Software Alternatives, Accelerators & Startups

Balsamiq VS Scikit-learn

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

Balsamiq logo Balsamiq

Balsamiq. Rapid, effective and fun wireframing software.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Balsamiq Landing page
    Landing page //
    2021-10-02
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Balsamiq videos

UX Review: Balsamiq.com - Watch a Usability Expert Review Our Site!

More videos:

  • Tutorial - Balsamiq Mockups: Beginner Tutorial
  • Review - Balsamiq Wireframes for Desktop Overview (Windows)

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 Balsamiq and Scikit-learn)
Prototyping
100 100%
0% 0
Data Science And Machine Learning
Design Tools
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 Balsamiq and Scikit-learn

Balsamiq Reviews

Figma Alternatives: 12 Prototyping and Design Tools in 2024
Balsamiq is a design tool that has been available since 2008. It’s easy to use and even boasts active customer service if you need help. The software is beginner-friendly, so there is no learning curve if you’re a newbie.

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

Balsamiq might be a bit more popular than Scikit-learn. We know about 30 links to it since March 2021 and only 28 links to Scikit-learn. 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.

Balsamiq mentions (30)

  • Tell HN: My Favorite Tools
    A few apps that are a joy to use: https://ia.net/writer for writing. https://usecontrast.com/ for checking contrast. https://sipapp.io/ for picking colors. https://nova.app/ for editing code. https://cleanshot.com/ for screenshots. https://getpixelsnap.com/ for measuring elements on screen. https://netnewswire.com/ for reading things via RSS. https://panic.com/transmit/ for file transfers. https://usefathom.com/... - Source: Hacker News / 6 months ago
  • Ask HN: Best UI design courses for hackers?
    I think the best practical approach for designing UIs is to download (and buy) Balsamic[0] and use that to design UIs. Cut through the nonsense of colours and pixels in the first instance and just lay things out logically and simply. [0] https://balsamiq.com. - Source: Hacker News / 6 months ago
  • Build Products that don’t SUCK
    Create a low-fidelity mockup or wireframe of your MVP using tools like Balsamiq, Sketch, or Figma. Or use an easier-to-use tool like Uizard, which also has text-to-design capabilities. Source: 10 months ago
  • Starting Design Work in a Spreadsheet
    Just for drawing mock app screens, I have found Balsamiq[0] to be pretty good (you can do a bunch of stuff with the trial version itself). Not affiliated with them in any way. [0]: https://balsamiq.com/. - Source: Hacker News / 11 months ago
  • Is there software for building out copywriting for a website?
    Balsamiq has been pretty good for me so far. It's super bare-bones so it's better for copy mockups than actual UX design. It's also a lot easier than Figma. Note that you don't have to use the default comic sans, but I do because it's funny. Source: over 1 year ago
View more

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
View more

What are some alternatives?

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

Invision - Prototyping and collaboration for design teams

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

Moqups - The most stunning HTML5 app for creating resolution-independent SVG mockups, wireframes & interactive prototypes for your next project

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

Zeplin - Collaboration app for UI designers & frontend developers

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