Plotly
@plotly • Open source projects from plotly. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.
Portfolio concentration
49%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
30 repos
Visible snapshot
5 repositories updated in the last 90 days.
Leading language
Python
Portfolio mix
Python (14), Unknown (6), JavaScript (5)
Average size
3
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2026-07-22(35d ago)GitHub API fallback30 repositories
49%
of the visible star count comes from this organization's top three repositories.
3
stars per repository in this same snapshot.
Python
is the most common language here, with 5 repositories updated in the last 90 days.
Why this rank
This organization stands out because its public portfolio is relatively balanced across 30 repositories.
Balanced portfolio across 30 reposTop 3 share 49%
Organization pages work best when you separate portfolio breadth from flagship concentration. In Plotly's case, the visible top three repositories account for about 49% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Python (14), Unknown (6), JavaScript (5). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | plotly/choreographer | Python | 17 |
| 2 | plotly/dash-ai-chat-tutorial A basic integration tutorial showing how to link 3 ai api's Claude, Gemini & ChatGPT into a dash application. | Python | 12 |
| 3 | plotly/Figure-Friday | 10 | |
| 4 | plotly/dash-ws-demo Demo Plotly Dash apps using websocket callbacks. | Python | 6 |
| 5 | plotly/dash-ag-grid-AI-example Dash application that combines the power of AG-Grid's interactive data tables with Google Gemini AI to provide intelligent data insights and analysis. | Python | 5 |
| 6 | plotly/tutorial-nanodash A tutorial in which learners build a scale model of the core of open Dash | Python | 5 |
| 7 | plotly/plotly-cloud-templates | Python | 4 |
| 8 | plotly/plotly-geo Package containing the geo shape files used by plotly.py | Python | 4 |
| 9 | plotly/anywidget-cross-filter Cross filtering example with AnyWidget | Jupyter Notebook | 4 |
| 10 | plotly/chart-studio-dash-template A template showing how to host HTML documents of Chart Studio charts in Github Pages | Python | 2 |
| 11 | plotly/DataframesBenchmark Simple dataframe benchmark in partnership with a video release | Python | 2 |
| 12 | plotly/docs-with-mkdocs Building docs with MkDocs | JavaScript | 2 |
| 13 | plotly/dash-enterprise-changelogs Public changelogs for dash enterprise libraries | 2 | |
| 14 | plotly/plotly-navigation Self-hosted maps in a single Dash file: OSM basemap, A* routing, turn-by-turn directions, live traffic | Python | 1 |
| 15 | plotly/nitpix GitHub-Actions-native visual diffing | JavaScript | 1 |
| 16 | plotly/dash-stripe-tutorial A tutorial used to showcase the basics needed to get started into integrating a stripe payment system into a dash application. | Python | 1 |
| 17 | plotly/world-calendars Node module for converting between various calendars | JavaScript | 1 |
| 18 | plotly/dash-stylish-header An example of a Dash Hook for distribution on PyPi | Python | 1 |
| 19 | plotly/country-iso-search Resolve country names, codes, and aliases to canonical ISO 3166-1 alpha-3 codes. | TypeScript | 0 |
| 20 | plotly/molecule-3d-for-react 3D molecular visualization React component using 3Dmol.js | JavaScript | 0 |
| 21 | plotly/ingress-nginx Ingress NGINX Controller for Kubernetes | 0 | |
| 22 | plotly/pr-issue-checker Workflow which validates that a PR is associated with an issue | JavaScript | 0 |
| 23 | plotly/dash-hugging-face-spaces A Dash app template for use in Hugging Face spaces | Python | 0 |
| 24 | plotly/bitnami-containers Bitnami container images | 0 | |
| 25 | plotly/jsme-react | 0 | |
| 26 | plotly/chart-studio This package contains utilities for interfacing with Plotly's Chart Studio service (both Chart Studio cloud and Chart Studio On-Prem). | Python | 0 |
| 27 | plotly/dmikusa-apt-buildpack apt-based Buildpack | 0 | |
| 28 | plotly/range-charts-demo Examples of building range charts in Plotly.py | Jupyter Notebook | 0 |
| 29 | plotly/git-http-backend | Go | 0 |
| 30 | plotly/miniconda | Go | 0 |
Next step after the organization read
Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
How to read this organization snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.