gitwtfhub

wtf is onboarding-starter-app?

plotly/onboarding-starter-app — explained in plain English

Analysis updated 2026-08-14 · repo last pushed 2025-01-27

1Jupyter NotebookAudience · dataComplexity · 2/5StaleSetup · easy

TL;DR

A beginner-friendly starter kit that teaches you to build interactive charts and web dashboards using Python, Plotly, and Dash, no separate web development skills required.

Mindmap

mindmap
  root((repo))
    What it does
      Interactive charts
      Web dashboards
      Sample data app
    Tech stack
      Python
      Jupyter Notebook
      Plotly
      Dash
    Use cases
      Present findings
      Share dashboards
      Learn web apps
    Audience
      Data analysts
      Researchers
      Python beginners

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

Why would anyone build with this?

REASON 1

Build an interactive line chart dashboard from sample data using Dash.

REASON 2

Turn notebook-based data analysis into a shareable web app colleagues can click through.

REASON 3

Learn how to create various chart types using Plotly by following a guided notebook.

REASON 4

Deploy a finished dashboard to Dash Enterprise for internal sharing.

What's in the stack?

PythonJupyter NotebookPlotlyDash

How it stacks up

plotly/onboarding-starter-appandy1li/udacity-reinforcementanil-matcha/langchain-course
Stars111
LanguageJupyter NotebookJupyter NotebookJupyter Notebook
Last pushed2025-01-272021-05-132023-05-20
MaintenanceStaleDormantDormant
Setup difficultyeasymoderatemoderate
Complexity2/53/51/5
Audiencedataresearcherdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you spin it up?

Difficulty · easy Time to first run · 5min

Just run the Jupyter Notebook or execute the Dash script, both rely on standard Python data science packages.

The explanation does not specify a license for this project.

Wtf does this do

The onboarding-starter-app from Plotly is a beginner-friendly starter kit for learning how to create interactive charts and web applications using Python. Instead of dealing with complex web development languages, you can use familiar data analysis tools to build visual dashboards that display your data. The project includes two main pieces. First, there is a Jupyter Notebook, a popular interactive document format for data science, that walks you through creating various charts using the Plotly graphing library. Second, there is a script that runs a simple web application using Dash, Plotly's framework for building interactive web apps. The app pulls in sample data and displays a basic line chart. Both pieces are heavily commented so you can understand what each part of the code does. This starter kit is designed for data analysts, researchers, or anyone comfortable with Python who wants to turn raw data into shareable, interactive web pages. For example, if you normally analyze data in spreadsheets or notebooks but want to present your findings to colleagues through a live web dashboard they can click around, this project shows you exactly how that workflow looks. A notable feature of the project is how it highlights the connection between data analysis and web deployment. The same Python code you write to visualize data in a notebook can be used to power an interactive web app, meaning you do not need to learn separate tools for analysis and presentation. The project also includes instructions for deploying your app to Dash Enterprise, Plotly's platform for hosting and sharing dashboards internally.

Yoink these prompts

Prompt 1
I want to build an interactive web dashboard using Python, Plotly, and Dash. Walk me through creating a simple app that pulls in sample data and displays a line chart, based on the onboarding-starter-app approach.
Prompt 2
Help me understand how to take a Plotly chart I made in a Jupyter Notebook and turn it into a running Dash web app that others can interact with in a browser.
Prompt 3
Show me how to deploy a Dash app to Dash Enterprise. What are the steps and what do I need to prepare?
Prompt 4
Write heavily commented Python code for a Dash app that loads sample data and renders an interactive line chart so a beginner can follow along.

Frequently asked questions

wtf is onboarding-starter-app?

A beginner-friendly starter kit that teaches you to build interactive charts and web dashboards using Python, Plotly, and Dash, no separate web development skills required.

What language is onboarding-starter-app written in?

Mainly Jupyter Notebook. The stack also includes Python, Jupyter Notebook, Plotly.

Is onboarding-starter-app actively maintained?

Stale — no commits in 1-2 years (last push 2025-01-27).

What license does onboarding-starter-app use?

The explanation does not specify a license for this project.

How hard is onboarding-starter-app to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is onboarding-starter-app for?

Mainly data.

View the repo → Decode another repo

This repo across BitVibe Labs

Don't trust strangers blindly. Verify against the repo.