Pinterest for data analysts

DataDrops

Maps, charts and dashboards made with Python, R, Tableau, QGIS and any other tool. Save what you find, build a portfolio and follow the authors who inspire you.

Works by our authors

A hand-picked selection of visualizations worth coming back to

Why DataDrops

Bookmarks get lost and social posts sink in the feed. Here visualizations stay in one place and are easy to find again.

Only visualizations

No memes or random pictures: charts, maps, dashboards and infographics

Any tool

Python, R, D3, Tableau, Power BI, QGIS, Figma. Attach the code so others can reuse the technique.

Saves and follows

Save works to your favorites and follow authors to see their new works in your feed

Author portfolio

All your works on one profile page, easy to share with colleagues or employers

How it works

1

Explore

Search by title and tags, sort by date and likes, open works in full size

2

Save

Like works, save them to favorites and follow authors so nothing gets lost

3

Publish

Upload an image, add a description, tags, data source and code. You can publish a whole series.

Challenges

30 days, 30 themes, one visualization a day. Entries are collected on the challenge page by day and year.

Who it is for

Data analysts and data scientists

Build a portfolio from work and side projects and get feedback from peers

Visualization designers

Show your work to an audience that knows the difference between pretty and clear

Data journalists

Find ways to present data in your stories and share charts from your articles

Students and beginners

Learn from examples: open works with code and see how a chart was made

How the project started

Andrey Kolomatskiy

Andrey Kolomatskiy

creator of DataDrops

I work with data and love visualization: charts, maps, infographics. For years interesting works piled up in my bookmarks, reposts and random links, and finding the right one later was almost impossible.

My own works had no home either: GitHub is not made for images, and social networks bury posts within a day. I wanted a service built specifically for data visualization, something like Pinterest for analysts.

I started building DataDrops on evenings and weekends in April 2025 and opened it to everyone on September 1. The project is completely free. And if you have ideas or suggestions, I will be glad to hear them, write to me!

Frequently asked questions

Is it free?

Yes. Browsing, saving, publishing and taking part in challenges are free.

What can I upload?

PNG, JPG, GIF and WebP images up to 10 MB, plus a code file (.py, .r, .js, .ipynb), a data source and a description

Can I publish someone else's work?

Yes, if you credit the author and link to the source. Mark your own works as “My visualization” so they get the “Original” badge.

How do I take part in a challenge?

While a challenge is running, click the add button on its page, choose the day and publish your work

Show your best visualization

Publish your first work in a couple of minutes or start with what others have already made