socketify.py
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It provides rapid data previews, insights through a data inspection tool, as well as a full SQL editor complimented by natural language support.
Users can generate custom charts to visualise their dataset and export as PNG, JPG, SVG or CSVs as well.
To supercharge a userโs ability to query their dataset, an AI data assistant powered by popular LLMs made by Anthropic, OpenAI and xAI is available.
Users can connect to many data sources like MotherDuck, HuggingFace, Excel, CSV, Parquet, JSON, Amazon S3 and many more.
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Datakit.page's answer:
Datakit is a truly zeroโfriction analytics studio that lives entirely in your browser (or on your own host) with no installs, no signโups, and no backend to trust. Your data never leaves your machine or your infrastructure, simply close the tab and everything vanishes. Under the hood it leverages WebAssemblyโpowered query engines for lightningโfast performance on even very large datasets, all wrapped in an intuitive, codeโlike UI.
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Privacyโฏ&โฏSecurity by Default: Unlike cloud BI tools that require you to upload or proxy data through thirdโparty servers, Datakit keeps everything local or on your private host, no risk of unintended data exposure.
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Datakit users are ProductโฏManagers & PMMโs who need quick, adโhoc analyses without waiting on engineering. Operations Engineers who need to write queries fast and provide reports. Executives who want to understand reports and extract insights. Financial analysts who want to spot discrepancies and audit their data.
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We met as work colleagues and, over years in Product & Engineering roles, repeatedly hit the same wall: painfully slow access to the data we needed to make actionable decisions. Frustrated by ticket queues and heavyweight BI setups, we teamed up for an AI hackathon and won first prize with a Slack AI Data Assistant. That prototype soon evolved into a lightweight BI tool, and as we iterated on it, we realized there was an even bigger opportunity. We stripped away the signโups, the servers, the configuration, and built DataKit: a freeโtoโplay, browserโbased data studio that delivers powerful querying and visualization, all while keeping your data entirely under your control.
Datakit.page's answer:
DuckDB-WASM as the in-browser SQL engine (compiled to WebAssembly for ultra-fast queries on CSV, Parquet, XLSX, JSON, etc.) React + TypeScript for a snappy, component-driven UI
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A number of large music companies use DataKit to open large royalty files.
Datakit.page might be a bit more popular than socketify.py. We know about 2 links to it since March 2021 and only 2 links to socketify.py. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago
Hi folks. I've been doing some experiments on how LLMs could get more handy in the day to day of working with files (CSV, Parquet, etc). Earlier last year, I built https://datakit.page and evolved it over and over into an all in-browser experience with help of duckdb-wasm. Got loads of feedbacks and I think it turned into a good shape with being an adhoc local data studio, but I kept hearing two main... - Source: Hacker News / 7 months ago
Live demo: https://datakit.page DataKit is a browser-based data analysis platform that processes multi-gigabyte files (CSV, Parquet, JSON, Excel) entirely client-side using DuckDB-WASM. Your data never leaves your browser. What it does:. - Source: Hacker News / 8 months ago