
OBS Studio
Camtasia
ShareX
BandiCam
XSplit
Snagit
Screencast-O-Matic
ScreenRec
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
OBS Studio
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, OBS Studio seems to be a lot more popular than Plotly. While we know about 1070 links to OBS Studio, 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.
I used https://www.shotcut.org/ to edit a few videos, it has many effects. For live streaming https://obsproject.com/ but I don't remember too much. - Source: Hacker News / 8 months ago
FWIW, OBS is ~150 MB, not an electron app and actually open source. https://obsproject.com/. - Source: Hacker News / about 1 year ago
Https://magicmusicvisuals.com/ combined with https://obsproject.com/. And possibly OBS all by itself. - Source: Hacker News / about 1 year ago
./red5.sh # for Linux or Mac Red5.bat # for Windows You should see console output indicating the server has started successfully, typically on `localhost:5080`. 2. To test if your RTMP server is live, open your web browser and go to `http://localhost:5080/`. You should see the Red5 landing page. ### Step 4: Configure RTMP Applications Red5 supports RTMP out of the box. You can now create and configure RTMP... - Source: dev.to / over 1 year ago
You might look into OBS and/or VoiceMeeter to see how streamers selectively route audio while livestreaming/recording video/audio streams. https://obsproject.com/ https://voicemeeter.com/. - Source: Hacker News / over 1 year 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
Camtasia - Unleash the worldโs most powerful screen recorder and video editor with everything you need to tell your story โ powered by AI.
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.
ShareX - ShareX is a free and open source program that lets you capture or record any area of your screen...
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
BandiCam - Bandicam is a screen recording platform built to accommodate the needs of a wide variety of different users.
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.