tad
uDSV
tad | uDSV | |
---|---|---|
3 | 3 | |
3,016 | 638 | |
- | - | |
7.3 | 8.1 | |
16 days ago | about 1 month ago | |
TypeScript | JavaScript | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tad
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Show HN: Open-source, browser-local data exploration using DuckDB-WASM and PRQL
Very impressive project and vision! Love the demo!
I am also ex-GS and worked on what I am fairly sure is the table display tool you're describing. I tried to carry the essential aspects of that work (multi-level pivots, with drill-down to the leaf level, and all interactive events and analytics supported by db queries) to Tad (https://www.tadviewer.com/, https://github.com/antonycourtney/tad), another open source project powered by DuckDb.
An embeddable version of Tad, powered by DuckDb WASM, is used as the results viewer in the MotherDuck Web UI (https://app.motherduck.com/).
If you're interested in embedding Tad in Pretzel, or leveraging pieces of it in your work, or collaborating on other aspects of DuckDb WASM powered UIs, please get in touch!
- Building a database to search Excel files
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Consider Using CSV
Since this is about CSV, this is obligatory tool for larger ones:
* https://github.com/antonycourtney/tad
uDSV
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Show HN: Open-source, browser-local data exploration using DuckDB-WASM and PRQL
Hey HN! We’ve built Pretzel, an open-source data exploration and visualization tool that runs fully in the browser and can handle large files (200 MB CSV on my 8gb MacBook air is snappy). It’s also reactive - so if, for example, you change a filter, all the data transform blocks after it re-evaluate automatically. You can try it here: https://pretzelai.github.io/ (static hosted webpage) or see a demo video here: https://www.youtube.com/watch?v=73wNEun_L7w
You can play with the demo CSV that’s pre-loaded (GitHub data of text-editor adjacent projects) or upload your own CSV/XLSX file. The tool runs fully in-browser—you can disconnect from the internet once the website loads—so feel free to use sensitive data if you like.
Here’s how it works: You upload a CSV file and then, explore your data as a series of successive data transforms and plots. For example, you might: (1) Remove some columns; (2) Apply some filters (remove nulls, remove outliers, restrict time range etc); (3) Do a pivot (i.e, a group-by but fancier); (4) Plot a chart; (5) Download the chart and the the transformed data. See screenshot: https://imgur.com/a/qO4yURI
In the UI, each transform step appears as a “Block”. You can always see the result of the full transform in a table on the right. The transform blocks are editable - for instance in the example above, you can go to step 2, change some filters and the reactivity will take care of re-computing all the cells that follow, including the charts.
We wanted Pretzel to run locally in the browser and be extremely performant on large files. So, we parse CSVs with the fastest CSV parser (uDSV: https://github.com/leeoniya/uDSV) and use DuckDB-Wasm (https://github.com/duckdb/duckdb-wasm) to do all the heavy lifting of processing the data. We also wanted to allow for chained data transformations where each new block operates on the result of the previous block. For this, we’re using PRQL (https://prql-lang.org/) since it maps 1-1 with chained data transform blocks - each block maps to a chunk of PRQL which when combined, describes the full data transform chain. (PRQL doesn’t support DuckDB’s Pivot statement though so we had to make some CTE based hacks).
There’s also an AI block: This is the only (optional) feature that requires an internet connection but we’re working on adding local model support via Ollama. For now, you can use your own OpenAI API key or use an AI server we provide (GPT4 proxy; it’s loaded with a few credits), specify a transform in plain english and get back the SQL for the transform which you can edit.
Our roadmap includes allowing API calls to create new columns; support for an SQL block with nice autocomplete features, and a Python block (using Pyodide to run Python in the browser) on the results of the data transforms, much like a jupyter notebook.
There’s two of us and we’ve only spent about a week coding this and fixing major bugs so there are still some bugs to iron out. We’d love for you to try this and to get your feedback!
- 25 CSV Parsers: A Benchmark
- Show HN: Udsv.js – A faster CSV parser in 5KB (min)
What are some alternatives?
parquet-go - pure golang library for reading/writing parquet file
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
rill - Rill is a tool for effortlessly transforming data sets into powerful, opinionated dashboards using SQL. BI-as-code.
perspective - A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
pretzelai - Open-source, browser-local data exploration using DuckDB-Wasm and PRQL
js-bson - BSON Parser for node and browser
duckdb-wasm - WebAssembly version of DuckDB
bsv - maximum performance data processing
KeenWrite - Free, open-source, cross-platform desktop Markdown text editor with live preview, string interpolation, and math.
csv-to-ml - 🧌 Upload a CSV file and get an ML model
xsv - A fast CSV command line toolkit written in Rust.