dbt-metabase VS MetabaseMonitoringToolkit

Compare dbt-metabase vs MetabaseMonitoringToolkit and see what are their differences.

MetabaseMonitoringToolkit

Set of queries designed to measure how users are consuming queries and dashboards. (by MilhosOU)
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dbt-metabase MetabaseMonitoringToolkit
1 1
425 23
- -
8.2 4.6
11 days ago 8 months ago
Python
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

dbt-metabase

Posts with mentions or reviews of dbt-metabase. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-21.
  • A modern data stack for startups
    4 projects | dev.to | 21 Apr 2022
    So how do we get this into Metabase? There's a tool called dbt-metabase that can infer Metabase semantic type information from the dbt schema and push it into Metabase- we run this whenever complete a dbt build, helping sync Metabase with whatever new fields we may have added.

MetabaseMonitoringToolkit

Posts with mentions or reviews of MetabaseMonitoringToolkit. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing dbt-metabase and MetabaseMonitoringToolkit you can also consider the following projects:

dbt-fal - do more with dbt. dbt-fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning models.

houdini.git - Free and open source fundraising infrastructure for nonprofits and NGOs

dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

metabase-clickhouse-driver - ClickHouse database driver for the Metabase business intelligence front-end

airflow-dbt - Apache Airflow integration for dbt

awesome-datascience - :memo: An awesome Data Science repository to learn and apply for real world problems.

nodejs-bigquery - Node.js client for Google Cloud BigQuery: A fast, economical and fully-managed enterprise data warehouse for large-scale data analytics.

Data-science-best-resources - Carefully curated resource links for data science in one place

ngods-stocks - New Generation Opensource Data Stack Demo

Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:

pgsink - Logically replicate data out of Postgres into sinks (files, Google BigQuery, etc)

blacklist - Curated and well-maintained hostfile to block ads, tracking, cryptomining, and more! Updated regularly. ⚡🔒