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This looks excellent. The ability to generate the Python code for the pandas dataframe transformations looks to be more useful than OpenRefine, TBH. How much work would it be to use Dask (and Dask-ML) as a backend? I see the OneHotEncoder button. Have you considered integration with Yellowbrick? They've probably already implemented a few of your near-future and someday roadmap items involving hyperparameter selection…
Anyway, I like the idea of making UI for Pandas, but I think that there should be more comprehensive software to make data science easier for non-coders.
I don't want to demean this amazing work but I think the user persona and the price for the tier seeming to be a mismatch.
Looks great, but not a fan of the licensing model! $600/year for something thats 99% open source? https://bamboolib.8080labs.com/pricing/
If this is supposed to replace Microsoft Excel - Would an enterprise be willing to pay $500 / month for this thing instead of getting an entire Office Suite? I don't want to demean this amazing work but I think the user persona and the price for the tier seeming to be a mismatch.
On top, bamboolib aims to reduce the training time for new Data Scientists.
In addition, bamboolib makes pandas available to people who are proficient with working on data but not specifically Python or coding. Thus, companies can let people with business knowledge work on the data transformations who then hand over the code to Data Engineers who deploy the code, or similar
What do you think about this?
Who is your target user? I think that if user is able to install jupyter notebook, pandas and load data with python, there is a high chance that user can also search pandas documentation and write few lines of code. Anyway, I like the idea of making UI for Pandas, but I think that there should be more comprehensive software to make data science easier for non-coders.
Yet, I definitely agree that bamboolib especially nicely suits pandas learners and non-coders. Would be happy to have a direct exchange on your ideas on this topic (feel free to pm me at tobiaskrabel at gmail dot com).
Previous - https://news.ycombinator.com/item?id=20614896
Who is your target user? I think that if user is able to install jupyter notebook, pandas and load data with python, there is a high chance that user can also search pandas documentation and write few lines of code. Anyway, I like the idea of making UI for Pandas, but I think that there should be more comprehensive software to make data science easier for non-coders.
Our main target user is a professional python data scientist that wants to be faster at data wrangling and visualization so that they can focus on understanding the data instead of coding the same pandas commands over and over again. That’s why bamboolib has both data transformation and exploration features included. In the future, we will provide more sophisticated features from which also more experienced data scie…
To me the only use of this tool is to make available the more complex uses of pandas to individuals without the background/understanding of how to wield those.
But without that understanding, giving those people a UI of functions they have no understanding of is just a recipe for disaster.
All these tools that aim to lower the barrier to entry for data science without fully automating it are doomed to fail because they have no audience. The market for analysts who aren't also software engineers is shrinking to 0.
This looks user friendly and will certainly have impact on ppl learning python/pandas. Yet not for me as I do not like the 'click to create macro code'. They never have all the things I want and like to have my code in my syntax. But that's me.