AWS Data Wrangler vs Modernizr
Overview
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CLI (Node.js)
Manual
Detailed Comparison
It’s a collection of superfast tests or detects as we like to call them which run as your web page loads, then you can use the results to tailor the experience to the user. It tells you what HTML, CSS and JavaScript features the user’s browser has to offer. | It is a utility belt to handle data on AWS. It aims to fill a gap between AWS Analytics Services (Glue, Athena, EMR, Redshift) and the most popular Python data libraries (Pandas, Apache Spark). |
Easy to deliver tiered experiences;
Make use of the latest and greatest features in browsers;
Without leaving less fortunate users high and dry. | Writes in Parquet and CSV file formats; Utility belt to handle data on AWS |
Statistics | |
GitHub Stars 25.7K | GitHub Stars - |
GitHub Forks 3.0K | GitHub Forks - |
Stacks 28.1K | Stacks 7 |
Followers 2.1K | Followers 30 |
Votes 0 | Votes 0 |
Integrations | |
| No integrations available | |
What are some alternatives to Modernizr, AWS Data Wrangler?
Babel
Babel will turn your ES6+ code into ES5 friendly code, so you can start using it right now without waiting for browser support.
Underscore
A JavaScript library that provides a whole mess of useful functional programming helpers without extending any built-in objects.
Deno
It is a secure runtime for JavaScript and TypeScript built with V8, Rust, and Tokio.
Chart.js
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
Immutable.js
Immutable provides Persistent Immutable List, Stack, Map, OrderedMap, Set, OrderedSet and Record. They are highly efficient on modern JavaScript VMs by using structural sharing via hash maps tries and vector tries as popularized by Clojure and Scala, minimizing the need to copy or cache data.
NumPy
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
PyXLL
Integrate Python into Microsoft Excel. Use Excel as your user-facing front-end with calculations, business logic and data access powered by Python. Works with all 3rd party and open source Python packages. No need to write any VBA!
Lodash
A JavaScript utility library delivering consistency, modularity, performance, & extras. It provides utility functions for common programming tasks using the functional programming paradigm.
Ramda
It emphasizes a purer functional style. Immutability and side-effect free functions are at the heart of its design philosophy. This can help you get the job done with simple, elegant code.
