
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Hiya
Truecaller
Spark Hire
EasyHire.me
Jobma
CallApp
TalentCube
HR Avatar
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.
Hiya is recommended for individuals who frequently receive spam or unknown calls and want an effective tool to identify and block these calls. It is also beneficial for those who prioritize ease of use and want a straightforward app to enhance their mobile security.
Based on our record, Plotly seems to be a lot more popular than Hiya. While we know about 34 links to Plotly, we've tracked only 3 mentions of Hiya. 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 / 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
Hiya.com - it comes default with most Samsung phones. Otherwise, you have to download it. It compares the incoming call and SMS telephone numbers against a database of known scammers, spammers and fraudsters. You can set it to auto block or let the call go through but with a caller ID warning that it's a suspected bad call. Source: about 4 years ago
It turns out it's via a service called Hiya. Haven't looked fully into how you go about adding your name and phone number to that, but obviously it would only work on compatible phones. Source: almost 5 years ago
But you're right - most of the time it's a local number (even though it really isn't)! You can get the hiya.com app, which is really helpful. Source: over 5 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.
Truecaller - Find a person by a name or phone number worldwide for free using Truecaller.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Spark Hire - SEEK Video Screen provides you with a quick and easy way to review a candidate’s presentation, motivation & cultural fit in order to simplify the early stages of your recruitment process.
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.
EasyHire.me - EasyHire.me is a cloud-based video interview platform that enables the talent management team to conduct consistent, efficient and professional job interviews.