A few months ago I was sitting with my friend who’s doing his data science degree. He had a CSV file, maybe 500 rows, and just needed to clean it before running his model -> remove duplicates, fix some inconsistent date formats, that kind of thing.<\/p>\n
He opened Power BI because that’s genuinely what his college taught him. It worked, but it took 20 minutes for something that felt like it should take 2.<\/p>\n
I realized the problem wasn’t him, there just aren’t many tools that sit between “write pandas code” and “open a full BI suite” for basic data cleaning. That gap is what I wanted to fill.<\/p>\n
So I built DatumInt. Drop in a CSV or Excel file, it runs entirely in your browser, nothing goes to a server. <\/p>\n
It auto-detects what’s wrong – duplicates, encoding issues, messy date formats, empty columns – gives you a health score and fixes everything in one click.<\/p>\n
No code. No heavy software. No signup. Still early and actively improving it.<\/p>\n
Curious what data quality issues you hit most often – what would make a tool like this actually useful to you?<\/p>\n
(Disclosure: I’m the developer of this tool)<\/p>\n<\/div>\n
submitted by \/u\/PriorNervous1031 <\/a>
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