Software Alternatives, Accelerators & Startups
Register | Login

Scikit-learn VS FinViz

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

TradingJournal
TradingJournal helps MT4/MT5 traders import, review, and improve their trades with analytics, trade charts, playbooks, rules, checklists, Review Queue, Weekly AI Reviews, and AI coaching. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Scikit-learn logo Scikit-learn

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

FinViz logo FinViz

Stock screener for investors and traders, financial visualizations.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • FinViz Landing page
    Landing page //
    2023-09-20

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.

FinViz features and specs

  • Comprehensive Market Data
    FinViz provides a vast amount of financial data, including stock quotes, charts, news, and financial statements, which is valuable for both novice and professional investors.
  • User-Friendly Interface
    The platform has a clean and intuitive design, making it easy for users to navigate through various tools and features without a steep learning curve.
  • Advanced Screening Tools
    FinViz offers robust stock screening tools that allow users to filter and search for stocks based on a wide range of criteria, such as market cap, P/E ratio, and dividend yield.
  • Visualization Tools
    The site provides various visualization tools, including heat maps, which help users quickly assess market conditions and identify trends.
  • Free Access
    A significant amount of FinViz's features are accessible for free, which makes it an attractive option for budget-conscious investors.

Possible disadvantages of FinViz

  • Limited Free Features
    While the free version of FinViz is robust, some advanced features, such as real-time data and some advanced screeners, require a paid subscription (FinViz Elite).
  • Data Update Frequency
    The free version of FinViz provides data that is delayed by at least 15 minutes, which may not be suitable for day traders or those needing real-time information.
  • Ad-Supported
    The free version includes advertisements, which can be distracting to users. Ad-free experience requires a FinViz Elite subscription.
  • Complex for Beginners
    Despite the user-friendly interface, the sheer amount of data and options available can be overwhelming for beginner investors who might not know how to utilize all the features effectively.
  • Customization Limitations
    While FinViz offers various tools and visualizations, there are limitations in terms of customization, especially when compared to more specialized financial software.

Analysis of Scikit-learn

Overall verdict

  • Yes, Scikit-learn is generally regarded as a good library for machine learning, especially for beginners and intermediate users who need reliable tools with efficient implementation of numerous algorithms.

Why this product is good

  • Scikit-learn is considered a good machine learning library because it provides a wide range of state-of-the-art algorithms for supervised and unsupervised learning. It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. The library is well-documented, easy to use, and has a consistent API that simplifies the integration of different algorithms. Furthermore, there's a strong community and continuous development, which means it is well-maintained and updated regularly with new features and improvements.

Recommended for

  • Beginners learning machine learning concepts and application.
  • Data scientists and engineers looking for a robust and efficient toolkit to build and deploy machine learning models.
  • Researchers who need an easy-to-use library that facilitates the experimentation of various algorithms.
  • Developers who require a seamless, Python-based machine learning library that integrates well with other data analysis tools and environments.

Analysis of FinViz

Overall verdict

  • Overall, FinViz is a robust platform that provides valuable insights and tools for stock market analysis. While the free version offers sufficient features for casual users, the premium version may be better suited for those needing real-time data and advanced functionalities.

Why this product is good

  • FinViz is considered good by many users due to its comprehensive suite of tools and features for stock market analysis. It offers extensive charting options, real-time quotes, news feeds, and a variety of screeners that enable investors to filter stocks based on multiple criteria. Its user-friendly interface and availability of both free and premium services make it accessible for both novice and experienced traders.

Recommended for

  • Individual investors and traders looking for a comprehensive yet easy-to-use platform
  • Users interested in technical analysis and stock screening tools
  • Beginner investors seeking educational resources and insights
  • Experienced traders needing advanced charting and real-time data
  • Anyone who wants to keep track of market news and trends

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

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

FinViz videos

+ Add

Finviz Elite Review - Exploring all the features

More videos:

  • Review - Finviz ELITE review
  • Review - #1 Free Stock Scanner: FINVIZ ๐Ÿ•ต๐Ÿปโ€โ™‚๏ธ

Category Popularity

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

Scikit-learn

FinViz

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Finance
0 0%
Finance
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Investing
0 0%
Investing
100% 100

User comments

Share your experience with using Scikit-learn and FinViz. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Scikit-learn and FinViz

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

FinViz Reviews

Top 4 Stocks Research Tools in 2024
Finviz serves as a comprehensive toolkit for investors and traders focusing on the US markets, featuring stock screeners, news feeds, portfolio management, stock charts, among other resources.
Source: intellectia.ai
TradingView Alternatives 2024: Best Paid & Free Competitors
However, that is not to take anything away from Finviz, as this is a great platform for beginners to experiment with for free. For example, the charts are capable of automated trend line analysis, which are surprisingly accurate and very useful if your eyes arenโ€™t โ€œtrainedโ€ to spot chart patterns yet. However, be aware that drawing tools and technical indicators require a...
Source: thesovereigninvestor.net
Top 10 Best Free Stock Charting Software Tools 2021 Review
Finviz used to be an excellent free service, but now it is all behind a paywall. To get access to anything good here in terms of interactive free charting experience, you will need to pay a handsome sum.
Source: www.liberatedstocktrader.com

Social recommendations and mentions

Based on our record, FinViz should be more popular than Scikit-learn. It has been mentiond 199 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 (40)

  • Detecting Ingress Tool Transfer (T1105) with Python
    Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 1 month ago
  • Best AI Cybersecurity Training for Security Teams: How to Pick
    Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / about 2 months ago
  • Where to Get Hands-On AI Training for Cybersecurity Professionals
    Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / about 2 months ago
  • How Anomaly Detection Actually Works in Security Operations
    Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 3 months ago
  • Building a Personalized Meal Recommendation System
    In practice, youโ€™ll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 4 months ago
View more

FinViz mentions (199)

  • What UI density means and how to design for it
    At the other end of the spectrum, I've always appreciated the density of FINVIZ: https://finviz.com/#. - Source: Hacker News / about 2 years ago
  • Looking for suggestions to replace Yahoo finance.
    Https://finviz.com/ and https://www.barchart.com/ are good Think Or Swim desktop and app has a live news data stream. Source: over 2 years ago
  • Stock Market Recap for Wednesday, December 6, 2023
    Many offer something similar, but I use finviz.com. Source: over 2 years ago
  • What's a good stock screening tool?
    Https://finviz.com/ works really well for me. Easy to use and read. Source: over 2 years ago
  • Iโ€™m 18 with 25k and need advice
    You can research from Finiviz. Spend some time to learn the UI and look for your dreams. Source: about 3 years ago
View more

What are some alternatives?

When comparing Scikit-learn and FinViz, 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.

TradingView - The best charting tool for crypto and stocks

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

Yahoo! Finance - At Yahoo Finance, you get free stock quotes, up-to-date news, portfolio management resources, international market data, social interaction and mortgage rates that help you manage your financial life.

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

Seeking Alpha - Be the first to know about news and market moving analysis on the stocks you follow.

Loading...