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

1. stylegan2-projecting-images

   1 165 300 10.0 Jupyter Notebook

   Projecting images to latent space with StyleGAN2.

   

2. SurveyJS

   surveyjs.io featured

   SurveyJS: Build JSON-Driven Surveys and Forms with Full Data Control. Add the SurveyJS UI components to your JS app (React/Angular/Vue3). Securely collect and analyze data without sending it to 3rd-party servers. Fully customizable, works with any backend, and ideal for data-heavy apps. Learn more.

   

3. superset

   2 155 69,482 10.0 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/

4. Spyder

   3 85 9,061 9.9 Python

   Official repository for Spyder - The Scientific Python Development Environment

   

5. Rath

   4 44 4,584 4.4 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?

6. sqliteviz

   5 10 2,252 7.9 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/

7. vega

   6 22 11,747 9.2 JavaScript

   A visualization grammar.

   

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