Twitter-API-v2-sample-code VS Porcupine  

Compare Twitter-API-v2-sample-code vs Porcupine   and see what are their differences.

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Twitter-API-v2-sample-code Porcupine  
3 10
708 2,566
15.4% 1.7%
6.8 9.2
10 days ago 9 days ago
JavaScript JavaScript
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of Twitter-API-v2-sample-code. We have used some of these posts to build our list of alternatives and similar projects.
  • Coding for automatic posts on social media? TikTok, Instagram, etc.
    APIs from such big companies are often available for more than just one language, but you'll have to look at what each specific company offers. Usually there is at least one Java or Python API. Twitter f.e. provides support for Java, JavaScript (Node.js), Python and Ruby according to their GitHub readme.
  • Getting started with R and v2 of the Twitter API | 2021-03-25
    The new Twitter API is built on a modern, more sustainable foundation and has an improved developer experience. The first endpoints are now available with Early Access and the Academic Research product track to enable you to listen to and analyze the public conversation. We’ll soon be releasing more endpoints, features, and access levels to enable even more developer use cases.
  • Understanding the new Tweet payload in the Twitter API v2 | 2020-09-17
    A list of code samples for getting started with the new Twitter API (that return the new Tweet payload) can be found on Github.


Posts with mentions or reviews of Porcupine  . We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-05.
  • Alternative to AlwaysOnHotwordDetector API in Android since it has been deprecated?
  • Does an app or device like this exist? [D]
    In case I was totally wrong about your intent. And since this is an interesting topic.
  • Is it possible to self host a voice assistant?
    Consider looking at , you can get pre-compiled versions of it and there are versions that will run on a Raspberry Pi, and yes... it's all local, but your mileage may vary. And there is also they run stuff locally on the machine, but again each use a constrained local language model/syntax. The other real question, as correctly states is the use of the wake-word... most systems process all sound, ie. are listening all the time, a number of the Alexa or Google Assistants or similar approaches embed a smaller model or use hardware/neural networks to recognize the wake-word before passing on sound to further syntax processing, so think of most of these devices as always listening and processing and you'd be right, so factor that into power usage etc.
  • Getting Rid of Dust / 1.0.0-beta.4 | 2021-05-01
    I found some alternatives such as Porcupine from Picovoice that works pretty well. But at the moment I'm writing this, their tooling does not allow to have short hotword like Leon. Which is in fact a best practice, but it means we'd need to comply such limitations.
  • No Way, Google: Build Your Own Wake Word Service on Android | 2021-04-16
    Valid concern! Here's what the profiling showed on my Pixel 3:
  • No Way, Google: Build Your Own Wake Word Service on Android (Source code in comments)
  • No Way, Google: Build Your Own Wake Word Service on Android (source code in comments)
    Check out the source code here
  • Is this library essentially the same as WebRTC? | 2021-02-23
  • Whats The Best Wake Wordhotword Detector
    Check out Porcupine
  • Adding offline voice controls to a cross-platform C# GUI (Tutorial + source code in the comments) | 2021-01-06
    For those who want to dive deeper, here's the tutorial and source code!

What are some alternatives?

When comparing Twitter-API-v2-sample-code and Porcupine   you can also consider the following projects:

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

snowboy - Future versions with model training module will be maintained through a forked version here:

mycroft-precise - A lightweight, simple-to-use, RNN wake word listener

Caffe - Caffe: a fast open framework for deep learning.

mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!


neptune-client - Neptune client library - integrate your Python scripts with Neptune

Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as aesara:

Zentone - :sound: [Android Library] Easily generate pure audio tone of any frequency in android

CoreML-Models - Largest list of models for Core ML (for iOS 11+)

rides-ios-sdk - Uber Rides iOS SDK (beta)