The "million row limit" in Excel is a relic. Even when using tools like VS Code or Notepad++ for large files, the memory pressure often makes the UI unusable.
DataOlllo is a lightweight viewer designed to stream data directly from disk. It handles massive CSVs and modern formats like Parquet and Arrow natively. It’s been helpful for my workflow when I just need to filter and export a subset of a massive dataset without spinning up a Jupyter notebook.
DataOlllo, Your Private AI Data Analyst — Analyze, Automate, Reuse.
DataOlllo helps you explore, analyze, and visualize your data with AI—fully offline and secure. Build reusable workflows, automate complex tasks, and get instant insights. No coding needed, just clicks and natural language.
Hi HN! I’m excited to share the newest version of Data.olllo, a local AI workflow automator for data processing, visualization, and reusable workflows.
What’s new
• Next-gen workflow engine: Build, save, and reuse workflows for any dataset
• AI-assisted automation: Generate steps or entire pipelines with AI agents
• Full local processing: Secure, offline, with no raw data sent to the cloud
• Scalable: Works from small CSVs to multi-GB datasets
Why it’s useful
• Clean, transform, and visualize data without writing code
• Apply saved workflows to similar datasets instantly
• Ideal for repetitive tasks, analytics, ecommerce data, logs, or any large dataset
Every week, Shopify sellers download sales CSVs and Facebook ad reports, then spend hours merging them in Excel just to figure out if they actually made money.
I got tired of that.
So I built Data.olllo
— a local desktop app that lets you open both CSVs, ask an AI assistant things like “calculate profit by campaign per month”, see the code it generates, preview the result, then click “Apply All” to run it safely on your full data. You can even visualize the outcome (income, outcome, profit) as interactive bar charts and save the whole workflow to rerun next week — all locally, no cloud uploads.
It turned what used to be a 2-hour spreadsheet task into a 10-second repeatable workflow.
I’d love feedback from the HN community — on the product, workflow design, or how to make the AI assistant smarter for real-world data tasks.
If you work with large CSV, Excel, or database files, Data.olllo is a new desktop tool that lets you clean, analyze, and visualize datasets locally without uploading to the cloud.
- Privacy-first: everything stays on your machine
- Lightning fast: handles millions of rows and 100GB+ files
- AI assistant: generates pandas, plotly, and p5.js code you can trust and control
- No-code interface for all your common data operations
Data.olllo — a local-first, privacy-focused data analysis tool designed for large datasets. Explore and visualize your data interactively without coding or uploading sensitive information to the cloud. Works offline, fast, and secure.”
I’m the creator of Data.olllo, a desktop data tool designed as a powerful alternative to Excel, built to handle large and complex datasets without the usual crashes or slowdowns.
With Data.olllo, you can open, clean, and visualize CSV, Excel, or JSON files instantly — all offline, with no cloud uploads and zero coding required. Whether you’re working with hundreds or millions of rows, Data.olllo stays fast and responsive.
Key highlights:
• Blazing-fast loading and exploration of large datasets
• 100% local processing for total data privacy and security
• AI-powered natural language commands to clean, merge, and analyze data without formulas or scripts
• Multi-core and GPU acceleration to leverage your hardware fully
• Intuitive no-code workspace suitable for data analysts, scientists, and anyone frustrated by Excel’s limits
I built Data.olllo to solve the headaches of Excel crashing on big files and the privacy concerns of cloud-based AI tools. If you want a seamless, private, and powerful data analysis experience, check it out.
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