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Devirto: Data Exploration Virtual Tool
Explore your data. No code required.
Devirto is a no-code data exploration tool that turns CSV files into automated EDA. Upload a dataset to detect column types, data quality issues, feature relationships and relevance, and generate statistical insights. Test your own hypotheses, filter problematic data, download cleaned datasets, and build custom PDF reports. No setup, no code, and currently no sign-up required. Devirto is free to use while I test it with real-world datasets.
I built Devirto because exploratory data analysis often starts with the same question: “What’s actually inside this dataset?”
Instead of writing code just to get the first picture, I wanted a tool where you can upload a CSV and immediately start exploring its structure, data quality, relationships, relevance, and statistical insights.
Devirto is still an early-stage MVP, so I’m especially interested in testing it on real-world datasets that I haven’t seen before.
It’s currently completely free and requires no sign-up. Uploaded datasets are processed in memory and aren’t saved to persistent server or cloud storage.
If you work with data, I’d really appreciate you trying it with one of your datasets. I’m especially interested in hearing: • Did Devirto find anything useful or unexpected? • Was anything confusing or incorrect? • What would make you want to use it again?
Thanks for checking it out!
About Devirto: Data Exploration Virtual Tool on Product Hunt
“Explore your data. No code required.”
Devirto: Data Exploration Virtual Tool was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #160 on the daily leaderboard. Devirto is a no-code data exploration tool that turns CSV files into automated EDA. Upload a dataset to detect column types, data quality issues, feature relationships and relevance, and generate statistical insights. Test your own hypotheses, filter problematic data, download cleaned datasets, and build custom PDF reports. No setup, no code, and currently no sign-up required. Devirto is free to use while I test it with real-world datasets.
On the analytics side, Devirto: Data Exploration Virtual Tool competes within SaaS and Data & Analytics — topics that collectively have 49.8k followers on Product Hunt. The dashboard above tracks how Devirto: Data Exploration Virtual Tool performed against the three products that launched closest to it on the same day.
Who hunted Devirto: Data Exploration Virtual Tool?
Devirto: Data Exploration Virtual Tool was hunted by Tivaniuk Evgenie. 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 Devirto: Data Exploration Virtual Tool including community comment highlights and product details, visit the product overview.
Tivaniuk Evgenie
Hello everyone!
I built Devirto because exploratory data analysis often starts with the same question: “What’s actually inside this dataset?”
Instead of writing code just to get the first picture, I wanted a tool where you can upload a CSV and immediately start exploring its structure, data quality, relationships, relevance, and statistical insights.
Devirto is still an early-stage MVP, so I’m especially interested in testing it on real-world datasets that I haven’t seen before.
It’s currently completely free and requires no sign-up. Uploaded datasets are processed in memory and aren’t saved to persistent server or cloud storage.
If you work with data, I’d really appreciate you trying it with one of your datasets. I’m especially interested in hearing:
• Did Devirto find anything useful or unexpected?
• Was anything confusing or incorrect?
• What would make you want to use it again?
Thanks for checking it out!