
Auth0
OneLogin
Okta
Ping Identity
Amazon Cognito
Microsoft Azure Active Directory
LoginRadius
Atlassian Crowd
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Auth0
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, Auth0 should be more popular than Plotly. It has been mentiond 203 times since March 2021. 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.
For hosted auth, the market has a few solid options. Auth0 is the incumbent โ mature, well-documented, but the pricing can surprise you as you scale. Clerk is developer-friendly with great React components, though you're fairly locked into their ecosystem. - Source: dev.to / 3 months ago
We're excited to announce our newest challenge with Auth0, a leading authentication and authorization platform! - Source: dev.to / 10 months ago
Services like Auth0, Kinde, WorkOS (and other identity platforms) are fantastic at handling the authentication piece, verifying your users and issuing these tokens. They can also provide information about user roles or permissions to help with authorization. They give you the tokens and the tools. - Source: dev.to / 11 months ago
For backends, "Supabase or Firebase for setting up a backend with authentication and data storage.". - Source: dev.to / 11 months ago
Auth0 packages all of this into a single service. With just a few lines of code, you can integrate today's most comprehensive authentication solutions into your application. Offload the dirty work of authentication to Auth0 so you can focus your precious energy on your core business. Its extensive SDKs and documentation seamlessly integrate with any tech stack you use. - Source: dev.to / 11 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
OneLogin - On-demand SSO, directory integration, user provisioning and more
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.
Okta - Enterprise-grade identity management for all your apps, users & devices
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Ping Identity - Ping Identity provides cloud-based, single sign-on and identity management solutions with their SAML SSO.
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.