Plotly

Fresh look for Plotly Cloud today ✨ #PlotlyCloud has a card view now -- take it for a spin 🃏. BTW, sneak a peak here at the MCP product marketing 🧠 app in the bottom-right corner which my colleague Matthew Brown put together a fabulous writeup on.

Fascinating staff research by Robert Claus and Matthew Brown measuring the cost savings in time & tokens by building on Dash vs Full-Stack for data apps, internal tools, and reports. Using the right framework saves you far more $$ than any model or harness. Read the full blog here: https://lnkd.in/gi4waFKK Watch the discussion: https://lnkd.in/gUDYX3S2

Our discussion about Dash vs Full Stack has spurred a lot of conversation, so we're launching a webinar on the topic! It's live at 11AM EST this morning. I will be presenting some really interesting benchmark work we're doing. Register here for a quick invite: https://lnkd.in/gMzjE2Ht

Preach! Matthew Brown articulates why building on Dash is such a good solution in the era of AI: "In the era of AI, choosing the right framework is about risk exposure: what's sitting in your dependency tree, who can actually maintain the app, whether you have a vendor who will pick up the phone when you need guidance (that's us!). Building on Dash lowers this risk for our customers, while enabling rapid development via coding agents. Plotly is unique because we handle the tech stack from library to platform." Join the discussion tomorrow: https://lnkd.in/gKngmkFi

Excited to share something I've been working on for a while! 🎬 New in the Dash docs: video walkthroughs, embedded at the top of the page. Different people learn in different ways, and we want every one of those journeys to have a path through the Dash docs. What's in each one: • The code example on that page, run live and with voiceovers.   • The output, walked through step by step.  • Why each parameter is set the way it is.  • The gotchas you don't catch from reading just the code. The one I'm proudest of is the first Dash Layouts walkthrough (links in comments). It's the video someone hits on their very first day with Dash, and getting that one right mattered more to me than any of the others. Where they live: on the doc page itself, above the written content. Also these videos are in a YouTube playlist if you'd rather watch them in a row.

Long live great libraries. Software libraries gives you more intelligence / $ than any model upgrade will. Matthew Brown and Robert Claus break down why teams build on Dash in an era when AI can seemingly build anything in any language. It comes down to maintenance, risk, and handling all the tricky the edge cases. Matt & Robert will be discussing LIVE on Thursday: https://lnkd.in/g5XgJcJ2 Read more: https://lnkd.in/gyaCPTPF

We love Salesforce for tracking data. We do not love it for making that data easy to explore. Most Sales Ops teams are stuck exporting CRM data into messy spreadsheets or building rigid, multi-page dashboards. Our Sr. Sales Ops Admin, Megan Dyer, took a different approach. As a non-technical user, she didn't want to wrestle with code repositories, IDEs, or hosting setups. Instead, she used Plotly Studio as her end-to-end solution to: 🔌 Connect directly to her live Salesforce data source 📊 Build an app that can pivot instantly from high-level pipeline health to single-opportunity details ☁️ Deploy & Share securely through Plotly Cloud Now, Megan's data is completely secure, entirely real-time, and she has permanently removed her 4-hour Friday manual reporting process. Take a look at Megan's live dashboard, replicated using mock/dummy data: https://bit.ly/4wTuUNw Want to build something similar? Get started with Plotly Studio: https://bit.ly/3REysE8

Ever wonder what's actually inside Google Maps? Turns out you can build a surprisingly capable version yourself, in a single Python file. We just published a breakdown of Dash Navigation, a working maps + turn-by-turn routing app built entirely on open data: - OpenStreetMap for street geometry, speed limits, and road names - Custom-rendered map tiles (Leaflet) instead of a commercial tile server - Auto-generated turn-by-turn directions from raw intersection geometry The whole thing runs with one command, downloads its own map data on first launch, and deploys as easily as any other Dash app, using Plotly Cloud. The code is open source, and the app is running live if you want to point it at your own city. Read the full article from Plotly's Director of Engineering Robert Claus: https://bit.ly/4g1fT6u GitHub: https://bit.ly/3TuubDY App: https://bit.ly/45BpM4I #Plotly #Dash #OpenStreetMap #Python

First impressions matter, and your app's URL is part of that. A clean, branded URL makes your Dash app easier to share, recognize, and trust. Today we're introducing: • Free vanity URLs for all Plotly Cloud users • Custom domains for Pro teams Professional apps deserve professional URLs. 💯 Learn more: https://lnkd.in/eWPweunB