
OpenLP
ProPresenter
EasyWorship
Quelea
VideoPsalm
MediaShout
Proclaim
FreeShow
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
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.
Based on our record, Plotly seems to be a lot more popular than OpenLP. While we know about 34 links to Plotly, we've tracked only 2 mentions of OpenLP. 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.
Right now, I'm using OpenLP , which practically does all I need (play videos, photos, and audio onto a big screen), my only issue is there is about a half second of delay between pressing on a clip and it playing, as well as no ability to cross dissolve between clips. Obviously not the biggest problem, but for a better flowing show, I would prefer something that does both of these. (Preferably free as well). Source: almost 4 years ago
I haven't used it much but OpenLP might be something to check too. It's free and open source. Https://openlp.org/. Source: over 4 years 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 / 6 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 / almost 2 years 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
ProPresenter - Renewed Vision makes ProPresenter, ProVideoPlayer (PVP), ProViderServer (PVS) and ProPresenter Scoreboard - industry leading church worship and presentation software, media server, screen control software, playout servers, and scoreboard software fo…
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.
EasyWorship - EasyWorship is an expansive worship presentation software that was designed for all kinds of parishioners. This program brings solid church media with audio and video to every place of worship, from the smallest to the biggest megachurches.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Quelea - Quelea is an open source lyrics projection package aimed at churches.
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.