Log in Metabase Console, go to Metabase Admin page like belowĬlick Add a database to add a new data source for MetabaseĬlick People tab on the top of Metabase Admin, you can add user and modify password Take the H2 demo data as an example to start data analysis work. Once you have completed the installation, click the button Take me to Metabase to log in Metabase Console You may wait for 1-3 Minutes for the loading of MetabaseĬlick the Let's get started button and set your administrator account, then go to next stepĪdd your data: you can select the type of Database which will be analyzed or click I'll add my data later then Metabase will create a Demo from H2 Database Using local Chrome or Firefox to visit the URL name or IP, you will enter the register interface of Metabase Login it to Metabase console (Don't know password?) ![]() Using local Chrome or Firefox to visit the URL name or IP, you will enter the login page(if the page is not a login page, please follow steps 3-7) Metabase Initialization Steps for you Get default username and password of Metabase.Complete Five steps for Domain if you want to use Domain for Metabase.Check your Inbound of Security Group Rule of Cloud Console to ensure the TCP:80 is allowed.Get the Internet IP of your Server on Cloud.If you have installed Websoft9 Metabase, the following steps is for your quick start Preparation This library is distributed under the MIT license.Metabase is the easy, open source way for everyone in your company to ask questions and learn from data. compile (), using = metabase ) Endpointsįor a full list of endpoints and methods, see Metabase API. create ( name = "Gmail Users", description = "Number of users with a email address.", table_id = 2, definition = Query ( table_id = 1, aggregations =, filters = ). from metabase import Metric, Query, Count, EndsWith, CaseOption metric = Metric. This can also be used to more easily create Metric objects. create ( database = 1, type = "query", query = from metabase import Dataset, Query, Count, GroupBy, TemporalOption dataset = Dataset. Metabase Query Language) from Python classes included in this package. ![]() You can also execute queries and get results back as a Pandas DataFrame. id, using = metabase, ) Querying & MBQL list (): # add all users to my_group PermissionMembership. create ( name = "My Group", using = metabase ) for user in User. Here's a slightly more advanced example: from metabase import User, PermissionGroup, PermissionMembership # create a new PermissionGroup my_group = PermissionGroup. send_invite () # Resend the user invite email for a given user. ![]() Some endpoints also support additional methods: from metabase import User user = User. delete() are available on allĮndpoints that support them in Metabase API. create ( using = metabase, first_name = "", last_name = "", email = "", password = "" ) delete () # create an object new_user = User. update ( is_superuser = True ) # delete an object user. is_active : print ( "User is active!" ) # update any available attribute user. get ( 1, using = metabase ) # attributes are automatically loaded and available in the instance if user. list ( using = metabase ) # get an object by ID user = User. from metabase import User # get all objects users = User. All changes are reflected in Metabase instantly. Instantiate an object from the Metabase API require the using parameter which expects an instance of Metabase suchĪs the one we just instantiated above. You can then interact with any of the supported endpoints through the classes included in this package. from metabase import Metabase metabase = Metabase ( host = "", user = "", password = "", ) Interacting with Endpoints Start by creating an instance of Metabase with your credentials. An unofficial Python library for the Metabase API.
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