Ask HN: What do you use for basic data analysis, visuals, and graphing?

• stylegan2-projecting-images

  39 282 10.0 Jupyter Notebook

  Projecting images to latent space with StyleGAN2.

• superset

  15 58,576 9.9 TypeScript

  Apache Superset is a Data Visualization and Data Exploration Platform

  

  You can use superset[0]. Its a Flask app that can connect to databases, read csv, json and create good plots

  [0] https://superset.apache.org/

• SurveyJS

  surveyjs.io

  sponsored

  Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

  

• Spyder

  10 8,017 9.9 Python

  Official repository for Spyder - The Scientific Python Development Environment

  

• Rath

  3 3,948 7.1 TypeScript

  Next generation of automated data exploratory analysis and visualization platform.

  

  I'm considering https://github.com/Kanaries/Rath, which seems to be an OSS version of Tableau. Has anyone used it for this type of thing?

• sqliteviz

  3 1,853 7.7 JavaScript

  Instant offline SQL-powered data visualisation in your browser

  If I'm not trying to build a very specific graph or chart, and just exploring data I usually use either Rawgraphs or Sqliteviz. Rawgraphs is nice if you just want to swap visualizations out with smaller data as is, sqliteviz seems to handle much larger datasets and let's you use SQL if you want to change the resultset. Both seem to keep data local too and I know sqliteviz works offline, rawgraphs might too.

  https://www.rawgraphs.io/

  https://sqliteviz.com/

• vega

  2 10,834 8.4 JavaScript

  A visualization grammar.

  

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