Looker
Tableau
Microsoft Power BI
Sisense
Domo
Qlik
QlikSense
Google BigQuery
WebComponents.dev
Arbiter IDE
Deco IDE
CodeOnline
Minze.dev
Vite
WebTestIt
Judge0 IDE
Looker is a business intelligence platform with an analytics-oriented application server that sits on top of relational data stores. The Looker platform includes an end-user interface for exploring data, a reusable development paradigm for creating data discovery experiences, and an extensible API set so the data can exist in other systems. Looker enables anyone to search and explore data, build dashboards and reports, and share everything easily and quickly.
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Based on our record, Looker should be more popular than WebComponents.dev. It has been mentiond 14 times since March 2021. 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.
Then in the "foldername" you can have 5 folders, each one for each of the groups. This means that when group1 enters looker.com, his default page will be the "foldername", which contains group1folder (he cannot see the rest of the folders if you have set the permissions correctly for each folder). Source: about 2 years ago
Even if you want to make Wide Tables, combining fact and dimensions is often the easiest way to create them, so why not make them available? Looker, for example, is well suited to dimensional models because it takes care of the joins that can make Kimball warehouses hard to navigate for business users. - Source: dev.to / over 2 years ago
We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / about 3 years ago
Dashboard: I like to use Datastudio because it's easy (just like using google sheets), but you can also try out Looker. Source: over 3 years ago
For Growth and larger, I would recommend Looker. The only reason I wouldn't recommend it for the smaller company stages is that the cost is much higher than alternatives such as Metabase. With Looker, you define your data model in LookML, which Looker then uses to provide a drag-and-drop interface for end-users that enables them to build their own visualizations without needing to write SQL. This lets your... - Source: dev.to / over 3 years ago
How the tag name gets into your code can vary based on the method you are using to write your components. If you load up a few of the templates over on WebComponents.dev you'll see that many examples just use a string value typed into the define function directly. - Source: dev.to / over 2 years ago
WebComponents.dev — In-browser IDE to code web components in isolation with 58 templates available, supporting stories and tests. - Source: dev.to / over 2 years ago
We will show the benefits of Atomico through a comparison, we have used as a basis for this comparison the existing counter webcomponents in webcomponents.dev of Atomico, Lit, Preact and React as a base. - Source: dev.to / almost 3 years ago
Unfortunately, I couldn't get this to work in the online LWC editor https://webcomponents.dev So assuming this also won't work in the shadow DOM enviroment of SF? Source: about 3 years ago
WebComponentsDev have a lot of libraries and info (like codesandbox, but webcomponents land): Https://webcomponents.dev/. Source: about 3 years ago
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.
Arbiter IDE - The offline-friendly, in-browser IDE for pure JS prototypes
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
Deco IDE - Best IDE for building React Native apps
Sisense - The BI & Dashboard Software to handle multiple, large data sets.
CodeOnline - A remote and secure workspace powered by VSCode
