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The GitHub ODBC Driver is a powerful tool that allows you to connect with live data from GitHub, directly from any applications that support ODBC connectivity.

Access GitHub data like you would a database - read, write, and update GitHub Repositories, Projects, Labels, Issues, etc. through a standard ODBC Driver interface.

How to create Visio diagrams from GitHub Data



Automatically update GitHub data with the changes you make to Visio master shapes.

Automate the process of entering data into Visio diagrams and keeping your diagrams up to date with the CData ODBC Driver for GitHub. The driver surfaces GitHub data as an ODBC data source that can be accessed by applications with built-in ODBC support like Microsoft Office. This article shows how to create a simple diagram to start brainstorming about Visio projects linked to GitHub data.

Connect to GitHub as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

GitHub uses the OAuth 2 authentication standard. To authenticate using OAuth, you will need to create an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties. See the Getting Started chapter of the CData help documentation for an authentication guide.

Connect GitHub Data to Diagrams

Follow the steps below to use the Data Selector Wizard to import data into your diagram.

  1. Open Visio and click File -> New. Open the Brainstorming template.
  2. On the Data tab, click Link Data to Shapes.
  3. Select the ODBC option and select ODBC DSN.
  4. Select the DSN for GitHub, select the table you want to import, and finish the wizard. This article uses Users as an example.

Link GitHub Entities to Shapes

Follow the steps below to create a simple diagram that shows how to create shapes from your data, one of the ways to link GitHub entities to shapes:

  1. Click Brainstorming Shapes and drag a main topic onto the drawing page. Enter Users as the text of the main topic.
  2. Click Topic.
  3. Select a row in the External Data window and drag it onto the drawing page.
  4. Right-click the Topic shape and click Data -> Edit Data Graphic.
  5. Click New Item.
  6. In the Data Field menu, select a column. In the Displayed As menu, select how to display them.
  7. Drag a few other GitHub entities onto the drawing page and add association lines back to the main topic, Users. New topics have the same configuration: Numeric columns displayed in data bars stand out in contrast to other Users entities.

You can refresh your diagram from the Data tab, synchronizing your shapes with the external GitHub data.