AWS Glue DataBrew vs Modernizr
Overview
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CLI (Node.js)
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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 new visual data preparation tool that makes it easy for data analysts and data scientists to clean and normalize data to prepare it for analytics and machine learning. You can choose from over 250 pre-built transformations to automate data preparation tasks, all without the need to write any code. You can automate filtering anomalies, converting data to standard formats, and correcting invalid values, and other tasks. After your data is ready, you can immediately use it for analytics and machine learning projects. You only pay for what you use - no upfront commitment. |
Easy to deliver tiered experiences;
Make use of the latest and greatest features in browsers;
Without leaving less fortunate users high and dry. | Evaluate the quality of your data by profiling it to understand data patterns and detect anomalies, connect data directly from your data lake, data warehouses, and databases;
Choose from over 250 built-in transformations to visualize, clean, and normalize your data with an interactive, point-and-click visual interface;
Visually map the lineage of your data to understand the various data sources and transformation steps that the data has been through;
Automate data cleaning and normalization tasks by applying saved transformations directly to new data as it comes into your source system |
Statistics | |
GitHub Stars 25.7K | GitHub Stars - |
GitHub Forks 3.0K | GitHub Forks - |
Stacks 28.1K | Stacks 14 |
Followers 2.1K | Followers 13 |
Votes 0 | Votes 0 |
Integrations | |
| No integrations available | |
What are some alternatives to Modernizr, AWS Glue DataBrew?
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
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Deno
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Chart.js
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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.
