This section explains how plugins can be installed and configured to extend the functionality of Kadi4Mat. It is recommended to have a working Kadi4Mat installation before reading through this section. For general information about configuring Kadi4Mat, please also see Configuration.

Installing plugins

Plugins can either be part of the main application package or implemented as independent Python packages, which have to be installed separately in the same virtual environment that Kadi4Mat itself was installed in. In both cases, plugins are configured via the PLUGINS configuration value in the Kadi configuration file after they have been installed:

PLUGINS = ["example", "another-example"]

This will activate the plugins with the names example and another-example in the application.

Some plugins might require additional configuration to work correctly or to change how they behave. This configuration is plugin-specific and can be specified via the PLUGIN_CONFIG configuration value in the same configuration file. Note that the configuration always needs to be a dictionary, e.g. like the following configuration for the example plugin:

    "example": {
        "example_key": "example_value",

First party plugins

Currently, all first party plugins are part of the main application package and are therefore available automatically after installing Kadi4Mat.


The zenodo plugin allows users to connect their Kadi4Mat account to a Zenodo account in order to upload records directly to the Zenodo repository. The following configuration values have to be specified when using this plugin:

    "zenodo": {
        "client_id": "<zenodo_client_id>",         # Required
        "client_secret": "<zenodo_client_secret>", # Required
        "base_url": "",  # Optional

The client_id and client_secret can be obtained directly via Zenodo by navigating to Applications > Developer Applications in the account settings page. Besides setting some metadata that will be displayed to users of the particular instance of Kadi4Mat, the following settings are necessary for the integration to work correctly:

  • Redirect URIs: https://<base_url>/settings/services/authorize/zenodo

  • Client type: Confidential

The <base_url> in the redirect URI value is the base URL of the Kadi4Mat instance to use, e.g., not the URL of the configured Zenodo instance.

The base_url in the plugin config on the other hand specifies the URL of the Zenodo instance to use, which defaults to "". For testing purposes, the Zenodo sandbox can be used instead, as configured in the example above.


The influxdb plugin allows sysadmins to configure one or more InfluxDB instances, which allows users to query them through the API of Kadi4Mat. The following configuration values have to be specified when using this plugin:

    "influxdb": {
        "<name>": {              # Required
            "url": "<base_url>", # Required
            "title": "<title>",  # Optional
            "timeout": 10,       # Optional
            "token": "<token>",  # Optional
            "groups": [],        # Optional

Each instance requires a unique name, containing the instance-specific configuration as dictionary. The only required value within this dictionary is the url, specifying the base URL (i.e. without /api/...) of the InfluxDB instance to use.

The title specifies how an InfluxDB instance to be configured by a user is displayed in the UI, which defaults to the configured name.

The timeout value specifies the maximum amount of seconds a proxied request to an InfluxDB instance can last before it is aborted. If not specified, a default timeout of 10 seconds is used.

token configures a global token for all users. If a user token already exists for a given instance, it is ignored and the global token is used instead.


Be careful which scopes and buckets are accessible with the provided global token.

groups allows specifying a single group ID or a list of group IDs within Kadi4Mat, which restricts access to the InfluxDB instance to these groups. It is recommended to only specify groups that are manageable by the sysadmin.

Once set up, users will be able to configure their connection to an InfluxDB instance by providing a corresponding API token in their user preferences, which is stored encrypted in Kadi4Mat. Afterwards, the InfluxDB instance can be queried using the proxy endpoint /api/influxdb/<name>/query?orgID=<orgID> of Kadi4Mat, with the <name> replaced by the corresponding identifier of the configured InfluxDB instance and the <orgID> replaced by an organization ID within InfluxDB.