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.
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.
View the complete library of Dataflow nodes.
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
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
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
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)
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
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
