
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
PitchMonster
Second Nature AI
Quantified.ai
PrePitch
Verbeloquence.ai
Pitchbase
Cold Call Coach
Yoodli
"PitchMonster is an AI sales role-play platform that helps revenue teams ramp reps faster, coach at scale, and prove training ROI โ without hiring more trainers or burning real pipeline on unprepared reps.
Reps practice realistic conversations with AI buyers that adapt to objections, push back, and behave like your actual ICP โ across 27+ languages and in phone, face-to-face, and screen-share modes. After every session, an AI Coach runs a Socratic debrief: it doesn't just hand over a score โ it guides each rep to their own insight, 24/7.
Managers can upload real call recordings and score them against the same playbook used in role-plays, surfacing exactly where reps won, lost, or missed. Certification flows ensure reps don't go live until they've hit a defined readiness bar.
Trusted by teams at Coupa, Adobe, Land Rover, Salesforce, Lenovo, and more. 100% enterprise renewal rate since spring 2024. 4.9 โ on G2. GDPR-compliant and the only European-based solution in the top 5. Backed by Google for Startups, Icebreaker, and Startup WiseGuys."
Plotly
PitchMonsterPlotly 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.
PitchMonster's answer:
PitchMonster is the only AI sales role-play platform with a built-in AI Coach that debriefs reps after every session - personalized, Socratic, available 24/7. Most tools stop at the practice. We go further: reps get specific feedback on what they said, what they missed, and what to fix before the next call. We're also built for global teams - 29 languages, GDPR-native, EU-hosted, with enterprise-grade reliability.
PitchMonster's answer:
Reps don't just practice - they improve. After every session, the AI Coach breaks down the conversation and tells each rep exactly what to work on next. No waiting for manager availability, no generic tips. Just specific, actionable coaching at scale. Combined with realistic AI voices, CRM integrations, and a 100% enterprise renewal rate since spring 2024, it's a platform teams actually stick with.
Based on our record, Plotly seems to be more popular. It has been mentiond 34 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.
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 / 5 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
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.
Second Nature AI - Training that is enjoyable.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Quantified.ai - The AI-Driven Flight Simulator for Sellers
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.
PrePitch - PrePitch lets door-to-door reps drill real homeowner objections against an AI until the comeback is automatic, before they ever knock. Try it free.