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LimiGrid
Visual data cleaning - spot messy data, fix it fast.
LimiGrid is a visual data cleaning tool for anyone who works with messy spreadsheets. Upload a csv, explore it with different chart types, then apply different cleaning operations: fill missing values, remove outliers, standardize text, encode categories, parse dates, and more with just a click of a button. Split datasets into train/test with stratification, collaborate with team members, and download clean data when you're done.
Every data analyst knows the pain - you get a csv, and 60% of your time goes into cleaning it before you can do anything useful. Missing values, inconsistent text, outliers, weird date formats. You either write pandas boilerplate for hours or use a black-box tool that changes things without you seeing what happened.
LimiGrid lets you upload your csv, explore it with charts to spot issues, then apply cleaning operations with a live preview of exactly what will change. Fill missing values, standardize text, remove outliers, encode categories - 30+ operations. Split into train/test, collaborate with teammates, download clean data.
As people who work with data, writing the same pandas code over and over becomes tiring and slow. We wanted a visual tool where you could do everything with a click of a button. So we built one.
This is an early beta, everything is free while we gather feedback. We'd love your honest thoughts on what works, what's broken, and what you'd want to see next.
“Visual data cleaning - spot messy data, fix it fast.”
LimiGrid was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #58 on the daily leaderboard. LimiGrid is a visual data cleaning tool for anyone who works with messy spreadsheets. Upload a csv, explore it with different chart types, then apply different cleaning operations: fill missing values, remove outliers, standardize text, encode categories, parse dates, and more with just a click of a button. Split datasets into train/test with stratification, collaborate with team members, and download clean data when you're done.
On the analytics side, LimiGrid competes within Productivity, Analytics and Data Science — topics that collectively have 834.9k followers on Product Hunt. The dashboard above tracks how LimiGrid performed against the three products that launched closest to it on the same day.
Who hunted LimiGrid?
LimiGrid was hunted by Thulani Kunene. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of LimiGrid including community comment highlights and product details, visit the product overview.
Hey Product Hunt 👋
From the team behind LimiGrid.
Every data analyst knows the pain - you get a csv, and 60% of your time goes into cleaning it before you can do anything useful. Missing values, inconsistent text, outliers, weird date formats. You either write pandas boilerplate for hours or use a black-box tool that changes things without you seeing what happened.
LimiGrid lets you upload your csv, explore it with charts to spot issues, then apply cleaning operations with a live preview of exactly what will change. Fill missing values, standardize text, remove outliers, encode categories - 30+ operations. Split into train/test, collaborate with teammates, download clean data.
As people who work with data, writing the same pandas code over and over becomes tiring and slow. We wanted a visual tool where you could do everything with a click of a button. So we built one.
This is an early beta, everything is free while we gather feedback. We'd love your honest thoughts on what works, what's broken, and what you'd want to see next.
Try it here: https://limigrid.up.railway.app/
Thanks for checking it out! 🙏