Connectors allow reading and writing data from separate systems, either as functions directly in python or as part of a recipe.

Available Connectors

• {.mr-1} Input Reference the default dataframe that was passed to the recipe
• {.mr-1} CKAN Read and write files to/from CKAN
• 🔀 Concurrent Run multiple actions concurrently.
• {.mr-1} 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
• {.mr-1} 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
• {.mr-1} MongoDB Read & write from a MongoDB Collection
• {.mr-1} MSSQL Read & write from a Microsoft SQL Database.
• {.mr-1} MySQL Read & write from a MySQL Database.
• 🔔 Notification Send notifications e.g. when a recipe finishes or if it fails
• {.mr-1} Postgres Read & write from a PostgreSQL Database.
• {.mr-1} Pricefx Read & write from a Pricefx instance.
• 🍜 Recipe Run a recipe, from a recipe! Recipe-ception.
• {.mr-1} S3 Read & write from an AWS S3 bucket
• {.mr-1} Salesforce Read & write data to Salesforce
• 🔒 SFTP Read & write from an SFTP server.
• {.mr-1} SSH Execute commands over SSH.
• {.mr-1} SQLite Read/Write from SQLite database
• 📝 Test Generate test data.
• 🚆 Train Read and write wrangles training data {.links-list}