
LifeSum
MyFitnessPal
Cronometer
Lose it!
YAZIO
fatsecret
Eat This Much
CalorieTracker.io
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
LifeSumPlotly 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 should be more popular than LifeSum. 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.
A last note to my progress is that I started using Lifesum to track calorie intake and macro nutrients after my weight loss, in order to find my balance and gain a more healthy relationship with eating - I learned so much from that. I was straight up practising malnutrition and had a very unhealthy fear of carbs and fat for a long time - but I also needed to loose that weight, maybe just not THAT fast 🙈. Source: over 3 years ago
I don't have the premium version but if you're willing to shell the $, Lifesum has a beautiful interface, barcode scanning, recipes, and nutrition tracking info. You'll get macros at the free level. Source: almost 4 years ago
*** For what it's worth, I'm switching to Lifesum for tracking calories. I looked at the majority of major apps, and this seems like it fits best for me. ***. Source: almost 4 years ago
I use Lifesum. Best user experience from all the apps I’ve used before. It’s paid but I think it’s pretty cheap ($23 /year) https://lifesum.com. Source: almost 4 years ago
I’ve only tried Lifesum and Yazio. Recommend them both. Source: about 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
MyFitnessPal - Track the number of calories that you consume each day with MyFitnessPal. The app also lets you create a diet and track the exercise that you complete each day whether it's walking, running or some other type of program.
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.
Cronometer - A big trend in today’s world is health and fitness, particularly in recording nutritional information. There are several options available to achieve this result.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Lose it! - Snap a photo of your food to get nutritional facts
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.