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.
I want to share a cool feature in Data.olllo, a local, offline, no-code data analysis tool with AI chat capabilities.
Handling time and date data can be a pain—timestamps, strings, extracting year/month, or converting formats usually require coding knowledge. With Data.olllo’s AI chat, you just describe what you want in plain English, and the AI instantly generates the correct pandas code inside a process(dfs) function you can run on your dataset.
For example, you can:
- Convert Unix timestamps to readable date-times
- Extract parts like year and month from date columns
- Parse messy string dates into proper datetime objects
- Convert datetime back to numeric timestamps
- Format datetime columns into any string style you want
Here’s a sample snippet the AI generates for converting a Unix timestamp column:
You don’t need to know pandas or write any code yourself — just type your request, and the AI does the heavy lifting, letting you explore and visualize your data faster.
Data.olllo runs 100% locally, so your data stays private, and it can handle millions of rows quickly.
If you often struggle with time data or want a fast way to analyze large CSVs without coding, give Data.olllo a try:
We all have those moments: a massive dataset, full of potential, but locked behind rows, columns, and hours of manual digging. I built something to change that — not just for myself, but for anyone who’s ever stared at a CSV and thought, “There has to be a better way.”
Data.olllo is a desktop app that lets you talk to your data.
Ask in plain English:
“Which products grew the fastest this year?”
“What’s unusual about Q2 performance?”
“Show me regional trends for refunds.”
The AI assistant understands your dataset and responds with insights — tables, summaries, even charts. No Python scripts. No cloud latency. No need to upload anything. Your data stays with you. It just becomes smarter.
Behind the scenes, it uses your choice of AI (ChatGPT, Gemini, or even a local LLM), but the goal isn’t just automation — it’s flow. You and your data, in sync.
This isn’t a data tool. It’s a new way of thinking with your information.
