysis pipelines by dragging and dropping modules, without needing to know programming.
DataMelt is useful for scientists, engineers, analysts and students looking for an open-source data analysis and visualization tool with advanced capabilities but easy enough interface for non-programmers. It combines power and accessibility in a single package.
DataMelt Features
Features
Graphical workflow editor interface
Import, clean, transform, analyze, visualize and publish scientific data
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