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Huey: Blazing fast Analytics on Parquet, CSV and JSON - right in your Browser (froscon2025)

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Manage episode 500622964 series 2475293
Content provided by CCC media team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CCC media team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
At FrosCon 2024, I introduced Huey - a Light-weight ROLAP local client on top of DuckDB-WASM, that lets you pivot 100's of millions of rows with ease, directly in your browser. During this FrosCon presentation, the audience asked some tough questions and proposed some much needed features, in particular the ability to analyze large deeply nested JSON files. Thanks to this engagement, I have been able to elevate Huey to the next level! And I would love to bring the results back to FrosCon 2025. Key features, many of which were added thanks to Froscon 2024 Engagement: - Supports reading .parquet, .csv, .json and .duckdb database files. (Support for reading MS Excel .xlsx files and .sqlite is planned) - A comprehensive Attribute menu for exploring the structure of your dataset - An intuitive query builder that supports projection, aggregation, filtering, and (sub)totals - A pivot table to present analysis results - Many different aggregate functions for reporting and data exploration - Automatic breakdown of date/time columns into separate parts (year, month, quarter etc) for reporting - Support for array and STRUCT data types - Export of results and/or SQL queries to file or clipboard - Blazing fast, even for large files - courtesy of DuckDB - Truly light-weight. Huey depends on DuckDb-WASM, and Tabler Icons, but nothing more. If it makes sense, dependencies might be added, but up till now we get along fine with what the browser gives us. And that's enough. - Accessible. Huey uses semantic HTML and aria-roles. Please let us know if you find Huey has accessibility issues! - Zero install. Huey is a static webapp so you can simply download or checkout the source tree, and open src/index.html in your browser - no server required. Alternatively, use the Live demo site. Being a static webapp, Huey can run locally without a server, but there is nothing that keeps you from serving it from a webserver if you need or want to. - It's free! Huey is released under the MIT license, just like DuckDB. Licensed to the public under http://creativecommons.org/licenses/by/4.0 about this event: https://programm.froscon.org/2025/events/3398.html
  continue reading

2031 episodes

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iconShare
 
Manage episode 500622964 series 2475293
Content provided by CCC media team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CCC media team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
At FrosCon 2024, I introduced Huey - a Light-weight ROLAP local client on top of DuckDB-WASM, that lets you pivot 100's of millions of rows with ease, directly in your browser. During this FrosCon presentation, the audience asked some tough questions and proposed some much needed features, in particular the ability to analyze large deeply nested JSON files. Thanks to this engagement, I have been able to elevate Huey to the next level! And I would love to bring the results back to FrosCon 2025. Key features, many of which were added thanks to Froscon 2024 Engagement: - Supports reading .parquet, .csv, .json and .duckdb database files. (Support for reading MS Excel .xlsx files and .sqlite is planned) - A comprehensive Attribute menu for exploring the structure of your dataset - An intuitive query builder that supports projection, aggregation, filtering, and (sub)totals - A pivot table to present analysis results - Many different aggregate functions for reporting and data exploration - Automatic breakdown of date/time columns into separate parts (year, month, quarter etc) for reporting - Support for array and STRUCT data types - Export of results and/or SQL queries to file or clipboard - Blazing fast, even for large files - courtesy of DuckDB - Truly light-weight. Huey depends on DuckDb-WASM, and Tabler Icons, but nothing more. If it makes sense, dependencies might be added, but up till now we get along fine with what the browser gives us. And that's enough. - Accessible. Huey uses semantic HTML and aria-roles. Please let us know if you find Huey has accessibility issues! - Zero install. Huey is a static webapp so you can simply download or checkout the source tree, and open src/index.html in your browser - no server required. Alternatively, use the Live demo site. Being a static webapp, Huey can run locally without a server, but there is nothing that keeps you from serving it from a webserver if you need or want to. - It's free! Huey is released under the MIT license, just like DuckDB. Licensed to the public under http://creativecommons.org/licenses/by/4.0 about this event: https://programm.froscon.org/2025/events/3398.html
  continue reading

2031 episodes

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