Observable

🚀 Ready to speed up your data apps? Join us on June 6 for a live webinar with the Observable team! We’ll show you how data loaders in Observable Framework improve app performance and developer workflows. What to expect: • Data loader essentials — what they are and why you should use them • Advanced and unexpected data loader strategies • Our favorite tips for making the most of data loaders Don't miss out, register now: https://buff.ly/3USqAN8

🥵 Building dashboards is hard work — don’t let it go to waste. Learn how to fight dashboard rot in our next webinar. Join Observable’s Data Visualization Developer, Robert Kosara, for practical strategies on how to keep your dashboards from decaying into obscurity! Learn more and sign up here:

Interactivity lets dashboard users dive deeper into the data. With Observable Inputs, you can quickly add radio buttons, check boxes, value sliders, text boxes, buttons, and more to pages. Just choose an input from the library, customize with a few lines of code, then update charts or tables to change based on the current input value. Learn more about creating custom, interactive data apps: https://buff.ly/2WLsIe4

When you build with code you can create fast, custom data apps and dashboards — without the constraints of legacy BI tools. Explore our showcase examples to see what’s possible: https://buff.ly/4czQj3X

When dashboards highlight data that is recorded at a much higher resolution than what's necessary to make informed decisions, viewers can get stuck in the weeds. In our new post, we share strategies to align dashboards with the scales of business decisions — using scheduled updates, smoothing, binning, and useful context — to help viewers get from chart to decision, faster. Learn how to build dashboards that help viewers focus on meaningful changes in their data: https://buff.ly/3zmDMT2

Unlock the power of code with Observable Framework. Use tools in our standard library out of the box to quickly build custom, interactive charts with: - D3 - Plot - deck. gl - Mosaic vgplot - Leaflet - Mapbox GL - JS - and more! Looking for something else? Framework is flexible. Import any other JavaScript library or component from npm, node_modules, remote sources, or local files. Learn more and start creating performant, bespoke dashboards today: https://buff.ly/2WLsIe4

New examples just dropped! We've added a number of technique examples to get you up and running with Observable Framework, faster. Explore and reuse code to create hi-res maps, write and access outputs from data loaders (written in Python, SQL, R, JS, Rust, Julia, etc), add custom inputs and page elements, and more: https://buff.ly/3VraE4r.

In Observable Framework you can build custom data apps with code, using the best tools for each job. Prep data snapshots in your language of choice — Python, SQL, Rust, R, or anything else. Then create fast, rich, interactive charts in JS. Learn more about how to write and troubleshoot data loaders: https://buff.ly/44MLm55

With Observable Framework you can import code into your data apps from npm, node_modules, local files, remote URLs, and libraries such as D3, Observable Plot, or DuckDB. Learn more:

Data loaders are awesome, but they can also be intimidating if you haven't used them before. In under 20 minutes, learn the data loader essentials you need to start writing your own: https://buff.ly/4ck89YS