Software Alternatives, Accelerators & Startups

Scikit-learn VS Asterisk

Compare Scikit-learn VS Asterisk and see what are their differences

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Asterisk logo Asterisk

An open source telephony switching and private branch exchange service for Linux.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Asterisk Landing page
    Landing page //
    2021-08-01

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Asterisk videos

Asterisk Knee Braces Review

More videos:

  • Review - The Asterisk War Anime Review
  • Review - The Asterisk War Sucks [Part 1]

Category Popularity

0-100% (relative to Scikit-learn and Asterisk)
Data Science And Machine Learning
Communication
0 0%
100% 100
Data Science Tools
100 100%
0% 0
VoIP
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Scikit-learn and Asterisk

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Asterisk Reviews

We have no reviews of Asterisk yet.
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Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than Asterisk. It has been mentiond 28 times since March 2021. 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.

Scikit-learn mentions (28)

  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 months ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / about 1 year ago
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
  • PSA: You don't need fancy stuff to do good work.
    Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
  • Help on using R for Machine Learning?
    Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: over 1 year ago
View more

Asterisk mentions (4)

  • Trouble configuring asterix for home pbx with IP phone
    Retrieve the official files from asterisk.org, extract and change directories. Source: 12 months ago
  • SIP server installation
    Perhaps asterisk / FreePBSX or similar would suite your goals? asterisk.org. Bit of a learning curve, but there is lots of documentation and examples too. Source: about 2 years ago
  • Looking for a Simple Texting Service
    Asterisk? Foss telephoniserver, been around for a long time so mature and solid https://asterisk.org. Source: over 2 years ago
  • Phone Scammer group's open directory
    These are all just sound files, and from what I can recall I'd bet at least 97% are the standard Asterisk (open source PBX software) set (probably core perhaps plus some extras en + es for some). -- It's certainly Alison's voice, and and all the same jokes are there (e.g. zombies, lotso-monkeys). Source: about 3 years ago

What are some alternatives?

When comparing Scikit-learn and Asterisk, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

FreeSWITCH - FreeSWITCH is an open-source media application designed to support popular protools such as SIP and WebRTC and provides a platform to develop voice and video applications.

OpenCV - OpenCV is the world's biggest computer vision library

freepbx - FreePBX is a web-based open source GUI that controls and manages Asterisk (PBX).

NumPy - NumPy is the fundamental package for scientific computing with Python

FusionPBX - FusionPBX is an open source FreeSWITCH GUI.