Connect Seafile and Highcharts to Build Intelligent Automations

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Frequently Asked Questions

How do I start an integration between Seafile and Highcharts?

To start, connect both your Seafile and Highcharts accounts to viaSocket. Once connected, you can set up a workflow where an event in Seafile triggers actions in Highcharts (or vice versa).

Can we customize how data from Seafile is recorded in Highcharts?

Absolutely. You can customize how Seafile data is recorded in Highcharts. This includes choosing which data fields go into which fields of Highcharts, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Seafile and Highcharts?

The data sync between Seafile and Highcharts typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Seafile to Highcharts?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Seafile and Highcharts?

Yes, you can set conditional logic to control the flow of data between Seafile and Highcharts. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.

Seafile

About Seafile

Seafile is a powerful open-source file synchronization and sharing platform designed for high reliability, performance, and productivity. It allows users to store and manage files securely, collaborate with team members, and access files from any device. With features like file versioning, encryption, and seamless integration with various tools, Seafile is ideal for both personal and enterprise use.

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Highcharts

About Highcharts

Highcharts is a popular JavaScript charting library that enables developers to create interactive and responsive charts for web applications. It offers a wide range of chart types and is highly customizable, making it suitable for visualizing complex data sets.

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