Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
Descript
Otter.ai
HappyScribe
Sonix.ai
Fireflies.ai
Trint
Rev.com
Notta.ai
Plotly
DescriptPlotly 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.
Coming from a video editing background, Descript might take some getting used to. But once you figure it out, it speeds up your editing (especially interviews/long-form voiceover). The captions are very nice to work with, but a bit limited in terms of styles. There are a lot more caption styles, transitions, and effects in CapCut, but Descript excels in simplicity and speed.
The saved layouts (you can make your own) are very good if you want to create a bunch of videos on different topics with the same design scheme or branding.
Based on our record, Plotly should be more popular than Descript. 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 / 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
For transcripts, I use Descript. Descript is able to identify all four of our panel members, and I usually spend an hour or so cleaning it up and setting the transcript into a video for YouTube. Source: about 3 years ago
I don't understand exactly what you are trying to do, but I'm pretty sure Descript can do what you want. Source: over 3 years ago
I tried to use descript.com but found out that they didn't have a download for Linux and that their online version doesn't allow you to edit your transcript. Source: over 3 years ago
Edit your audio with software like Descript or Audacity. Source: about 4 years ago
Looks like an 'audiogram' from descript.com - you can make them on their paid service. Source: about 4 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.
Otter.ai - Your AI meeting assistant that takes live notes and generates summaries and other insights using Meeting GenAI.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
HappyScribe - Happy Scribe automatically transcribes your interviews
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.
Sonix.ai - Automatically convert audio & video to text in minutes