Alternatives
Products that do what Analyse 1M rows of CSV on device does
Hello HN, Wish you a very Happy New Year. StatPecker is our baby project. A cute little infographics generation tool for anybody seeking insights. We recently dropped a new feature, to help user upload CSV upto 50mb or in other words data with ~1 million rows. We wanted to make sure user data doesn’t get leaked, so we developed a mechanism where the CSV is analysed on user’s device. We only use our AI APIs to generate SQL queries on the fly and query the DB on user’s machine, along with the final response for aggregated data. The result turns out to be quite fast. Would love you to try it out.
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2016 · magic.io
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2021 · github.com
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2020 · try.questdb.io
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2021 · superintendent.app
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2017 · csvexplorer.com
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2019 · flatfile.io
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Sep 2025 · github.com
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Hey HN! I've been building CSV editors for 15 years. This is my third rewrite, and I think I finally got it right. Key features: - Excel-like operation for intuitive use - Equipped with basic to advanced tools necessary for handling CSV - Supports various formats and character encodings. Can handle CSVs with different column counts - Cross-platform (Windows/Mac, Linux coming soon) - Opens 100MB files in 1.6 seconds (12x faster than Excel) Tech stack: Tauri (Rust + React/TypeScript/TailwindCSS) Would love feedback from anyone dealing with large datasets daily! Website:…
2025 · smoothcsv.com
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2018 · streamingpivot.com
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2022 · github.com
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Hello Hacker News! We're a team of YC founders (Meldium W13, Draft S11, TapEngage S11) launching something new (https://www.getcensus.com). How many times has your business team asked you to generate yet another CSV file, write a ”quick report” in SQL, or send some custom data to a terrible API (looking at you Marketo)? We’ve built a product that connects directly to your data warehouse and syncs into apps like Salesforce, Customer.io and even Google Sheets. In fact, your business teams won’t even need to rely on engineering to manage all these pipelines. The tech stack for…
2020
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2020 · dropbase.castodia.com
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2017 · tadviewer.com
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What started as a Claude Code experiment turned into a browser-native SQL workbench I now use daily. Runs DuckDB WASM entirely in your browser. No backend, no installation, no signup. - Query local files (CSV, Parquet, Excel) – data never leaves your machine - Handles 100M+ rows, 50GB+ files in a browser tab - Full UI: Monaco editor, schema explorer, spreadsheet-style results grid - Share SQL via URL – anyone can run your query instantly - BigQuery connector built-in (Snowflake coming) v0.2 – actively developing. Feedback welcome. GitHub (MIT):…
Dec 2025 · sql.dbxlite.com
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I'm building a privacy focused analytics tool, using WebAssembly and DuckDB. You can upload your files (CSV, JSON and Parquet), and interact with them as where they a SQL Server. Your data never leaves your computer, however I do track page views and visitors using Plausible. The next steps are to add forecasting and segmentation, as well as some data visualisation capabilities. I would love to hear your opinion. All code for the repo is available here: https://github.com/dilovancelik/client_side_analytics
2024 · dilovancelik.github.io
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New features added recently: [+] The "Text File Input Filters" have been added to enable processing of CSV / text files of any size with any number of rows regardless of the amount of RAM in a computer. Filters can use RegEx patters, the popular relations, ranges and fuzzy filters. https://citadel5.com/help/gsbase/open_text_file.png For example, in GS-Base you can load this (publicly available) NYC Yellow Taxis data set: https://www.kaggle.com/datasets/elemento/nyc-yellow-taxi-tri... (1.9GB, ~12.7 million rows) in ~20s on an…
2024 · citadel5.com
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