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CodeFactor.io VS Dividend Data

Compare CodeFactor.io VS Dividend Data and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

CodeFactor.io logo CodeFactor.io

Automated Code Review for GitHub & BitBucket

Dividend Data logo Dividend Data

Stock data in your spreadsheet, automatically.
  • CodeFactor.io Landing page
    Landing page //
    2021-10-19
  • Dividend Data
    Image date //
    2026-03-04
  • Dividend Data 2
    2 //
    2026-03-06
  • Dividend Data 3
    3 //
    2026-03-06
  • Dividend Data 4
    4 //
    2026-03-06

Dividend Data brings 30+ years of stock market data for 80,000+ tickers directly into your Google Sheets and Microsoft Excel spreadsheets โ€” no API keys, no coding, no copying and pasting.

Built for dividend & fundamental investors, it gives you instant access to dividends, yields, payout ratios, growth rates, financial statements, earnings, ratios, price history, and 100+ metrics through simple custom formulas.

Just type a formula. The data appears live.

What makes it different:

โ€ข Free tier with 2,500 monthly credits โ€” no trial expiration โ€ข 16 custom functions covering everything dividend investors need โ€ข 30+ years of historical data โ€ข Works in both Google Sheets and Microsoft Excel โ€ข Built by a dividend investor, for dividend investors

Used by fundamental investors who want institutional-grade data without the institutional price tag.

CodeFactor.io features and specs

  • Real-time Code Review
    CodeFactor.io provides immediate feedback on code changes by performing real-time code reviews, which helps catch issues early in the development process.
  • Integration with Popular Platforms
    The platform offers seamless integration with popular version control systems like GitHub, GitLab, and Bitbucket, allowing easy adoption into existing workflows.
  • Detailed Reports
    Generates detailed reports with clear metrics and actionable insights on code quality, helping teams understand and improve their codebase.
  • Automated Code Review
    Automates the code review process, saving developers time and ensuring consistency in code quality assessments.
  • Support for Multiple Languages
    Supports a wide range of programming languages, making it versatile for teams working with diverse technology stacks.

Possible disadvantages of CodeFactor.io

  • Limited Free Plan
    The free plan has limitations in terms of features and the number of private repositories it can support, which may not be sufficient for larger teams or projects.
  • False Positives/Negatives
    Like many automated code review tools, CodeFactor.io can sometimes generate false positives or negatives, which might require manual inspection.
  • Performance Issues
    Some users have reported performance issues, such as slow analysis times, especially with very large codebases.
  • Learning Curve
    Although the interface is user-friendly, there can be a learning curve associated with interpreting some of the more detailed metrics and reports.
  • Customization Limitations
    The level of customization in the analysis rules and settings can be limited compared to some other code quality tools, potentially restricting its adaptability to specific team needs.

Dividend Data features and specs

No features have been listed yet.

Analysis of CodeFactor.io

Overall verdict

  • CodeFactor.io is generally considered a good tool for developers seeking to improve code quality and streamline the code review process. Its ease of use and integration capabilities make it a valuable asset for both individual developers and teams.

Why this product is good

  • CodeFactor.io is a tool that provides automated code review for GitHub projects.
  • It helps developers maintain high code quality by automatically identifying issues in their code.
  • The platform supports multiple programming languages and integrates easily into a developer's workflow with GitHub.
  • It provides detailed insights and suggestions on how to fix the identified issues, which can save time for developers and maintain consistent code quality.

Recommended for

  • Individual developers looking to automate their code review process.
  • Development teams seeking to maintain consistent code quality.
  • Open-source project maintainers who want to ensure their codebase remains in good shape.
  • Organizations looking to integrate automated code analysis into their continuous integration/continuous deployment (CI/CD) pipelines.

Analysis of Dividend Data

Overall verdict

  • Dividend Data (dividenddata.com) is a useful free resource for investors tracking UK and international dividend-paying stocks, offering solid data coverage for the price, though it lacks some of the polish and advanced analytics of premium paid platforms.

Why this product is good

  • Provides comprehensive dividend history, yield, and payment date information for a wide range of listed companies, particularly strong on UK equities
  • Free to access, making it accessible for retail investors without subscription costs
  • Includes forecast dividend data and ex-dividend date calendars, useful for planning income strategies
  • Simple, straightforward interface that is easy to navigate for basic dividend lookups
  • Aggregates data that would otherwise require checking multiple company reports or exchange filings

Recommended for

  • UK-focused income investors seeking dividend yield and payment date information
  • Retail investors building dividend income portfolios on a budget
  • Casual investors who want quick reference data without paying for premium research tools
  • People tracking ex-dividend dates to time purchases or avoid missing payments
  • Investors who want a supplementary free tool alongside other more detailed brokerage or analytics platforms

CodeFactor.io videos

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Getting started with CodeFactor.io

Dividend Data videos

No Dividend Data videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to CodeFactor.io and Dividend Data)

CodeFactor.io

Dividend Data

Code Coverage
100 100%
Code Coverage
0% 0
Investing
0 0%
Investing
100% 100
Code Quality
100 100%
Code Quality
0% 0
Trading
0 0%
Trading
100% 100

User comments

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What are some alternatives?

When comparing CodeFactor.io and Dividend Data, you can also consider the following products

Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.

DailyStockMarketData.com - Daily stock market data in a convenient CSV

CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.

FinViz - Stock screener for investors and traders, financial visualizations.

SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.

Main Street Data - Stock KPIs, Fundamentals, and Revenue/Expense Segmentation

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