PROCESSING
Develop your analysis plan and transform the flow of data into knowledge
Workflow Engine
The powerful Workflow Engine allows you to create agile and customised analysis plans by linking blocks with different functionalities: filters, conversions, calculations. Design flexible and customised analysis plans by simply processing the collected data by dragging and connecting blocks for your business needs
Data Science
Unlock the power of data science through our library of over 10,000 drag-and-drop building blocks and implement advanced algorithms with ease. The blocks, written in Python, are based on cutting-edge libraries such as Pandas and NumPy, making data analysis accessible to everyone, without the need to write complex code
Blocks categories
Filtering
query
pandas.query
where
numpy.where
Sorting
sort_values
pandas.sort_values
sort
numpy.sort
Aggregation
group_by
pandas.group_by
describe
pandas.describe
mean
pandas.mean
Cleaning
dropna
pandas.dropna
fillna
pandas.fillna
fill
numpy.ndarray.fill
notnull
pandas.notnull
Merging
merge
pandas.merge
concat
pandas.concat
Calculation
cumsum
pandas.cumsum
diff
numpy.diff
divide
numpy.divide
pow
pandas.pow