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

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com
#Data Visualization #Visualization #Data Analysis #Python #IDEs

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  • stylegan2-projecting-images

    Projecting images to latent space with StyleGAN2.

  • superset

    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/

  • Appwrite

    Appwrite - The Open Source Firebase alternative introduces iOS support . Appwrite is an open source backend server that helps you build native iOS applications much faster with realtime APIs for authentication, databases, files storage, cloud functions and much more!

  • Spyder

    Official repository for Spyder - The Scientific Python Development Environment

  • Rath

    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

    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

    A visualization grammar.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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