
Qlik
Tableau
Looker
Sisense
Microsoft Power BI
Domo
QlikSense
MicroStrategy
marimo
Observable
Hyperquery
Zerve AI
PythonSandbox
DataLab
Quadratic
Colab Notebooks
QlikNo features have been listed yet.
Qlik's associative data model makes data analytics seamless.
Highly Recomend using this to anyone.
Based on our record, marimo seems to be a lot more popular than Qlik. While we know about 15 links to marimo, we've tracked only 1 mention of Qlik. 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.
All files was pulled into a program called : QLIK, qlik.com is the company and my company uses it for our reporting and our customer's reporting needs. Source: over 5 years ago
Pluto is great. I use it all the time. If you like the reactivity/reproducibility but are wedded to Python, you might want to check out Marimo, which is also great. [https://marimo.io/] It too puts the output of a cell above the code so if you're unable to adapt to things that are different it's also probably not for you. FWIW, Observable's Notebooks (Javascript) work the same way: output above the code... - Source: Hacker News / about 2 months ago
Marimo notebooks give you the best of both worlds (https://marimo.io). - Source: Hacker News / 3 months ago
Agree with the author, will add: duckdb is an extremely compelling choice if youโre a developer and want to embed analytics in your app (which can also run in a web browser with wasm!) Think this opens up a lot of interesting possibilities like more powerful analytics notebooks like marimo (https://marimo.io/) โฆ and thatโs just one example of many. - Source: Hacker News / 6 months ago
The training pipeline uses Marimo notebooks (think Jupyter, but reactive). Models are quantized to uint8 and served via CDN. Total bundle for a predictor: up-to 2MB. - Source: dev.to / 7 months ago
Marimo is a Jupyter notebook with each cell being somewhat logically connected to each other. That's way if you update the value of a variable in a cell and re-run it, related values in other cells will be auto-updated and auto-run. This is called reactive execution. Thus the notebook can act as a single python script or app and has an extension of .py instead of .ipynb. - Source: dev.to / 8 months 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.
Observable - Interactive code examples/posts
Looker - Looker makes it easy for analysts to create and curate custom data experiencesโso everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Hyperquery - Data notebook built for speed, visibility, and collaboration
Sisense - The BI & Dashboard Software to handle multiple, large data sets.
Zerve AI - What if Jupyter + Figma + VSCode had a baby?