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Dataflow Designer

Design your entire data infrastructure, from a single intuitive interface.

The drag-and-drop node panel gives you instant access to advanced data transformations, computes, and visualizations.

Build Your Entire Data Infrastructure

We built the dataflow design tool for companies & teams without data-scientists.

Our mission is to empower anyone to optimize their business with high quality, production data science.

All the Tools You'll Need

View the complete library of Dataflow nodes.

Import

These nodes allow you to bring in data from your data warehouse connectors and file uploads.

Manual Entry

Manually enter dataset

CSV

Import data from CSV files

Excel

Import data from Excel Files

Google Sheets

Import data from Google Sheets

Parquet

Import data from Parquet files

SPSS

Import data from SPSS files

PostgreSQL

Import data from PostgreSQL database

Snowflake

Import data from Snowflake data warehouse

NetSuite

Import data from Oracle NetSuite ERP system

SuiteCRM

Import data from SuiteCRM

Quickbooks Desktop

Import data from Quickbooks Desktop & Manufacturing

Transform

These nodes enable you to quickly transform data structure and content.

Extract Value

Extract a single value from the table data

Sort

Sort data on a given column

Join

Column join on two input tables

Column Append

Horizontally append multiple tables into a single table

Row Append

Vertically append multiple tables into a single table

Column Filter

Filter columns out of tables

Row Filter

Filter rows out of tables

Drop Duplicates

Drop duplicates from a select column

Train Test Split

Split data for machine learning training and testing

Compute

These nodes enable you to perform automated computations on your data

Python

Use python to execute custom code on row-wise data

Export Data

Export data for download

Summarize

Summarize your data
(sum, max, min, count, statistics)
with optional "Group By"

Rolling Window

Calculate statistics on rolling window segments of data

If-Else

Run conditional check on a column

Sentiment Analysis

Compute sentiment for text data

Date / Time

Transform or strip date/time values

Timeseries Resampling

Resample data on a given date / time column

Train AutoML

Train an AutoML Model

Deploy AutoML

Deploy and AutoML Model for prediction

Graph

These nodes enable you to visualize your data. You can then publish your results in a dashboard.

Graph

Dashboard Graph
(Scatter Plot, Bar Chart, etc.)

Input Field

Dashboard input field
(text field, drop down, etc.)

Embed HTML

Embed custom HTML components
(ex. Google Forms)

Transform Library

These nodes enable you to quickly transform data structure and content.

Extract Value

Extract a single value from the table data

Sort

Sort data on a given column

Join

Column join on two input tables

Column Append

Horizontally append multiple tables into a single table

Row Append

Vertically append multiple tables into a single table

Column Filter

Filter columns out of tables

Row Filter

Filter rows out of tables

Drop Duplicates

Drop duplicates from a select column

Train Test Split

Split data for machine learning training and testing

Compute Library

These nodes enable you to perform automated computations on your data

Python

Use python to execute custom code on row-wise data

Export Data

Export data for download

Summarize

Summarize (sum, max, min, count, statistics) your data with optional Group By

Rolling Window

Calculate statistics on rolling window segments of data

If-Else

Run conditional check on a column

Sentiment Analysis

Compute sentiment for text data

Date / Time

Transform or strip date/time values

Timeseries Resampling

Resample data on a given date/time column

Train AutoML

Train an AutoML Model

Deploy AutoML

Deploy and AutoML Model for prediction