Lose it!
MyFitnessPal
Cronometer
fatsecret
LifeSum
YAZIO
Noom
Eat This Much
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Lose it! PlotlyLose It! is recommended for individuals who prefer a structured approach to weight loss through calorie counting and for those who enjoy using technology to track their fitness and dietary habits. It's especially suitable for those who appreciate detailed data on their eating patterns and want to integrate app usage with other digital health tools.
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.
Plotly might be a bit more popular than Lose it!. We know about 34 links to it since March 2021 and only 30 links to Lose it!. 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.
I have tried crash diets in the past and have never felt this good or this energetic. I'm going to keep going like this until I'm at my goal weight. I gained 60 lbs from taking this antipsych med called zyprexa (it's known for extreme weight gain fast but I was like I'd rather be mentally ok than fit and thin right now so I'm basically trying to reverse it. I use loseit.com to track my cals and exercise works... Source: over 3 years ago
Follow that guide and that timing, and you'll be able to start putting some data around your diet. Start with your regular, normal food. My favorite tool for this is now-better LoseIt! Over MyFitnessPal which has been on the decline for years. Source: over 3 years ago
You can use a TDEE calculator to work out approximately how many calories your body is using per day. You need to eat in a deficit of around 15-20% of your TDEE to see decent weight loss. You can use an app like Lose It! To track your food intake and see how many calories you're eating. People are notoriously bad at underestimating the calories that they consume so I really recommend you do some calorie tracking.... Source: over 3 years ago
At 1200 kCal/day you'll certainly lose weight, but it probably won't be safe... My older-but-similarly-sized spouse gets about 1600 (to lose weight) if she sits on the couch, so being active will certainly bump that up. We use an app called lose it to track both food and exercise and it seems to do a decent enough job for me and her. So your 1200 may be fine if you're a couch potato, but it sounds like you need... Source: over 3 years ago
I use LoseIt. I've used it since I started on phentermine back in 2007, so it has a lot of historical data for me. It has a good barcode scanner and remembers your most frequently added items so once you put in a meal, you can just click into that section when adding foods and it will have the full list of ingredients from meals there. Source: over 3 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 / 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
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 todayโs 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...
fatsecret - Individualized and sustainable weight loss.
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.