datarobot
RapidMiner
Statista
Tibco Data Science
Montecarlito
H2O.ai
IBM ILOG CPLEX Optimization Studio
Jupyter
Hoverify
CSS Scan
SuperDev Pro
CSS Scan Pro
Shuffle for Tailwind CSS
EazyCSS
Devsync
CSS Grab n' Go Editor
Tools to make your web dev life a bit easy.
โญ Inspector
1) Inspect CSS and HTML just by hovering over the element.
2) Live edit CSS and HTML.
3) Export code to Codepen.
4) Inspect media queries and animations.
5) Edit the content of any HTML element.
6) Traverse DOM elements with arrow keys.
7) Know fonts per tag.
8) Finds font on Google Fonts.
9) Extract all the colors used on the page.
10) Toggle visibility of any element or remove an element from the page and persist changes.
11) Easily search elements by tag, class, or id.
โญ Color Eyedropper 1) Pick colors from anywhere on the page, even images and IFrames. 2) Get hex and RGB values. 3) Save colors.
โญ Assets 1) Extract images, SVGs, and videos from the page. 2) Download all the assets at once in ZIP.
โญ Responsive 1) Any click, scroll, or navigation you perform in one device will be replicated to all devices in real-time. 2) Add new custom device profiles as you like and arrange devices to fit your style. 3) Hot-Reloading Support.
โญ Debug 1) Clear cache, cookies, and local storage of specific origin or whole browser. 2) Get meta tags from the page and copy them with one click. 3) Check the whole page for spelling mistakes (Only supports English).
โญ Screenshots 1) Take a screenshot of the whole page or just a visible area. 2) Screenshot the visible area of every tab with just one click. 3) Save the screenshot in PDF, JPG, or PNG.
datarobot
HoverifyBased on our record, datarobot seems to be more popular. It has been mentiond 1 time 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.
To predict what we would have expected, we used the models and approach we developed to predict the knockout stage of the Champions League using data provided by Data Sports Group. We used DataRobotโs models to predict which team would win each match to simulate the final nine matchdays 10,000 times. For each team, we calculated the average number of wins, draws and losses over those 10,000 seasons to build an... Source: over 3 years ago
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