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Allow nested flow zones
Hi, I use flow zones a lot and appreciate the value. Why not extend the capability and allow nested flow zones, i.e. a flow zone within a flow zone? thx
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Comments in Formula
User Story: As a creator of formulas in Dataiku, I would like to be able to add comments in formulas, this would allow me to leave information in formulas about why formulas are configured the way that they are, increasing trust and communications, and it would allow the ability to "comment out" chunks of code while…
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Dark Mode
Every developer needs a dark mode A dark theme for the flow, datasets, and recipe configs would go a long way toward making Dataiku fit into workflows that involve many other dark mode tools. Dataiku is definitely very bright when swapping from other tools which operate in dark mode. Extensions like Dark Reader do a pretty…
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Enhance the Files in Folder dataset to allow filtering for the latest files
The Files in Folder dataset is an extremely useful built-in dataset that allows Dataiku users to quickly load a bunch of similar files all at once. While very powerful it could even be better if it could be enhanced to add the capability to select the lastest file without having to write a Python recipe. It is currently…
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Marimo Notebooks Integration in DSS
I'd like to propose the integration of Marimo notebooks alongside the existing Jupyter notebooks in DSS. Marimo is an innovative notebook environment that addresses several limitations of traditional Jupyter notebooks while maintaining compatibility. Here are some key advantages of Marimo notebooks: Code quality : Marimo…
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Shared Secrets
As we've been developing plugins and for other more exotic use cases, we've seen the need for shared secrets in Dataiku. Teams share account credentials or plugins may rely on some group based credential (e.g. Box JWT tokens for a "team account"). We hack around this using FTP type connections and parsing their secrets or…
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Show webapps and lib in bundle
Hello, Working on projects especially based on webapp and using libraries. It appears that when creating a bundle, it does not appear. my workaround solution is to download the bundle and check manually what's in. Best regards, Simon
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Managed Folder tree-like view and preview for readable files
Hello, My team and me have a massive usage of managed folders for basically anything we do by code. Indeed, we have mixed data types (parquet, json, pickle, xlsx, etc) and to use them we found managed folders easy to use and work in Python. We find it difficult to navigate in a Managed Folder (DSS 13.5.4) and we think that…
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Add option to support non-pandas dataframes (e.g. polars) in Python recipes
Hi, There are many pandas alternatives. One that is new and very fast is polars. Polars is built on Rust so it is memory safe and runs in parallel by design. I use polars in one of my recipes but have to convert it to pandas to write the dataset. thx
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Prepare Recipe : Format date with custom format - Multiple columns
As of DSS v. 13.5, The processor "Format date with custom format" in the Prepare recipe does not allow to apply the same format to multiple columns at at time. It would be very usefull to perform this step accros multiple columns, just like in the Parse date processor : Best regards,