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Scikit-learn VS AssetTiger

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

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Scikit-learn logo Scikit-learn

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

AssetTiger logo AssetTiger

AssetTiger is a free community service and cloud-based asset management tool.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • AssetTiger Landing page
    Landing page //
    2023-05-01

Scikit-learn features and specs

  • Ease of Use
    Scikit-learn provides a high-level interface for common machine learning algorithms, making it easy for beginners and professionals to implement complex models with minimal coding.
  • Extensive Documentation and Community Support
    The library has comprehensive documentation and a large, active community. This makes it easy to find tutorials, examples, and solutions to common problems.
  • Integration with Other Libraries
    Scikit-learn integrates well with other scientific computing libraries such as NumPy, SciPy, and pandas, allowing for seamless data manipulation and analysis.
  • Variety of Algorithms
    It offers a wide array of machine learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.
  • Performance
    Designed with performance in mind, many of the algorithms are optimized and some even support multicore processing.

Possible disadvantages of Scikit-learn

  • Limited Deep Learning Support
    Scikit-learn is primarily focused on traditional machine learning algorithms and does not offer support for deep learning models, unlike libraries like TensorFlow or PyTorch.
  • Not Ideal for Large-Scale Data
    While Scikit-learn performs well for moderate-sized datasets, it may not be the best choice for extremely large datasets or big data applications.
  • Lack of Online Learning Algorithms
    The library has limited support for online learning algorithms, which are useful for scenarios where data arrives in a stream and model needs to be updated incrementally.
  • Less Flexibility in Customization
    It can be less flexible compared to lower-level libraries when highly customized or specific implementations are needed.
  • Dependency Overhead
    Scikit-learn relies on several other Python libraries like NumPy and SciPy, which might require users to manage multiple dependencies.

AssetTiger features and specs

  • Free to Use
    AssetTiger offers a free version of their asset management software, making it accessible for small businesses and organizations without the need for significant financial investment.
  • Cloud-Based
    Being a cloud-based solution, AssetTiger ensures that data can be accessed from any location with an internet connection, facilitating remote work and data sharing among team members.
  • User-Friendly Interface
    The platform features an intuitive and easy-to-navigate interface, which reduces the learning curve for new users and enables quick adoption across the organization.
  • Comprehensive Features
    AssetTiger provides a robust set of asset management features including tracking, reporting, auditing, and maintenance scheduling, making it a comprehensive solution for asset management needs.
  • Barcode and QR Code Integration
    The software supports barcode and QR code scanning, simplifying the process of asset identification, tracking, and inventory management.

Possible disadvantages of AssetTiger

  • Limited Offline Functionality
    Because AssetTiger is a cloud-based solution, accessing and managing assets offline can be challenging, which may be an issue for users with unreliable internet access.
  • Advanced Features May Be Paid
    Although the basic version is free, certain advanced features and capabilities may require a paid subscription, which could be a limitation for users seeking completely free solutions.
  • User Limitations
    The free version may have limitations on the number of users or assets that can be managed, which might not be suitable for larger organizations with extensive assets.
  • Integration Limitations
    While AssetTiger offers a range of features, it might lack comprehensive integrations with some third-party software solutions commonly used in larger enterprises, necessitating manual data handling.
  • Customer Support
    Users may find that the level of customer support is limited, particularly for those using the free version of the software, which could lead to challenges in troubleshooting and effective use.

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

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

AssetTiger videos

+ Add

AssetTiger :: How to Use Asset Tiger for Free

More videos:

  • Review - AssetTiger :: Mobile App
  • Review - AssetTiger :: Adding An Asset

Category Popularity

0-100% (relative to Scikit-learn and AssetTiger)

Scikit-learn

AssetTiger

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Asset Management
0 0%
Asset Management
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Asset Tracking
0 0%
Asset Tracking
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 AssetTiger

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...
Source: searchbusinessanalytics.techtarget.com

AssetTiger Reviews

12 Best Asset Management Software For IT Teams In 2023
Why I picked AssetTiger: The platform makes it easy for anyone to get started with asset management. It features a user-friendly check-in and check-out system to reserve assets quickly and efficiently. I like how you can reserve different assets in advance right from your phone.
Source: thectoclub.com
Top 10 Free It Asset Management Software
Asset Tags. Learn about our new, free for SmartSign customers, software – AssetTiger. See the many features and functionality of this cloud based software available for your computer, phone or tablet.
Source: cloudsmallbusinessservice.com
Best Free Asset Tracking Software
Yes, AssetTiger is a permanently free asset tracking service. The free system includes useful features such as support for unlimited users and assets, maintenance alerts, contract and license management, and unlimited cloud storage. However, it comes with two big caveats: AssetTiger is designed for fixed assets, not moveable ones, and the free plan is capped at a max of 250...
Source: tech.co

Social recommendations and mentions

Based on our record, Scikit-learn seems to be more popular. It has been mentiond 31 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 (31)

  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
  • 🚀 Launching a High-Performance DistilBERT-Based Sentiment Analysis Model for Steam Reviews 🎮🤖
    Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 5 months ago
  • 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 / 11 months 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 / about 1 year 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 / almost 2 years ago
View more

AssetTiger mentions (0)

We have not tracked any mentions of AssetTiger yet. Tracking of AssetTiger recommendations started around Mar 2021.

What are some alternatives?

When comparing Scikit-learn and AssetTiger, 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.

Asset Panda - The cloud is playing a very important role for companies who utilize asset management software to track their assets or inventory. See how Asset Panda is leading the field thanks to their cloud-based tracking platform.

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

OpenMAINT - openMAINT manages movable assets, the real estate, and the related maintaining, logistic and economic activities, GIS and BIM

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

ALVAO IT Asset Management - ALVAO ITAM software helps you manage a wide range of assets, such as hardware, software, data, and people - it is up to you what you want to track.

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