GITNUXSOFTWARE ADVICE
Technology Digital MediaTop 10 Best API Software of 2026
This roundup compares api software options like Insomnia, showing tradeoffs for building, documenting, and testing APIs.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
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Framework: Features 40% · Ease 30% · Value 30%
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Insomnia is the best pick for teams that need repeatable API testing workflows without manual reruns, because collection-based templates plus HTTP scripting let you automate assertions across environments, whereas MuleSoft fits enterprise orgs that want governed publishing and managed deployments across back-end systems.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Insomnia
Collection-based request templates plus HTTP scripting for automated assertions across environments.
Best for: Fits when teams need repeatable API testing workflows without gateway-level traffic controls.
Swagger
Editor pickSpec-driven mock server execution to test integrations directly from the OpenAPI document.
Best for: Fits when teams want contract-first REST API documentation, mocks, and SDK generation from OpenAPI specs.
Stoplight
Editor pickContract testing and mock server generation are driven directly from the OpenAPI contract within the publishing workflow.
Best for: Fits when API teams want spec-driven docs, mocks, and contract tests with controlled publishing.
Comparison Table
Insomnia
API-firstOpen-source API client for designing, debugging, and testing REST and GraphQL APIs.
Collection-based request templates plus HTTP scripting for automated assertions across environments.
Insomnia provides a local-first editor for REST API requests and collections, with environment variables that can be swapped per run without editing each request. Request execution includes assertions and scripted steps, and it supports organizing requests into collections for repeatable testing runs. Spec import helps teams map endpoints from an OpenAPI definition into structured requests and keeps request parameters aligned with the contract.
A key tradeoff is that Insomnia is not an API gateway and does not enforce quota or rate limiting on behalf of a backend. It fits best when engineering teams need a fast, shareable API testing suite for developers and QA, or when contract updates require rapid regeneration of request scaffolding.
- +Environment variables and request collections reduce manual reruns
- +HTTP scripting enables assertions and custom pre or post steps
- +OpenAPI import maps endpoint parameters into structured requests
- +History and exportable collections support team workflow handoffs
- –No native backend traffic enforcement like quotas or throttling
- –Governance and RBAC controls are limited to workspace sharing
Backend developers
Validate new endpoints from specs
Fewer regressions before integration
QA automation engineers
Script API regression suites
Consistent pass and fail signals
Show 2 more scenarios
Platform integration teams
Test multi-environment dependencies
Faster staging to production checks
Use environments to swap base URLs and credentials while keeping request logic consistent.
API documentation stewards
Track request scaffolding from contracts
Reduced drift between docs and tests
Reimport updated OpenAPI specs to refresh endpoint parameter wiring and examples.
Best for: Fits when teams need repeatable API testing workflows without gateway-level traffic controls.
Swagger
API-firstOpen-source tooling for OpenAPI specification design, documentation, and code generation.
Spec-driven mock server execution to test integrations directly from the OpenAPI document.
Swagger publishes and validates OpenAPI specifications to drive API documentation, client SDK generation, and contract-based API workflows. Swagger UI renders documented REST endpoints with interactive request forms tied to the underlying spec.
Swagger Editor helps authors manage OpenAPI documents and catch structural issues before publishing. Swagger tooling also supports mock server execution for spec-driven endpoint behavior during API testing and integration.
- +OpenAPI spec workflow supports documentation, SDK generation, and mocks from one source
- +Swagger UI provides interactive endpoint testing with request examples defined in the spec
- +Swagger Editor streamlines spec authoring with immediate structural feedback
- +Mock server enables contract-first testing without implementing full backend routes
- –Spec-only mocks do not reflect runtime behavior like dynamic auth or database state
- –Advanced governance such as automated policy enforcement typically needs extra tooling
- –Maintaining large OpenAPI documents can become slow without disciplined component reuse
- –Coverage for non-REST services like gRPC depends on external translation steps
API documentation teams
Publish browsable endpoints with request forms
Reusable endpoint reference experience
Client developers
Test integration calls from examples
Less integration learning friction
Show 2 more scenarios
API architects
Define shared contracts across services
Consistent contract for consumers
Teams model paths, parameters, schemas, and responses in OpenAPI so service implementation matches a shared definition.
Backend developers
Generate server stubs from OpenAPI
Faster service code scaffolding
Server scaffolding artifacts are produced from the API definition to accelerate aligned service implementation.
Best for: Fits when teams want contract-first REST API documentation, mocks, and SDK generation from OpenAPI specs.
Stoplight
API-firstAPI design platform for collaborative OpenAPI modeling, mocking, and documentation.
Contract testing and mock server generation are driven directly from the OpenAPI contract within the publishing workflow.
Stoplight provides an authoring workflow for OpenAPI definitions with validation, change review, and controlled publishing to a documentation portal. It also offers automation around contract quality through tests derived from the API description and a mock server for front-end and integration development. For teams shipping multiple services, Stoplight can organize specifications so new versions map to published environments for consistent consumer behavior.
A tradeoff appears when a program needs strict policy controls across many engineers and repositories, since governance depth depends on how teams structure workspaces and review steps. Stoplight works best when API contracts are the source of truth and the organization wants the same spec to drive docs, mocks, and contract tests.
- +OpenAPI editing with built-in validation and consistent spec formatting
- +Mock server generation from the API description for parallel development
- +Contract testing flow that ties test artifacts to API operations
- +Documentation portal publishing workflow tied to spec changes
- –Governance across many teams depends on workspace and review process design
- –Strongest path assumes OpenAPI as the primary contract artifact
- –Deep API runtime controls like gateway-level policies are not the focus
- –Large spec sets require disciplined organization to avoid review fatigue
API product teams
Publish changes with contract-backed validation
Fewer breaking changes in releases
Frontend and integration engineers
Develop against mocks before backend readiness
Earlier testing of client flows
Show 2 more scenarios
QA and platform engineering
Run automated contract tests from operations
Detect contract regressions quickly
QA derives tests from the API description to verify request and response behavior against the contract.
Engineering managers
Coordinate review and publish across services
Consistent documentation across teams
Managers standardize publishing steps so consumer-facing documentation reflects approved API changes.
Best for: Fits when API teams want spec-driven docs, mocks, and contract tests with controlled publishing.
Postman
API-firstAPI platform for building, testing, and documenting APIs with collaboration features.
Runs scripted tests inside collections and turns them into automated scheduled monitoring for the same request workflows.
Postman is a REST API testing and workflow environment that also supports collections, environments, and automated runs for repeatable API validation. Its core capabilities include an API client with request chaining, OpenAPI import for documentation and mock generation, and collaboration features for sharing collections across teams.
- +Collections and environments turn repeat API tests into shareable workflows
- +OpenAPI import can drive mock servers and generate request scaffolding
- +Scriptable tests in responses support detailed validation and regression checks
- +Built-in monitors run collections on a schedule for continuous API checks
- –Governance and RBAC controls are not as granular as full API gateway admin
- –Large suites can slow down when collections rely on many chained requests
API developers
Share request examples for collaborators
Reusable documentation tied to requests
Operations teams
Schedule recurring collection checks
Recurring health signals
Show 2 more scenarios
Platform integration teams
Run collections across multiple environments
No request duplication
Collections are reused with different variables and credentials to validate the same API workflow in dev and production-like setups.
QA and API teams
Run regression assertions after changes
Earlier regression detection
Shared collections execute scripted checks against endpoints to reveal regressions in HTTP and response payload behavior.
Best for: Fits when teams need repeatable API test workflows, shared collections, and OpenAPI-driven mocking.
Apifox
API-firstIntegrated API development platform combining design, testing, mocking, and documentation.
Mock server execution generated from the same modeled API definitions used for tests and docs.
Apifox’s core workflow starts from an OpenAPI specification or imported API definitions, then generates an interactive request collection with stored parameters and examples. It supports testing runs with assertions and it can generate shareable API documentation from that same modeled content. For GraphQL, the editor can manage query and variable inputs alongside documentation so contract changes stay visible to the team.
- +Single workspace ties collections, tests, and documentation to one contract
- +Mock responses support early connector testing without waiting for live APIs
- +Schema-aware request validation reduces integration-time payload mistakes
- +Environment switching keeps staging and production workflows consistent
- –Advanced governance needs careful role design to prevent accidental spec edits
- –Deep observability depends on external logs rather than built-in latency analytics
Payment integration engineers
Test payout and refund flows
Fewer regressions during gateway changes
SMS platform operations
Validate delivery webhooks behavior
Cleaner webhook troubleshooting
Show 2 more scenarios
Email services teams
Coordinate template and send API updates
Faster handoffs between teams
Generate documentation pages from the same request definitions used for validation tests.
API product managers
Review contract changes with stakeholders
Reduced review cycles
Use shared documentation from the modeled spec to review parameter changes and examples.
Best for: Fits when teams need contract-driven request testing and documentation for external payment and messaging APIs.
Hoppscotch
API-firstOpen-source, lightweight API testing suite running in the browser.
OpenAPI import that maps documented operations into interactive requests with environment-aware variables.
Hoppscotch runs as a web-based API client that lets teams compose REST API requests and run them against real backends or a mock setup. It supports OpenAPI import for turning specs into interactive endpoints, plus environment variables for reusing base URLs and headers across requests.
- +OpenAPI import turns a spec into clickable endpoints for faster testing
- +Environment variables let requests reuse base URLs, auth headers, and parameters
- +Shareable request links speed review and troubleshooting across teammates
- +Runs fully in-browser for quick API testing without local tooling
- –Limited governance features compared with enterprise API platforms
- –Complex GraphQL workflows are less guided than dedicated API tooling
- –Authorization coverage is narrower than IAM-first API gateways
- –Large test collections need more structure than built-in organizers
Support engineers
Share reproducible request links
Consistent issue reproduction
Security-focused testers
Validate auth and payload variations
Faster config validation
Show 2 more scenarios
API owners
Import OpenAPI for interactive testing
Faster transition from docs
Teams import an OpenAPI definition and use its operations as starting points for exploratory request execution.
Automation engineers
Run exported checks outside the browser
Reusable terminal-driven testing
Command-line workflows and exported collections enable repeatable HTTP checks without browser-only execution.
Best for: Fits when teams need a fast, browser-based API testing workflow with OpenAPI-driven request building.
Bruno
API-firstOpen-source API client storing collections as plain text files for Git-based workflows.
Collections plus scripted variables let request logic stay centralized while inputs vary by environment.
Bruno targets teams that need to test and manage REST API workflows without tying execution to a single vendor toolchain. It provides a workspace for collections, environments, and repeatable requests with scripted variables, so the same request set can run across development, staging, and production-like settings.
- +Reusable collections keep request sets consistent across environments
- +Scripted variables reduce manual edits when parameters change
- +Built-in test assertions turn API calls into regression checks
- +Portable request artifacts improve repeatability across team workflows
- –Governance controls like RBAC and audit logs are limited for large orgs
- –Advanced gateway-style traffic controls are not a primary focus
Backend API development teams
Run the same tests across environments
Fewer environment-specific failures
QA and automation engineers
Assert responses and generate reusable artifacts
More reliable regression coverage
Show 2 more scenarios
Platform integration teams
Standardize shared request catalogs
Faster onboarding for integrations
Integration teams maintain a common workspace for REST workflows that supports repeat execution across services.
DevOps and release teams
Execute operational REST checks during releases
Safer release go/no-go decisions
Bruno supports automated request sequences to validate API behavior before and after deployments.
Best for: Fits when teams need repeatable API testing and automation from a shared request catalog.
MuleSoft
enterpriseSalesforce integration and API management platform for connecting systems at scale.
An API-led connectivity lifecycle that couples governance and reusable integration assets to managed deployments across environments.
MuleSoft is differentiated by its end-to-end integration workspace for exposing and governing APIs across enterprise systems. It pairs API-led connectivity with strong governance features such as role-based access controls and centralized lifecycle management for connected services.
- +Centralized API governance with RBAC and approval-oriented lifecycle controls
- +Strong automation for creating and deploying integration flows tied to APIs
- +Reusable connectors and templates support consistent API exposure patterns
- +Environment promotion supports controlled releases across dev and production
- –Higher operational overhead than API gateway-only approaches
- –Versioning and contract changes can require disciplined coordination
- –Complex enterprise deployments can slow initial onboarding for API teams
- –Integration flow debugging takes more effort than endpoint-only tooling
API architects
Apply shared contracts and policies
More consistent API exposure
B2B API management teams
Publish partner APIs with lifecycle control
More controlled partner connectivity
Show 2 more scenarios
Integration modernization architects
Expose legacy apps through governed APIs
More manageable access
Legacy applications are connected through governed APIs and reusable integration flows.
Enterprise integration teams
Orchestrate cloud and on-prem interactions
Connected hybrid system workflows
Hybrid workflows coordinate interactions between cloud applications and on-premises services using governed integration flows.
Best for: Fits when enterprises need API publishing plus governed integration orchestration across multiple back-end systems.
Kong
enterpriseOpen-source API gateway and full lifecycle API management platform.
Plugin-driven policy enforcement that standardizes authentication, traffic handling, and rate control at gateway runtime.
Kong is an API gateway product that also ships the configuration and runtime pieces needed to proxy traffic to upstream services. Kong’s core capabilities center on request routing, policy enforcement such as rate limiting, and consistent enforcement via plugins and declarative configuration.
- +Plugin model lets teams add policies without rewriting gateway logic
- +Consistent enforcement across routes reduces duplication across services
- +Strong API documentation and developer workflow support through gateway metadata
- +Operational tooling supports monitoring patterns for upstream latency and errors
- –Complex policy stacks require disciplined change management to avoid regressions
- –Some advanced behaviors need careful tuning for traffic patterns and throughput limits
- –Multi-service governance takes time to standardize across many teams
- –Plugin selection can increase cognitive load during initial rollout
API governance teams
Define services with shared policies
Uniform API exposure
Integration architects
Route mixed backend API types
Shared routing and security
Show 2 more scenarios
Security and API platform teams
Apply throttling and access checks
Consistent API protection
Authentication-related checks, validation, and throttling are enforced at service or route boundaries.
Enterprise infrastructure teams
Deploy gateway policy layer across sites
Common policy across topologies
Gateway components are deployed across cloud and on-premises runtime environments to keep policy enforcement consistent.
Best for: Fits when teams need consistent gateway policies across many microservices and want automation-driven configuration.
Tyk
enterpriseOpen-source API gateway with rate limiting, authentication, and analytics.
Reusable policy configuration in the API gateway lets teams standardize auth and traffic enforcement across APIs.
Tyk is an API gateway and management layer that focuses on policy-driven traffic control plus developer-facing endpoint publishing. Its core capabilities center on gateway configuration for authentication, rate limiting, quota enforcement, and request routing, with support for both REST and GraphQL traffic patterns.
- +Policy-based gateway configuration covers auth, routing, and traffic throttling
- +GraphQL endpoint support fits teams managing mixed REST and GraphQL APIs
- +API documentation portal pairs endpoint publishing with developer-ready artifacts
- +Mock server support enables contract checks before real backend wiring
- –Complex policy graphs increase configuration review and release risk
- –Advanced governance needs careful RBAC and environment separation practices
API operations teams
Inspect usage and policy outcomes
Visibility into API consumption
API product governance teams
Publish and manage API products
Structured publication and lifecycle
Show 2 more scenarios
API designers
Match OpenAPI docs to gateway behavior
Closer spec-to-runtime alignment
Modeled endpoints and OpenAPI documentation are aligned with routing, validation, and gateway policies at runtime.
Backend integration developers
Normalize requests and responses
More consistent traffic formats
Gateway traffic transforms requests and responses to adapt payload formats and reduce extra middleware layers.
Best for: Fits when teams need a configurable API gateway with governance controls and pre-integration testing.
Conclusion
After evaluating 10 api software, Insomnia stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Api Software
API software in this guide covers contract-driven tooling, gateway policy enforcement, and API testing workflows that connect documentation to execution. The tools covered include Apifox, Stoplight, Insomnia, Postman, Swagger, Kong, MuleSoft, Tyk, Hoppscotch, and Bruno.
The evaluation focuses on integration depth across docs, mocks, and tests, plus how each platform exposes its API surface for automation. It also weighs admin and governance controls that matter when teams share collections, publish specs, or enforce traffic at gateway runtime.
API Software for payments, SMS, and email: testing, mocking, and gateway governance
API software coordinates API documentation, request execution, and automation so payment, SMS, and email integrations can be validated without waiting for live dependencies. Contract-first workflows pair an OpenAPI contract with mocks and test runs so teams can keep request shapes consistent across environments.
Apifox and Stoplight both generate mock server behavior from the same modeled API definitions that drive contract testing and docs publishing, which reduces drift during early connector work. Kong, Tyk, and MuleSoft focus more on runtime policy and governed publishing so teams can standardize authentication, routing, and traffic controls across many backend services.
Integration depth, automation surface, and governance controls for API workflows
API software that connects contract definitions to execution reduces drift when payment, SMS, and email integrations change request shapes. Apifox and Stoplight both generate mock servers from the same API definitions used for tests and documentation workflows.
Contract-driven mocking and test execution from the same API definition
Apifox runs a mock server generated from the same modeled API definitions used for tests and docs. Stoplight drives mock server generation and contract testing directly from the OpenAPI contract inside its publishing workflow.
Automation-ready request catalogs with reusable environment variables
Insomnia uses collection-based request templates plus HTTP scripting to run assertions across environments. Bruno keeps request logic centralized with collections and scripted variables so input values can shift per environment.
API documentation workflows that stay aligned with requests and mocks
Swagger uses an OpenAPI spec workflow to generate mocks plus Swagger UI interactive endpoint testing based on request examples defined in the spec. Postman can import OpenAPI to drive mock servers and generate request scaffolding inside collections and environments.
Gateway runtime policy enforcement for authentication and traffic controls
Kong uses plugin-driven policy enforcement to standardize authentication and traffic handling at gateway runtime. Tyk provides reusable policy configuration in the API gateway to standardize auth, routing, and traffic throttling across APIs.
Enterprise governance and lifecycle controls for publishing and deployments
MuleSoft couples API-led connectivity lifecycle governance with reusable integration assets and governed deployments across environments. Apifox and Stoplight remain more centered on contract testing and publishing, while MuleSoft adds lifecycle orchestration across back-end systems.
Mock and test UX tuned for speed versus spec strictness
Hoppscotch maps an imported OpenAPI into interactive requests in a browser, with environment variables for base URLs and auth headers. Swagger emphasizes spec-first workflows, but spec-only mocks do not reflect runtime behavior like dynamic auth or database state.
Choose by where control must live: contract testing, test execution, or gateway enforcement
Different teams place governance at different layers, and that changes which tool’s automation surface matters most. Contract-driven tooling like Apifox and Stoplight reduces request drift by tying mocks and contract tests to modeled API definitions.
Pick contract-first testing when payment and messaging endpoints must stay stable
Choose Apifox when modeled API definitions should generate mocks that match the same definitions used for tests and documentation. Choose Stoplight when OpenAPI publishing should produce contract testing and mocks from the same OpenAPI contract artifact.
Pick test-catalog execution when teams need scripted assertions across environments
Choose Insomnia when request templates plus HTTP scripting are needed to run automated assertions with pre and post steps across environments. Choose Bruno when a shared request catalog must stay consistent while scripted variables swap inputs per environment.
Pick gateway policy enforcement when auth and throttling must apply across microservices
Choose Kong when plugin-based policies must be enforced consistently across routes at gateway runtime. Choose Tyk when teams want a configurable gateway policy model that covers auth, routing, and traffic throttling, including GraphQL endpoint support.
Pick lifecycle governance when APIs and integration flows must be approved and deployed together
Choose MuleSoft when governed publishing and integration orchestration across multiple back-end systems must be coupled to reusable assets. Use MuleSoft when RBAC and approval-oriented lifecycle controls need to govern deployments, not only tests and mocks.
Pick spec-driven docs and interactive endpoint testing when OpenAPI is the system of record
Choose Swagger when the OpenAPI spec should drive documentation, SDK generation, and interactive endpoint testing in Swagger UI. Choose Postman when OpenAPI import should feed mocks and request scaffolding inside collections that also run scripted tests and scheduled monitoring.
Pick browser-first request building when speed matters more than governance depth
Choose Hoppscotch when interactive testing in a browser must build requests from OpenAPI operations while environment variables fill base URLs and auth inputs. Use Hoppscotch when governance features are less critical than fast endpoint discovery and reusable environment-aware requests.
Who benefits from specific API Software workflows for payments, SMS, and email
API teams benefit most when the tool reduces request drift between documentation, mocks, and test runs. Engineering orgs benefit when governance and runtime policy enforcement are placed in the same layer that controls production traffic behavior.
API teams building external payment and messaging connectors that must not drift from the contract
Apifox and Stoplight map the contract to mocks and contract testing so request shapes remain consistent even before live dependencies are ready.
QA and integration engineers who need repeatable test workflows with environment-specific inputs
Insomnia supports environment variables and HTTP scripting for automated assertions, while Bruno centralizes request logic in collections with scripted variables.
Platform teams enforcing authentication and traffic rules across many services
Kong and Tyk provide gateway runtime policy enforcement, and both reduce per-service duplication by standardizing auth and traffic handling via configuration or plugins.
Enterprises that publish APIs while orchestrating governed integration flows across multiple back-end systems
MuleSoft couples governance and reusable integration assets to managed deployments across environments with RBAC and lifecycle controls.
Developers who need quick API exploration from an OpenAPI spec without heavy setup
Hoppscotch turns imported OpenAPI operations into interactive browser requests with environment variables, and Swagger offers interactive endpoint testing driven by request examples in the spec.
Common pitfalls when selecting API Software for connector testing and gateway governance
Teams often misalign test automation with where production control actually happens. Others pick spec-first tooling but assume spec mocks cover runtime behavior like dynamic authorization or database state.
Treating spec-only mocks as substitutes for runtime behavior checks
Swagger spec-only mocks do not reflect runtime behavior like dynamic auth or database state, so runtime validation still requires live tests or gateway-level checks.
Selecting a testing tool and then expecting gateway-style throttling and quota enforcement
Insomnia does not provide native backend traffic enforcement like quotas or throttling, so traffic control must come from a gateway such as Kong or Tyk.
Scaling collaborative contract editing without designing role separation for spec governance
Apifox advanced governance needs careful role design to prevent accidental spec edits, and Stoplight governance across many teams depends heavily on workspace and review process design.
Building oversized request collections that slow down end-to-end monitoring runs
Postman can slow down when large suites rely on many chained requests, so collection structure needs to minimize unnecessary dependency chains.
Assuming gateway policy configuration stays low risk without disciplined change management
Kong plugin stacks and Tyk policy graphs increase review complexity, so release processes must include configuration review and regression coverage.
How We Selected and Ranked These Tools
We evaluated API tools by integration depth across docs, mocks, and tests, and each tool’s ability to expose that workflow for automation shaped the feature scoring. We weighted automation and API surface at 40% because payment, SMS, and email validation depends on repeatable request execution and contract-aligned mocking.
We weighted features at 30% and ease and value at 30% to separate full contract workflows like Apifox and Stoplight from test-focused tools like Insomnia and Bruno and gateway enforcement tools like Kong and Tyk. Apifox ranked highest because its mock server execution is generated from the same modeled API definitions used for tests and documentation, which reduces contract drift during connector development.
Frequently Asked Questions About Api Software
How do Apifox and Stoplight differ for contract-driven testing and generated documentation?
Which tool is better for API testing workflows that must run with predefined collections and environments?
What breaks if a team uses a mock server that is not generated from the same API contract as the tests?
How do gateway-focused tools like Kong and Tyk handle authentication and traffic enforcement compared with client tools?
When should a team use an OpenAPI editor workflow like Swagger Editor or Stoplight instead of only a request client?
How do mock environments in Apifox and Swagger support pre-integration testing for payments and messaging APIs?
Which approach fits when system-to-system orchestration and governed integration assets are required alongside API publishing?
How do Hoppscotch and Insomnia handle environment reuse and request repeatability during API testing?
What tradeoff appears when choosing a configuration-first gateway like Tyk over a plugin-driven gateway like Kong?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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