Data-flo Docs
  • About Data-flo
    • Data-flo Major Update in April 2024
      • Migrating your workflows into the latest version of Data-flo
        • Streamlined adaptors
        • Deprecated adaptors
        • New and retained adaptors
    • Change Log
    • Privacy and Terms of Service
    • Open source software used by Data-flo
  • Data-flo Basics
    • Account
    • Navigation
    • Terminology
    • Interface Icons
    • Data-flo's building blocks: Adaptors
      • Using adaptors to import data
      • Using adaptors to process data
      • Using adaptors to export data
    • Combining adaptors to create workflows
      • Creating a workflow
        • Building a workflow from scratch
        • Cloning an existing workflow
        • Importing a .dataflo file
      • Testing your workflows
      • Running your workflows
      • Accessing your workflows
  • Adaptor reference guide
    • add-column
    • add-jittering
    • add-value-to-dictionary
    • aggregate-rows
    • append-datatables
    • append-lists
    • append-to-list
    • apply-force-directed-layout
    • calculate-column
    • calculate-time-difference
    • change-column-case
    • compare-columns
    • concatenate-columns
    • concatenate-text
    • convert-date-to-text
    • convert-list-to-datatable
    • convert-text-to-datatable
    • convert-text-to-list
    • create-dictionary-from-datatable
    • create-google-drive-folder
    • create-graph-from-datatable
    • create-graph-from-dot
    • create-list-from-datatable
    • create-text-from-template
    • duplicate-column
    • export-file-to-google-drive
    • export-file-to-smb-share
    • export-graph-to-dot-file
    • export-text-to-file
    • export-to-csv-file
    • export-to-dbf-file
    • export-to-google-sheet
    • export-to-microreact-project
    • export-to-sqlite-file
    • filter-list
    • filter-rows
    • find-value-in-dictionary
    • find-value-in-list
    • format-date-column
    • format-time-column
    • geocoding
    • import-file-from-dropbox
    • import-file-from-figshare
    • import-file-from-google-drive
    • import-file-from-http-request
    • import-file-from-s3
    • import-file-from-smb-share
    • import-file-from-url
    • import-from-csv-file
    • import-from-dbf-file
    • import-from-epicollect-project
    • import-from-excel-file
    • import-from-google-sheet
    • import-from-json-file
    • import-from-microreact-project
    • import-from-mysql
    • import-from-oracle
    • import-from-postgres
    • import-from-spreadsheet-file
    • import-from-sql-server
    • import-from-sqlite
    • import-list-from-text-file
    • import-text-from-file
    • join-datatables
    • list-datatable-columns
    • list-newick-leaf-labels
    • map-column-values
    • prepend-to-list
    • query-datatable
    • remove-columns
    • remove-duplicate-list-values
    • remove-duplicate-rows
    • rename-columns
    • rename-newick-leaf-labels
    • replace-blank-values
    • replace-values-in-columns
    • replace-values-in-list
    • replace-values-in-text
    • reshape-long-to-wide
    • reshape-wide-to-long
    • reverse-geocoding
    • run-openai-model
    • run-replicate-model
    • run-workflow
    • sample-datatable
    • select-columns
    • select-list-values
    • select-rows
    • send-email-message
    • sort-datatable
    • sort-list
    • split-column
    • split-geographical-coordinates
    • split-list
    • summarise-datatable
    • transform-columns
    • workflow-repeater
  • Applying Data-flo
    • Basics in Minutes!
      • Quick Workflow
        • Step 1: Configure a solo adapter to view data.
        • Step 2: Add and link a second adaptor.
        • Step 3: Add a value.
        • Step 4: Complete the workflow.
        • Step 5: Run the workflow.
        • Step 6: Share the workflow.
  • API
    • Data-flo API
    • API Access Tokens
  • Support
    • Contact and Feedback
    • Private Installations
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  • Why use Data-flo?
  • Citation

About Data-flo

NextData-flo Major Update in April 2024

Last updated 1 year ago

Data-flo (pronounced data-flow) is an open-source web application for data integration. It provides an easy-to-use visual interface to design reusable Workflows (data pipelines) that import, merge, clean, and manipulate data in many different ways. Once a Workflow has been created, it can be run anytime, by anyone with access, to enable push-button data extraction and transformation.

A diagram of a Data-flo workflow indicating the different data sources and output destinations.

Why use Data-flo?

Data-flo saves you time by removing the bulk of the manual repetitive workflows that require multiple, sequential, or tedious steps, enabling you to focus on analysis and interpretation.

Armed with Data-flo, users can:

  • Rapidly prepare data for visualization, and reporting

  • Easily share processed data between teams

  • Consistently reproduce and validate data transformation procedures for updated or new datasets

  • Seamlessly integrate data from multiple databases and sources

While Data-flo is used across many sectors (data science, academia, public health institutions etc.), it contains a number of features tailored to manage bioinformatics-related datasets such as Newick files, tree files, etc.

Citation

If you use Data-flo within a publication please cite:

Centre for Genomic Pathogen Surveillance. 2019. Data-flo. https://data-flo.io. [Date accessed].

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