Software Alternatives, Accelerators & Startups

Scikit-learn VS Trac

Compare Scikit-learn VS Trac 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.

Trac logo Trac

Trac is a project management and bug/issue tracking system. Provides an interface to Subversion and an integrated wiki.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Trac Landing page
    Landing page //
    2021-10-09

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Trac videos

2008 Ford Explorer SportTrac Review - Kelley Blue Book

More videos:

  • Review - A Review of the 2005 Ford Explorer Sport Trac, Why I Like It, and Why It Will Be a Collectible
  • Review - FORD SPORT TRAC REVIEW (WELCOME TO THE SPORT TRAC FAMILY) PROS AND CONS, COMMON ISSUES TO LOOK FOR

Category Popularity

0-100% (relative to Scikit-learn and Trac)
Data Science And Machine Learning
Project Management
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Task Management
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 Trac

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...

Trac Reviews

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

Based on our record, Scikit-learn should be more popular than Trac. 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 / 12 months 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
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Trac mentions (15)

  • What is the name of the function? I know it does exist... but do not know where to look for...
    For instance, when I enter Trac-2345, logseq knows that it must be replaced by a link to the ticket number 2345 in my Trac ticket system. Source: about 1 year ago
  • Building GitHub with Ruby and Rails | The GitHub Blog
    Before there was Github, I used this software called Trac since it worked with subversion. It was so cool to be able to view source code and commits on the web. Then around 2007 or so I started using git and then in 2009 I created a Github account...so proud of Github and Rails. Thanks for the writeup! Source: about 1 year ago
  • Good free knowledge base software for internal IT documentation
    If you want more functionality, such as a ticketing system and the ability to manage source code repos, look at Redmine (https://www.redmine.org/) which also has a wiki feature. Trac is older but also has a wiki (https://trac.edgewall.org/). Source: over 1 year ago
  • Selfhosted support ticket system
    Try Trac, I've used it before without issues. Source: over 1 year ago
  • meetup.com equivalent?
    AFAIK Redmine is a project management software that mostly used in software development. If it is what you looking for, then check also track. Source: over 1 year ago
View more

What are some alternatives?

When comparing Scikit-learn and Trac, 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.

Redmine - Flexible project management web application

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

Jira - The #1 software development tool used by agile teams. Jira Software is built for every member of your software team to plan, track, and release great software.

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

Trello - Infinitely flexible. Incredibly easy to use. Great mobile apps. It's free. Trello keeps track of everything, from the big picture to the minute details.