csv-metabase-driver
cube.js
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csv-metabase-driver | cube.js | |
---|---|---|
1 | 84 | |
177 | 17,041 | |
- | 1.3% | |
0.0 | 9.9 | |
over 1 year ago | about 9 hours ago | |
Clojure | Rust | |
- | GNU General Public License v3.0 or later |
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.
csv-metabase-driver
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Open source Business intelligence platform made with Python
there is a csv driver[1] which allows you map a csv file on the metabase server, or providing a url of the csv. But I guess most people (including myself) would think of "upload csv file via UI" when it comes to csv support.
[1] https://github.com/Markenson/csv-metabase-driver/releases/ta...
cube.js
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Apache Superset
We use https://cube.dev/ as intermediate layer between data warehouse database and Superset (and other "terminal" apps for BI like report generators). You define your schema (metrics, dimensions, joins, calculated metrics etc) in cube and then access them by any tool that can connect to SQL db
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Show HN: VulcanSQL – Serve high-concurrency, low-latency API from OLAP
How is this different from something like https://cube.dev/
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Best Headless Chart Library?
Have a look to cube.js
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Semantic layer
Disclaimer: I'm with the Cube team. I think that Cube Cloud, the managed platform for Cube we're building at cube.dev, might help a lot with the data model authoring/editing/testing/deploying workflow. There's a cloud-based IDE, Git integration, private API endpoints for branches, and monitoring. Here are the docs: https://cube.dev/docs/dev-tools/dev-playground
Hey! I can related to many things here except for a few. As a person from the team behind Cube (cube.dev), I wonder what you think of our product and what is your experience with Cube.
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Dozer: A scalable Real-Time Data APIs backend written in Rust
How does this compare to something like Cube?
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Getting started with a metrics store
Cube Dev, a computer software company that specializes in the fields of open source, analytics, databases, and developer tools was founded in 2016. Cube Dev has a free open-source version and a paid Cube Cloud service in which they manage all of the infrastructure in a SaaS offering. With the free tier, you could transfer up to 1Gb of data between Cube Cloud and API clients or databases.
- Dbt to acquire Transform to build out its semantic layer
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Apache Iceberg-based opensource analytics stack demo
Hi, I've created an opensource demo of a Docker-based local analytics stack that includes Apache Iceberg, Trino, Spark, Dagster (orchestration), Cube.dev (analytics model), Metabase (reports and dashboards), and Jupyter (data science notebook). I think that this is a pretty good starting point for Iceberg projects. Feel free to check it out at GitHub.
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Looking for a library to aid with creating APIs for graphs, charts, etc
Sounds like you want this: https://cube.dev which is open source: https://github.com/cube-js/cube.js
What are some alternatives?
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
Druid - Apache Druid: a high performance real-time analytics database.
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
metriql - The metrics layer for your data. Join us at https://metriql.com/slack
GoAccess - GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.
Rudderstack - Privacy and Security focused Segment-alternative, in Golang and React
Matomo - Empowering People Ethically with the leading open source alternative to Google Analytics that gives you full control over your data. Matomo lets you easily collect data from websites & apps and visualise this data and extract insights. Privacy is built-in. Liberating Web Analytics. Star us on Github? +1. And we love Pull Requests!
Snowplow - The enterprise-grade behavioral data engine (web, mobile, server-side, webhooks), running cloud-natively on AWS and GCP
superset - Apache Superset is a Data Visualization and Data Exploration Platform
Countly - Countly is a product analytics platform that helps teams track, analyze and act-on their user actions and behaviour on mobile, web and desktop applications.