Connectors allow reading and writing data from separate systems, either as functions directly in python or as part of a recipe.
¶ Available Connectors
Input Reference the default dataframe that was passed to the recipe
CKAN Read and write files to/from CKAN
Concurrent Run multiple actions concurrently.
Excel Allows users to define which sheet and where to write the output, write multiple sheets, and more
File Read & write from the local file system
HTTP Issue a HTTP(S) request
Jinja Use a Jinja template with a context to create a file
Matrix Run multiple writes in parallel based on variables
Memory Read or write dataframes or variables to/from memory
MongoDB Read & write from a MongoDB Collection
MSSQL Read & write from a Microsoft SQL Database.
MySQL Read & write from a MySQL Database.
Notification Send notifications e.g. when a recipe finishes or if it fails
Postgres Read & write from a PostgreSQL Database.
Pricefx Read & write from a Pricefx instance.
Recipe Run a recipe, from a recipe! Recipe-ception.
S3 Read & write from an AWS S3 bucket
Salesforce Read & write data to Salesforce
SFTP Read & write from an SFTP server.
SSH Execute commands over SSH.
Test Generate test data.
Train Read and write wrangles training data