Dev tools · September 25, 2025
Data-Cent – Interactive CSV Visualization and Analysis in Your Browser
I built Data-Cent because I often need to explore CSVs quickly without firing up pandas or writing custom code. It’s a Streamlit-based web app where you can: • Upload CSV files (no setup) • Auto-filter and explore the data • Create interactive charts (line, bar, scatter, etc.) • Run quick stats (mean, median, std) • Download a PDF/HTML report of your analysis Live demo: https://data-cent.streamlit.app/ Source: https://github.com/data-centt/Data-Analytics Would love feedback on performance and UI/UX — especially from folks who explore data often or…
Data-Cent – Interactive CSV Visualization and Analysis in Your Browser launched on September 25, 2025 with 6 votes, #3,421 of 8,160 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Contribute to Ad-meliorael/Data-Analytics development by creating an account on GitHub.
Data-Cent is an interactive data visualisation and management app built using Streamlit. It allows users to upload, analyze, and visualize datasets easily, providing a user-friendly interface for exploring data insights. Visit the Data-Cent Website to use the app directly online without any setup. git clone https://github.com/data-centt/Data-Analytics.git Navigate into the project directory: streamlit run home.py Using the App Online Note: App might be asleep, just start to wake up the app. No installation is needed! Visit the Data-Cent Website to use the app directly in your browser. Include some screenshots of your app here to help users understand what to expect. Contributions are…from github.com
In the maker’s words, at launch
I built Data-Cent because I often need to explore CSVs quickly without firing up pandas or writing custom code. It’s a Streamlit-based web app where you can: • Upload CSV files (no setup) • Auto-filter and explore the data • Create interactive charts (line, bar, scatter, etc.) • Run quick stats (mean, median, std) •…
Does a similar job
all alternatives →- VOVisprex – Open-source, in-browser data visualisation tool for CSV files2024 · docs.visprex.com · ▲194
Hello HN. I've always found writing data visualisation scripts boring and repetitive in data science workflows earlier in my career, so I built this tool to automate it. The available methods are based on my experience in econometrics where histograms and scatterplots were the starting points to check data distributions. The link is to the documentation and the app is freely available at https://visprex.com, and if you're curious about the implementation it's open source at https://github.com/visprex/visprex. I'd appreciate any comments and feedback!


Streamlit – Turn Python Scripts into Beautiful ML Tools2019 · github.com · ▲52Streamlit — A faster way to build and share data apps. - streamlit/streamlit
CSV Data Visualizer2024 · csv-data-visualizer.netlify.app · ▲8CSV Visualizer: Turn raw data into stunning visuals fast! 📊
CSV GB+ by Data.olllo – Open and Process CSVs Locally2025 · apps.microsoft.com · ▲51I built CSV GB+ by Data.olllo, a local data tool that lets you open, clean, and export gigabyte-sized CSVs (even billions of rows) without writing code. Most spreadsheet apps choke on big files. Coding in pandas or Polars works—but not everyone wants to write scripts just to filter or merge CSVs. CSV GB+ gives you a fast, point-and-click interface built on dual backends (memory-optimized or disk-backed) so you can process huge datasets offline. Key Features: Handles massive CSVs with ease — merge, split, dedup, filter, batch export Smart engine switch: disk-based "V Core" or RAM-based "P…
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