
Redash
Metabase
Tableau
Microsoft Power BI
Looker
Google Data Studio
Apache Superset
D3.js
DataQuest Beta
Jovian
Gyana
Towardsdatascience
data.world
Amie
The Art of Data Science
Deepnote
DataQuest BetaDataQuest Beta might be a bit more popular than Redash. We know about 19 links to it since March 2021 and only 19 links to Redash. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I am looking for service or tool similiar to Metabase or Redash that allows me to add data source - for example Postgres connection, and create raw SQL queries that can be shared or exposed through API. So instead of keeping raw SQL code somewhere, my other service would call this tool e.g. http://microservice/query=1?param1=xx&page=2 and get the results from the DB. These calls are internal only and part of ETL... Source: almost 3 years ago
I have tried Metabase, Redash beore (both self hosted open source versions), from my experience I find Metabase a bit easy to work with. Source: about 3 years ago
Regarding visualization tools, sqliteviz has proven to be the best I've found so far. Their web app runs locally but has some trackers, so I run it locally via a simple, static HTTP server. Falcon and Redash seem like overkill for my needs. Source: about 3 years ago
In addition to metabase there are redash[0] and apache superset[1]. They are more or less similar to metabase with some different quirks. You can also visualize quite a bit of data in grafana[2] as well. [0] https://redash.io/ [1] https://superset.apache.org/ [2] https://github.com/grafana/grafana. - Source: Hacker News / over 3 years ago
This is typically called a "dashboard" and there is a whole industry of existing commercial products (for example https://redash.io/) that are built around doing data analysis and visualization. Source: almost 4 years ago
Have you consider dataquest.io ? I m thinking on subscribing there, the learning path since well balanced between theorical and practical knowledge, plus there are some pet projects initiaves. Source: over 3 years ago
I did a lot of planning, reporting and optimizations based on data when I was in digital media, so I've been applying to data focused roles. In my free time, I've also been learning Data Science via dataquest.io, hoping to take my analysis to the next level, learn new skill sets, and keep coding. Source: over 3 years ago
I recommend dataquest.io. It's an intuitive way to learn the fundamentals if you'd rather not study in a more formal manner. Source: over 3 years ago
Does it need to be a postgrad degree? If you want more hands on you might be better using Dataquest. Source: about 4 years ago
I am using Dataquest to learn Python for Data Science there. I also got a book from O'Riley called Data Science Handbook and the Automating the Boring Stuff with Python book. SQL is good to know and comes in handy. Source: about 4 years ago
Metabase - Metabase is the easy, open source way for everyone in your company to ask questions and learn from...
Jovian - Learn Data Science and ML with free hands-on online courses
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Gyana - Intuitive easy-to-use report and dashboard tool to stop wasting time on repetitive and tedious tasks.
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
Towardsdatascience - Towardsdatascience is one of the fastest-growing web-based platforms that allow you to exchange ideas, concepts, and codes to understand data science.