Software Alternatives, Accelerators & Startups

RescueTime VS Scikit-learn

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

RescueTime logo RescueTime

Time management software that shows you how you spend your time & provides tools to help you be more productive.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • RescueTime Landing page
    Landing page //
    2023-10-17
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

RescueTime videos

3 months with RescueTime: full review

More videos:

  • Review - RescueTime - Your Time Management Snitch and Productivity Pal

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Category Popularity

0-100% (relative to RescueTime and Scikit-learn)
Time Tracking
100 100%
0% 0
Data Science And Machine Learning
Invoicing
100 100%
0% 0
Data Science Tools
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 RescueTime and Scikit-learn

RescueTime Reviews

20 Employee Monitoring Software [2022 Updated List]
RescueTime keeps employees focused on completing tasks by blocking distracting websites and apps. Managers can access the recorded productivity data of individuals and entire teams. They can also filter reports based on the time spent on a specific website, task, and application.
Source: traqq.com
The 5 best time tracking apps of 2022
RescueTime is an automatic time tracking app with a version for just about every platform you could want. To start using RescueTime, first install a small monitoring app on your computer. This software works in the background to observe your computer usage and powers the RescueTime Assistant, "a digital wellness coach."
Source: zapier.com
Top 8 Time Management Apps for College Students
RescueTime application fully corresponds to its title. It offers three options: for your browser, desktop, and cellphone. However, we would recommend you to install all three of them for a better effect.
Source: izismile.com

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...

Social recommendations and mentions

Based on our record, Scikit-learn seems to be a lot more popular than RescueTime. While we know about 28 links to Scikit-learn, we've tracked only 1 mention of RescueTime. 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.

RescueTime mentions (1)

  • Ask HN: Increasing Deep Work Tolerance
    2. It automatically tracks deep work, so I can see daily and week over week improvement. [1] https://rescuetime.com. - Source: Hacker News / about 2 years ago

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 / 2 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 / 11 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: 12 months 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: about 1 year ago
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What are some alternatives?

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

Toggl - Toggl is an online time tracking tool. It features 1-click time tracking and helps you see where your time goes. Free and paid versions are available.

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

Harvest - Simple time tracking, fast online invoicing, and powerful reporting software. Simplify employee timesheets and billing. Get started for free.

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

Time Doctor - Time Tracking and Time Management Software that is accurate and helps you to get a lot more done each day.

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