![]() If you’d like more technical resources to set up your data stack with Metabase, connect with a Metabase Expert. Unless otherwise noted, all files © 2023 Metabase, Inc. This repository contains the source code for both the Open Source edition of Metabase, released under the AGPL, as well as the commercial editions of Metabase, which are released under the Metabase Commercial Software License. Provide a custom customer lookup application for the people in your company.Ĭheck out our guide, Working with the Metabase API.Export subsets of your users to third party marketing automation software.Hit our Query API from Javascript to integrate analytics. The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum: - metabase/api-documentation. You can also check out our policies on translations. See which translations are available and help contribute to internationalization using our project over at POEditor. We want Metabase to be available in as many languages as possible. Overview Documentation Tutorials Reviews Insights Code Browser Dependencies Versions Awards. To get started with a development installation of the Metabase, check out our Developers Guide. metabase docs, getting started, code examples, API reference and more. Embed charts and dashboards in your app, or even your entire Metabase.Set up alerts to have Metabase notify you when your data changes.Send data to Slack or email on a schedule with dashboard subscriptions.Define canonical segments and metrics for your team to use.Create models that clean up, annotate, and/or combine raw tables.Build handsome, interactive dashboards with filters, auto-refresh, fullscreen, and custom click behavior.Use the SQL editor for more complex queries.Let anyone on your team ask questions without knowing SQL.Set up in five minutes (we're not kidding). ![]() Vendors offer different versions of this function. The code in this article should be a good starting point for you to learn and explore other API functions.Metabase is the easy, open-source way for everyone in your company to ask questions and learn from data. Since we host your Metabase for you, you may need to add our IP addresses to the whitelist for your security group or firewall rules so they don’t block calls from your Metabase Cloud to your connected databases. This regex cheat sheet is based on Python 3s documentation on. There are also many other API calls available in Metabase we did not cover. ![]() Iterate on dashboards and visualizations with zero code, no eng dependencies. Make it your own with easy, no-code whitelabeling. Launch faster than you can pick a charting library with our iframe or JWT-signed embeds. Power your product’s reporting by embedding charts, dashboards or all of Metabase. With this method, we can have all our queries in the Python script and we know exactly what we are querying. Customer facing analytics in days, not sprints. I prefer querying directly from the database with a user-defined query using Metabase rest API. Here I showed you three ways to query data from Metabase: query from the card using Metabase rest API, query directly from the database with a user-defined query using Metabase rest API, and query from the card using a Python API metabasepy. The sub-path specifies the result format. To use the dataset endpoint, send a POST to a sub-path of /api/dataset. But you are certainly welcome to try it out. The first task is to find the relevant Metabase ID for the database being queried, from GET /api/database, and filter the response JSON by name to find the integer id. I feel like the Python API is less flexible. Similar to the Query card section we mentioned above, here we can query card 1 with the following code: from metabasepy import Client, MetabaseTableParser cli = Client(username=username, password=password, base_url=endpoint) cli.authenticate() query_response = (card_id="1") data_table = MetabaseTableParser.get_table(metabase_response=query_response) df = pd.DataFrame(data_table._dict_) df I also tried out a Python API metabasepy. Good quality documentation: Metabase offers extensive good quality. Now you should be able to see the results of your query in df. Redash and Metabase offer a lot of technological similarities in the category of data.
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