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Duckdb-wasm Alternatives
Similar projects and alternatives to duckdb-wasm
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prql
PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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web-llm
Bringing large-language models and chat to web browsers. Everything runs inside the browser with no server support.
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SaaSHub
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explorer
Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir
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ch32v003fun
An open source software development stack for the CH32V003 10¢ 48 MHz RISC-V Microcontroller - as well as many other chips within the ch32v/x line.
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xlsx-wasm-parser
A WebAssembly wrapper over the Rust Calaminecrate, bringing Blazingly Fast (🔥) XLSX deserialization to the browser and Node.
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duckdb-wasm reviews and mentions
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Parquet-WASM: Rust-based WebAssembly bindings to read and write Parquet data
i think duckdb-wasm is closer to 6MB over wire, but ~36MB once decompressed. (see net panel when loading https://shell.duckdb.org/)
the decompressed size should be okay since it's not the same as parsing and JITing 36MB of JS.
- 42.parquet – A Zip Bomb for the Big Data Age
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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!
- DuckDB-WASM: WebAssembly Version of DuckDB
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Show HN: DuckDB-WASM, execute queries in a browser, and share them as links
Amazing, I was eagerly waiting for this one. Loading extensions in previous DuckDB-WASM releases didn't work seamlessly. Looks like now it's the case :D
ref: https://github.com/duckdb/duckdb-wasm/issues/1542#issuecomme...
Thanks!!
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DuckDB 0.9.0
Btw, it's already happening:
Go to https://shell.duckdb.org, and type
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Does anyone else hate Pandas?
I like Pandas, but you will love duckdb, which is solving this exact problem: https://duckdb.org/; https://shell.duckdb.org/
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[Question] Using DuckDB to connect to (external/cloud) Postgres DB
There's also https://shell.duckdb.org/ for playing around.
- Ask HN: What tech is under the radar with all attention on ChatGPT etc.
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My first Rust project: Xlsx-wasm-parser. A WebAssembly-wrapper around the Calamine crate to bring Blazingly Fast Excel deserialization to the Browser and NodeJS.
I know xls != csv, but would be cool to compare against https://github.com/duckdb/duckdb-wasm as well
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A note from our sponsor - SaaSHub
www.saashub.com | 11 May 2024
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duckdb/duckdb-wasm is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of duckdb-wasm is C++.
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