EOL Dataset vs Simpl.
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 Simpl. leads with 339 upvotes

Find every EOL dependency in your stack. Free. In 5 minutes.
EOL Dataset is a groundbreaking tool for developers and security teams seeking to understand the lifecycle status of their software dependencies. Unlike traditional SCA tools that focus solely on CVEs and vulnerabilities, EOL Dataset goes a step further by identifying whether dependencies are actively maintained or have reached their end-of-life. By analyzing over 12 million package versions across major ecosystems, the tool leverages official EOL declarations and machine learning to detect maintainer abandonment, providing users with clear insights into which dependencies are still viable. Simply upload a package.json, pom.xml, requirements.txt, or any SBOM, and EOL Dataset delivers precise information about the maintenance status of both direct and transitive dependencies. This makes it an invaluable resource for ensuring software sustainability and reducing technical debt, all at no cost.
Pros
- Provides comprehensive lifecycle status for dependencies across multiple ecosystems
- Utilizes ML-based detection for more accurate maintainer abandonment insights
- Easy to use: upload common dependency files and get instant results
- Free of charge, removing cost barriers for developers and teams
- Helps identify outdated or unsupported dependencies to improve security and stability
Cons
- Focuses solely on maintenance status; does not cover vulnerability scanning or CVEs
- Limited to dependency lifecycle information; may require complementary tools for full security analysis
- Dependence on accurate official EOL declarations, which may vary across ecosystems
Best for
- • Auditing dependencies for active maintenance before production deployment
- • Identifying outdated or abandoned packages to plan for upgrades
- • Assessing the sustainability of open-source components in a project
- • Reducing security risks by replacing unsupported dependencies
Pricing: EOL Dataset is offered as a free tool, making it accessible to individual developers, startups, and larger teams without financial barriers. Its free model allows users to leverage lifecycle insights without subscription costs or usage limits.

A pleasant Postgres browser for working with real data
Simpl is a sleek, user-friendly Postgres database browser designed for developers and small teams seeking a straightforward way to explore production data. Unlike bulky enterprise tools or custom admin panels that require ongoing maintenance, Simpl offers an instant, beautiful interface simply by pasting a connection string. It intelligently filters data, naturally follows foreign key relationships, and allows customization to focus on relevant information. Built by a solo developer, Simpl is tailored for solo developers and small teams who need an efficient, no-fuss solution for database browsing. Its clean design and ease of use make it an attractive alternative to complex, expensive database management tools, enabling faster data insights and collaboration without the overhead.
Pros
- Instant setup with connection string, no complex configuration
- Beautiful, intuitive interface tailored for ease of use
- Supports intelligent filtering and foreign key navigation
- Customizable views and easy sharing with team members
- Ideal for solo developers and small teams seeking simplicity
Cons
- Limited advanced management features compared to enterprise tools
- Potentially less suitable for heavy-duty database administration
- Depends on a stable internet connection for sharing and collaboration
Best for
- • Quickly browsing production data during development or debugging
- • Sharing database views with team members for collaboration
- • Monitoring data trends and quality checks in small projects
- • Ad-hoc data exploration for reporting or analysis
Pricing: Likely follows a freemium model with a free tier offering essential browsing features; premium plans may include additional sharing, customization, or support options. Specific pricing details are not publicly confirmed.