
OpenRouter
liteLLM
APIPark
Portkey
Eden AI
fal
OpenAI
ChatGPT
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
OpenRouter
PlotlyNo features have been listed yet.
Plotly 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.
OpenRouter might be a bit more popular than Plotly. We know about 36 links to it since March 2021 and only 34 links to 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.
It's very easy to use other providers. See https://openrouter.ai/ which also let's you filter by where the provider is hosted and their data retention policy. - Source: Hacker News / 12 days ago
If you want to try it yourself: grab OpenCode, point it at OpenRouter, select GLM 5.2, and give it a real task instead of a benchmark. The z.ai docs have the rest of the details. - Source: dev.to / 17 days ago
Hosted, minimal ops. You want to be calling models in five minutes and you are fine paying a small fee for it. OpenRouter is the marketplace default โ 400+ models, ~5.5% on credits. Vercel AI Gateway and Cloudflare AI Gateway go further and charge 0% markup, billing you at provider list price while adding routing and caching on top. - Source: dev.to / 22 days ago
I use OpenRouter as the single door to a pile of models. Its BYOK (bring-your-own-key) feature has a trap. You add your own OpenAI key for a model, flip on "Always use for this provider," and read that as never spend OpenRouter credits. It doesn't mean that. - Source: dev.to / 25 days ago
Developer gateways - MegaLLM, Portkey, LiteLLM, OpenRouter. The pitch is reliability, failover, cost, analytics. They are headless: you get an API, you bring your own interface. Great for shipping code, nothing to actually use without building a client first. - Source: dev.to / 26 days 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
liteLLM - One library to standardize all LLM APIs
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.
APIPark - โจ#1 Open Source AI Gateway & API Developer Portal
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Portkey - Build production-grade & reliable AI apps with Portkey
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.