Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Hippo CMMS
Maintenance Connection
Fracttal
CheckOS Free Work Order Software
Proteus MMX
Fiix
UpKeep
Pinnacle Enterprise
Plotly
Hippo CMMSPlotly 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.
Hippo CMMS is recommended for small to medium-sized businesses and facilities with straightforward maintenance management needs. It is especially suitable for industries like manufacturing, healthcare, education, and property management where optimizing maintenance operations can lead to increased efficiency and cost savings.
Based on our record, Plotly seems to be a lot more popular than Hippo CMMS. While we know about 34 links to Plotly, we've tracked only 1 mention of Hippo CMMS. 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
I'm not sure it'll check all your boxes, but it should check most of them. Hippo CMMS is what we use for maintenance at our centre and it works pretty well. Works on mobile, ties in with Azure which is nice. I haven't dug into their inventory capabilities, but their reps have been helpful with questions and I'm sure could give you more info. Source: over 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.
Maintenance Connection - Maintenance Connection is a computerized software solution that allows to track work orders, asset management and preventative maintenance.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Fracttal - Fracttal is a cloud-based enterprise asset management platform that caters to businesses in various industries.
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.
CheckOS Free Work Order Software - CheckOS Free Work Order Software provides service Work Order management on technical maintenance companies and outsourcing services