
Supabase
Firebase
AppWrite
Next.js
Vercel
PocketBase.io
Hasura
Railway
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Supabase
PlotlyPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
Based on our record, Supabase seems to be a lot more popular than Plotly. While we know about 554 links to Supabase, we've tracked only 34 mentions of Plotly. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Opus, zero nudges. Realised on its own that an abandoned signup never fires identify, triangulated the anonymous session from time, platform and registration events, decoded the PostHog replay blobs, confirmed the duplicate account in Supabase, proved the reset email never sent, and pulled the root cause out of an unmasked DOM field. One prompt in; root cause out. - Source: dev.to / 3 days ago
Supabase is an open-source backend platform built around managed PostgreSQL. You get a database, auto-generated REST APIs (via PostgREST), Auth, file Storage, Realtime subscriptions, and Edge Functions - with a dashboard and SQL editor on top. - Source: dev.to / about 1 month ago
If youโre starting fresh, go to Supabase and create a new project. Once your project is ready, copy the project URL and publishable (anon) key from the project settings. - Source: dev.to / about 2 months ago
So I had to discover that and fix that, and start leaning on our database (Supabase is what Lovable uses by default). - Source: dev.to / about 2 months ago
Verdict: start with Supabase on day one. Free tier carries you through launch. Upgrade to Pro when you legitimately outgrow it. - Source: dev.to / about 2 months ago
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
AppWrite - Appwrite provides web and mobile developers with a set of easy-to-use and integrate REST APIs to manage their core backend needs.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Next.js - A small framework for server-rendered universal JavaScript apps
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.