Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
ARES PRISM
Oracle Primavera
EcoSys
Sciforma
Dude Solutions Capital Forecasting
4castplus
Safran Project
Sitetracker
Plotly
ARES PRISMPlotly 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.
ARES PRISM is recommended for project managers, planners, and executives in industries such as engineering, construction, oil and gas, and infrastructure who are looking for a robust solution to manage project controls, budgets, and performance metrics. It is especially suitable for organizations managing large-scale and complex projects requiring detailed oversight and accurate tracking.
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.
Oracle Primavera - Oracle Primavera software includes project management, product management, collaboration and control capabilities.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
EcoSys - EcoSys empowers informed portfolio, project, and contract decisions to maximize returns and margins. In a single integrated solution, EcoSys offers visibility and accountability into the full project lifecycle.
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.
Sciforma - Enterprise project management software that combines project and portfolio management: portfolio analysis, scheduling & resource management