ava vs. jasmine-core
Side-by-side comparison · 9 metrics · 14 criteria
- Weekly Downloads
- 288.3K
- Stars
- 20.9K
- Gzip Size
- 411 B
- License
- MIT
- Last Updated
- 3mo ago
- Open Issues
- 56
- Forks
- 1.5K
- Unpacked Size
- 285.8 kB
- Dependencies
- 1
- Weekly Downloads
- 2.6M
- Stars
- 15.8K
- Gzip Size
- 33.8 kB
- License
- MIT
- Last Updated
- 3mo ago
- Open Issues
- 9
- Forks
- 2.2K
- Unpacked Size
- 460.8 kB
- Dependencies
- 1
ava vs jasmine-core downloads — last 12 months
Criteria — ava vs jasmine-core
- Core Philosophy
- ava ✓Empowering developers with confidence through fast, simple, and powerful testing.jasmine-coreProviding a complete, all-in-one framework for behavior-driven development.
- API Design Focus
- avaMinimalist, assertion-centric API for direct and concise test writing.jasmine-core ✓Behavior-Driven Development (BDD) syntax (describe, it, expect) for expressive test specifications.
- Integrated Tooling
- avaRelies on modern JavaScript language features and external assertion libraries.jasmine-core ✓Includes built-in matchers, spies, and stubs for extensive test simulation.
- Dependency Footprint
- ava ✓Minimal, focusing on core test runner functionality.jasmine-coreMore extensive, encompassing a full suite of testing utilities.
- Mocking and Stubbing
- avaTypically relies on separate libraries for comprehensive mocking solutions.jasmine-core ✓Provides integrated spies and stubs as a core part of the framework.
- Test Assertion Style
- avaDirect assertion calls for immediate feedback on test outcomes.jasmine-core ✓Expectation-based assertions integrated within the BDD syntax.
- Test Execution Model
- ava ✓Leverages worker threads for parallel test execution, promoting speed and isolation.jasmine-coreTypically runs tests sequentially within a single process, with robust asynchronous handling.
- Asynchronous Handling
- ava ✓First-class, seamless support for modern async/await syntax.jasmine-coreComprehensive asynchronous utilities for managing complex operations.
- Parallelism Mechanism
- ava ✓Built directly into the core runner using Node.js worker threads.jasmine-corePrimarily serial execution; asynchronous operations managed within test definitions.
- Bundle Size Efficiency
- ava ✓Extremely minimal gzipped size (411 B), prioritizing lightweight integration.jasmine-coreNoticeably larger gzipped size (33.8 kB) due to its comprehensive feature set.
- Extensibility Approach
- avaFocuses on core features, encouraging external libraries for advanced tooling.jasmine-core ✓Offers rich built-in capabilities for mocking and simulation, reducing reliance on external tools.
- Test Isolation Strategy
- ava ✓Achieved through running tests in separate worker threads.jasmine-coreManaged through careful setup and teardown within a single process execution context.
- Learning Curve Intensity
- ava ✓Generally considered low due to its simple API and focus on core testing principles.jasmine-corePotentially moderate, with a richer set of features and BDD syntax to learn.
- Primary Target Environment
- avaPrimarily modern Node.js applications.jasmine-core ✓Versatile across browsers and Node.js environments.
| Criteria | ava | jasmine-core |
|---|---|---|
| Core Philosophy | ✓ Empowering developers with confidence through fast, simple, and powerful testing. | Providing a complete, all-in-one framework for behavior-driven development. |
| API Design Focus | Minimalist, assertion-centric API for direct and concise test writing. | ✓ Behavior-Driven Development (BDD) syntax (describe, it, expect) for expressive test specifications. |
| Integrated Tooling | Relies on modern JavaScript language features and external assertion libraries. | ✓ Includes built-in matchers, spies, and stubs for extensive test simulation. |
| Dependency Footprint | ✓ Minimal, focusing on core test runner functionality. | More extensive, encompassing a full suite of testing utilities. |
| Mocking and Stubbing | Typically relies on separate libraries for comprehensive mocking solutions. | ✓ Provides integrated spies and stubs as a core part of the framework. |
| Test Assertion Style | Direct assertion calls for immediate feedback on test outcomes. | ✓ Expectation-based assertions integrated within the BDD syntax. |
| Test Execution Model | ✓ Leverages worker threads for parallel test execution, promoting speed and isolation. | Typically runs tests sequentially within a single process, with robust asynchronous handling. |
| Asynchronous Handling | ✓ First-class, seamless support for modern async/await syntax. | Comprehensive asynchronous utilities for managing complex operations. |
| Parallelism Mechanism | ✓ Built directly into the core runner using Node.js worker threads. | Primarily serial execution; asynchronous operations managed within test definitions. |
| Bundle Size Efficiency | ✓ Extremely minimal gzipped size (411 B), prioritizing lightweight integration. | Noticeably larger gzipped size (33.8 kB) due to its comprehensive feature set. |
| Extensibility Approach | Focuses on core features, encouraging external libraries for advanced tooling. | ✓ Offers rich built-in capabilities for mocking and simulation, reducing reliance on external tools. |
| Test Isolation Strategy | ✓ Achieved through running tests in separate worker threads. | Managed through careful setup and teardown within a single process execution context. |
| Learning Curve Intensity | ✓ Generally considered low due to its simple API and focus on core testing principles. | Potentially moderate, with a richer set of features and BDD syntax to learn. |
| Primary Target Environment | Primarily modern Node.js applications. | ✓ Versatile across browsers and Node.js environments. |
Ava is a next-generation JavaScript test runner engineered for developer productivity and confidence. Its core philosophy centers on providing a fast, simple, and powerful testing experience, particularly appealing to developers building modern Node.js applications who value speed and a clean API. Ava's approach encourages writing tests that are easy to understand and maintain, making it an excellent choice for teams aiming for robust testing practices without unnecessary complexity. It's designed to handle asynchronous operations seamlessly, supporting modern JavaScript features directly.
Jasmine-core is a comprehensive, behavior-driven development (BDD) testing framework that has established itself as a go-to solution for both browsers and Node.js environments. Its primary strength lies in its all-in-one nature, offering matchers, spies, and a clear structure out of the box, which is ideal for developers who prefer a framework that provides a complete testing toolkit immediately. Jasmine-core is well-suited for projects of all sizes that benefit from a structured approach to defining and executing tests, often embraced by teams looking for a familiar and feature-rich testing experience. Its design prioritizes readability and expressiveness in test specifications.
A significant architectural difference lies in their fundamental control flow. Ava utilizes worker threads to run tests in parallel, enhancing performance by isolating test environments and preventing interference between tests. This model allows for greater concurrency and quicker test suite execution, especially on multi-core processors.
Jasmine-core, on the other hand, typically runs tests sequentially within a single process by default, though its asynchronous capabilities allow for managing concurrent operations within a test. While it offers a more integrated API for simulating environments and dependencies with its spies and stubs, Ava's parallel execution model is a key differentiator for raw speed and isolation.
In terms of developer experience, Ava offers a highly streamlined API with minimal boilerplate, focusing on assertion-based testing. Its explicit async/await support and clear error messages contribute to a smooth debugging process. Jasmine-core provides a more structured BDD syntax (describe, it, expect), which can be more expressive for defining test scenarios and behaviors, potentially leading to a gentler initial learning curve for those new to testing concepts, though its comprehensive feature set might take longer to master fully.
From a performance and bundle size perspective, Ava stands out significantly. Its extremely small gzipped bundle size of only 411 B is remarkable, indicating a highly optimized and focused dependency footprint. This makes it an excellent choice for projects where minimizing the testing overhead is critical.
Jasmine-core, while still reasonably sized, has a considerably larger gzipped bundle size of 33.8 kB. This larger footprint reflects its more comprehensive feature set, including built-in assertion libraries and mocking capabilities. For projects prioritizing the absolute smallest testing overhead, Ava is the clear winner in this regard.
When choosing between Ava and Jasmine-core, consider your project's specific needs. If you are developing a modern Node.js application and prioritize test execution speed, clean asynchronous handling, and a minimal dependency footprint, Ava is an excellent option. Its parallel test execution and concise API are strong selling points for performance-conscious developers.
Conversely, if you're working on a project that benefits from a full-featured, behavior-driven testing framework with integrated mocking and assertion tools, and you appreciate a more descriptive test syntax, Jasmine-core is a robust choice. Its widespread adoption in both browser and Node.js environments makes it a versatile option for diverse project types and team preferences.
Ava's modern design and focus on performance make it ideal for new Node.js projects and microservices where fast feedback loops are crucial. Its reliance on standard JavaScript features and minimal core functionality means it integrates well with various build tools and CI/CD pipelines.
Jasmine-core's established nature and comprehensive feature set make it suitable for larger, more complex applications, particularly those with a history of using the framework or requiring a unified testing approach across front-end and back-end JavaScript environments. Its extensive capabilities for stubbing and spying are invaluable for complex integration testing scenarios.
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