Babel
jQuery
React Native
Composer
OpenSSL
Raven.js
Symfony
jQuery UI
Algorithmia
MCenter
5Analytics
Spell
neptune.ai
MuleSoft Anypoint Platform
Zapier
Datadog
Babel AlgorithmiaBabel is recommended for web developers who want to write modern JavaScript but need to ensure that their code remains functional across different environments and older browsers. It is also valuable for projects where developers aspire to use the latest ECMAScript features without waiting for broad native support.
Algorithmia is recommended for data scientists, machine learning engineers, and developers who need a flexible and scalable environment to deploy, manage, and share AI and machine learning models. It is particularly suitable for teams seeking to collaborate and leverage pre-built algorithms from a community-driven marketplace. Businesses looking to integrate machine learning capabilities into their operations without extensive infrastructure management will also benefit from Algorithmia's offerings.
Based on our record, Babel seems to be a lot more popular than Algorithmia. While we know about 153 links to Babel, we've tracked only 5 mentions of Algorithmia. 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.
Can be used with promises, ES6 generators and async/await (using Babel). - Source: dev.to / 2 months ago
@vitejs/plugin-react uses Babel (or oxc when used in rolldown-vite) for Fast Refresh. - Source: dev.to / 4 months ago
I was convinced that Babel with full AST parsing was the "right" way to analyze code. I mean, that's what real tools do, right? VS Code uses it, TypeScript uses it, all the cool kids use AST parsing! - Source: dev.to / 11 months ago
There are several ways to use Webpack, Browserify or Babel. For more information on using these tools, please refer to the corresponding project's documentation. In the script, including Quanter will usually look like this:. - Source: dev.to / 11 months ago
In order to accomplish this, I picked up a tool that I've been loathe to touch since the last time I used it, roughly a decade ago โ Babel. - Source: dev.to / 11 months ago
To push a model into production, there are additional concerns which the tools in the versioning, deployment and release space aim to solve. This includes obtaining adequate infrastructure to run the model reliably and facilitating easy model release or rollback. Solutions in the MLOps space includes Kubeflow, Pachyderm and Algorithmia. - Source: dev.to / over 4 years ago
And for enterprises that want to do the same with ML you can use algorithmia.com. Source: over 4 years ago
Algorithmia advertises themselves as an MLops platform for data scientists, and they provide an easy way to host models on a scalable REST API. Source: over 4 years ago
Seems similar to https://algorithmia.com. Source: over 4 years ago
Algorithmia.com โ Host algorithms for free. Includes free monthly allowance for running algorithms. Now with CLI support. - Source: dev.to / almost 5 years ago
jQuery - The Write Less, Do More, JavaScript Library.
MCenter - Machine Learning Operationalization
React Native - A framework for building native apps with React
5Analytics - The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.
Composer - Composer is a tool for dependency management in PHP.
Spell - Deep Learning and AI accessible to everyone