Software Alternatives, Accelerators & Startups

Scikit-learn VS Usersnap

Compare Scikit-learn VS Usersnap 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.

Usersnap logo Usersnap

Usersnap is a customer feedback software for SaaS companies that need to constantly improve and grow their products.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Usersnap Landing page
    Landing page //
    2022-01-04

Usersnap is more than a platform to collect and manage feedback: we pave the road for customer-led growth. Usersnap helps digital products increase feedback interactions and gather insights on customer problems. How?

  • Feedback widgets with screen capture: makes your communication with users on complicated issues much easier.
  • Targeted microsurveys: boosts engagement and ensures precise insights for you to make decisions with evidence.
  • Intuitive dashboard and set up: saves time for non-tech savvy teams in research, testing and monitoring customer sentiment.
  • Community and conversations: get the collective VoC with community upvotes. Build real relationships with your users by replying to feedback through Usersnap or have a open discussion on the public Usersnap Board.

Usersnap empowers startups to agile enterprises to avoid failures and build products that matter, all with the clarity of customer feedback.

Usersnap

$ Details
paid Free Trial $69.0 / Monthly (10 team members, 5 feedback projects)
Platforms
Google Chrome Firefox Browser
Release Date
2020 January

Scikit-learn features and specs

No features have been listed yet.

Usersnap features and specs

  • Screen recording: Yes
  • Voice recording: Yes
  • Feedback widget: Yes
  • Feedback boards: Yes
  • Feedback & Commenting: Yes
  • Bug Tracking: Yes
  • Integrations: Yes
  • Feedback Collector: Yes
  • Flexible Pricing: Yes
  • NPS Widget: Yes
  • Customer Support: Yes
  • Customer Feedback Widget: Yes
  • Customer portal: Yes
  • Surveys: Yes

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Usersnap videos

Usersnap - Grow your product with the clarity of customer feedback

More videos:

  • Review - DEMO - Usersnap - add visual feedback superpowers to Jira Software - Optimize your development

Category Popularity

0-100% (relative to Scikit-learn and Usersnap)
Data Science And Machine Learning
Customer Feedback
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Visual Bug Reports
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 Usersnap

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...

Usersnap Reviews

30 Best Customer Feedback Survey Tools: An Overview | Mopinion
Saber Feedback is very similar to UserSnap in that users can highlights issues on your website. The major difference is that the notes you take in this customer feedback tool are based more on highlighted elements and not using drawings or arrows. All notes created are saved as a screenshot which can be sent to you by email. Great for bugs and UX isses!
Source: mopinion.com
Top 10 Bug Tracking Tools for Web Developers and Designers
Usersnap is a bug tracking tool that offers maximum integration for project management tools like JIRA, Trello, Slack, Intercom and Zendesk. It gives web developers the advantage of a floating widget over the clouds to leave annotations placed above the webpage. Usersnap allows Java script responses and that makes it a most powerful tool for receiving bug reports from the...

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than Usersnap. It has been mentiond 29 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 (29)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 20 days ago
  • 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 / 4 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
View more

Usersnap mentions (4)

What are some alternatives?

When comparing Scikit-learn and Usersnap, 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.

BugHerd - BugHerd: The Website Feedback Tool for Agencies

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

Hotjar - The #1 Leader in Heatmaps, Recordings, Surveys & More. Sign up for a 15-day free trial and start learning from real user behavior today!

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

Marker.io - Visual feedback and bug reporting tool for websites