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  1. Stackups
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  3. Templating Languages & Extensions
  4. Templating Languages And Extensions
  5. Flow (JS) vs TensorFlow.js

Flow (JS) vs TensorFlow.js

OverviewDecisionsComparisonAlternatives

Overview

Flow (JS)
Flow (JS)
Stacks145
Followers75
Votes0
GitHub Stars22.2K
Forks1.9K
TensorFlow.js
TensorFlow.js
Stacks184
Followers378
Votes18
GitHub Stars19.0K
Forks2.0K

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Advice on Flow (JS), TensorFlow.js

StackShare
StackShare

Aug 13, 2019

Needs adviceonTypeScriptTypeScriptCoffeeScriptCoffeeScriptJavaScriptJavaScript

From a StackShare community member: "We are looking to rewrite our outdated front-end with TypeScript. Right now we have a mix of CoffeeScript and vanilla JavaScript. I have read that adopting TypeScript can help enforce better code quality, and best practices. I also heard good things about Flow (JS). Which one would you recommend and why?"

405k views405k
Comments
Oleksandr
Oleksandr

Senior Software Engineer at joyn

Oct 21, 2019

Decided

Initially making a decision to use Flow vs Typescript we decided to go with flow as we wanted our code to run in a way we wrote it, because when using Flow types are simply removed from the code without modifying the code itself. Sadly, the type system of Flow was in some cases very hard to understand and declare the types correctly, especially in cases when the structure is very dynamic (e.g. object keys and values are created dynamically). Another reason was bad integration with IDE and frequent crashes which made DX very poor. Therefore, we made another evaluation of Typescript and decided to move towards it. As our code base was pretty big when we decided to migrate to TS we couldn't just stop and re-write everything, that's why we started writing new modules in Typescript as well as transforming old components. To make that possible we had to configure Webpack loader to support simultaneous bundling of Flow&JS and Typescript. After around 2 months of the transformation we have around 40% of code being written in Typescript and we are more than happy with integration TS has with IDE, as well as ease of declaring types for dynamic modules and functions.

149k views149k
Comments
Vladyslav
Vladyslav

Sr. Directory of Technology at Shelf

Oct 25, 2019

Decided

As our codebase grew in size, we were looking for ways to improve code quality. We chose TypeScript over Flow due to its rapid industry adoption and overall tools support.

We noticed how different open-source projects were migrating from Flow to TypeScript. Most notably, it was Jest, even though Jest and Flow were both developed by Facebook. See this HN thread if you want to dive into an interesting discussion around this move.

Additionally, at the beginning of 2019, both Babel and ESLint enabled seamless TypeScript support, which allowed easy migration path in a backward-compatible way.

155k views155k
Comments

Detailed Comparison

Flow (JS)
Flow (JS)
TensorFlow.js
TensorFlow.js

Flow is a static type checker for Javascript created by Facebook.

Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API

Type Inference; Easy Integration; Realtime Feedback
-
Statistics
GitHub Stars
22.2K
GitHub Stars
19.0K
GitHub Forks
1.9K
GitHub Forks
2.0K
Stacks
145
Stacks
184
Followers
75
Followers
378
Votes
0
Votes
18
Pros & Cons
No community feedback yet
Pros
  • 6
    Open Source
  • 5
    NodeJS Powered
  • 2
    Deploy python ML model directly into javascript
  • 1
    Cost - no server needed for inference
  • 1
    Easy to share and use - get more eyes on your research
Integrations
No integrations available
JavaScript
JavaScript
TensorFlow
TensorFlow

What are some alternatives to Flow (JS), TensorFlow.js?

CoffeeScript

CoffeeScript

It adds syntactic sugar inspired by Ruby, Python and Haskell in an effort to enhance JavaScript's brevity and readability. Specific additional features include list comprehension and de-structuring assignment.

TypeScript

TypeScript

TypeScript is a language for application-scale JavaScript development. It's a typed superset of JavaScript that compiles to plain JavaScript.

Pug

Pug

This project was formerly known as "Jade." Pug is a high performance template engine heavily influenced by Haml and implemented with JavaScript for Node.js and browsers.

Handlebars.js

Handlebars.js

Handlebars.js is an extension to the Mustache templating language created by Chris Wanstrath. Handlebars.js and Mustache are both logicless templating languages that keep the view and the code separated like we all know they should be.

TensorFlow

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

Mustache

Mustache

Mustache is a logic-less template syntax. It can be used for HTML, config files, source code - anything. It works by expanding tags in a template using values provided in a hash or object. We call it "logic-less" because there are no if statements, else clauses, or for loops. Instead there are only tags. Some tags are replaced with a value, some nothing, and others a series of values.

Slim Lang

Slim Lang

Slim is a template language whose goal is to reduce the view syntax to the essential parts without becoming cryptic. It started as an exercise to see how much could be removed from a standard html template (<, >, closing tags, etc...). As more people took an interest in Slim, the functionality grew and so did the flexibility of the syntax.

scikit-learn

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

PyTorch

PyTorch

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

Keras

Keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/

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