GITNUXSOFTWARE REVIEW
MediaTop 9 Best Video Broadcasting Software of 2026
Compare video broadcasting software options for live streaming, using ManyCam as an example, and weigh tradeoffs for teams.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Search agents gather the source set and the review record, including transcriptions of video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
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ManyCam is the best fit for small streaming teams that need quick scene-based live switching and RTMP publishing, since its overlay-heavy production workflow keeps changes fast and operator-friendly without a heavy server stack, while Switcher Studio suits iOS operators who want repeatable scene presets with consistent on-air overlays for live playout.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
ManyCam
Scene layering with live visual overlays and operator-friendly switching for production-style streaming feeds.
Best for: Fits when small streaming teams need fast live scene switching and RTMP publishing without a full streaming server stack.
Castr
Editor pickChannel-level publishing and replay controls combined with API-driven broadcast management in one operational model.
Best for: Fits when streaming teams need managed live publishing with automation-friendly broadcast management.
Switcher Studio
Editor pickScene presets with operator cues for overlays and transitions during live playout.
Best for: Fits when studio operators need fast switching and consistent overlays across live endpoints.
Comparison Table
ManyCam
SMBLive video software with virtual camera, multiple video sources, effects, and streaming output.
Scene layering with live visual overlays and operator-friendly switching for production-style streaming feeds.
ManyCam turns a capture source into a broadcast feed by mixing live inputs, applying effects, and routing the result to streaming destinations. It supports common ingest and output workflows for live streaming, including RTMP publishing and SRT contribution patterns used in managed pipelines.
ManyCam also supports device inputs like webcam and SDI-class capture via external hardware, plus overlays and multi-scene switching for on-air production. Admin-friendly control centers around organizing scenes, sources, and streaming profiles for repeatable operator workflows.
- +Scene-based live mixing with overlays and transitions for quick production changes
- +Multi-source input handling supports webcam and external capture devices in one graph
- +Operator workflows reuse streaming profiles to reduce repeated setup
- +Reliable RTMP publishing fits typical broadcast endpoints
- –Limited native CDN and ABR ladder controls compared with streaming-focused servers
- –Automation surface for provisioning and policy controls is thin for enterprise governance
- –SRT contribution requires careful pipeline alignment with external systems
- –Advanced studio-grade switching and monitoring require additional tooling
Video creators and marketing teams
Record walkthroughs with branded scene overlays
Finished recording needs less editing
Small broadcast and streaming teams
Compose effects and publish via RTMP
Mixed program is ready to publish
Show 2 more scenarios
Remote presenters and business teams
Deliver consistent camera feeds to meetings
Composed camera feed for calls
Presenters create camera scenes with overlays and backgrounds so conferencing applications receive a composed feed.
Streamers and content creators
Switch between sources during live broadcasts
Repeatable live scenes
Creators switch cameras, screens, overlays, and effects while sending a composed feed to a streaming destination.
Best for: Fits when small streaming teams need fast live scene switching and RTMP publishing without a full streaming server stack.
Castr
SMBCloud live streaming platform with multistreaming, hosting, and embedding tools.
Channel-level publishing and replay controls combined with API-driven broadcast management in one operational model.
Castr is a video broadcasting software for live streaming workflows that combine publishing, monetization, and player delivery under one operator interface. The tool supports common ingest to viewing paths for RTMP-based sources, plus HLS delivery for broad playback compatibility.
Castr also includes channel controls like stream publishing rules, replay behavior, and basic analytics so operators can manage output without separate tooling. Automation is available through developer-facing endpoints for creating and managing live broadcasts and related assets.
- +HLS delivery targets wide client compatibility for low-effort playback
- +Operational UI keeps stream lifecycle, schedules, and player settings in one place
- +Developer endpoints support broadcast and asset management automation
- +Replay and publishing controls reduce manual operational steps
- –Advanced origin and edge routing controls are limited compared with CDN-first stacks
- –Deep transcoding and ABR ladder tuning is not granular enough for some engineering teams
Marketing teams and content publishers
Publish events with consistent web players
Live and replay are web-ready
Church media teams and volunteers
Broadcast recurring services with replay archive
Weekly broadcast plus replay archive
Show 2 more scenarios
Small broadcasters and internet TV operators
Run a managed web TV channel
Channel runs without delivery buildout
Operators combine encoder ingest, hosted playback, scheduling, and channel-style publishing for web viewing.
Schools and instructor education teams
Schedule live lessons with hosted playback
More consistent lesson delivery
Education teams schedule recurring sessions and provide hosted playback for viewers who miss the live event.
Best for: Fits when streaming teams need managed live publishing with automation-friendly broadcast management.
Switcher Studio
vertical specialistiOS-based multi-camera live streaming and video production app.
Scene presets with operator cues for overlays and transitions during live playout.
Switcher Studio fits teams that need a controllable on-air operator surface for live production and distribution. It provides a scene-based switcher with source management, lower-third and overlay control, and programmable transitions for recurring formats. Output configuration is oriented around publishing targets, with stream monitoring focused on operational status instead of engineering-grade analytics.
The tradeoff is limited low-level control of packaging, bitrate ladder construction, and downstream CDN steering compared with engineer-centric streaming systems. It works well for live studios and remote production operators who need consistent graphics and switching while relying on an external streaming pipeline for advanced delivery requirements. A common situation is a small broadcast team running a repeatable show across multiple endpoints with tight run-of-show discipline.
- +Scene and overlay workflow keeps on-air changes repeatable
- +Input handling supports SDI capture and NDI ingestion paths
- +Multi-output publishing can be controlled from one switcher operator view
- +Transitions and graphics cues reduce reliance on manual timing
- –Limited control over advanced delivery settings and packaging choices
- –Transcoding and ABR ladder tuning are not designed for deep engineering workflows
- –Automation and provisioning options are lighter than server-side broadcasting stacks
- –Stream health visibility favors operator status over detailed engineering metrics
Live production switchers teams
Run-of-show switching for branded broadcasts
Fewer on-air mistakes
Studios using IP video
NDI-based input into consistent playout
Faster integration
Show 2 more scenarios
Remote interview productions
Overlay graphics across repeatable formats
More uniform show look
Configured graphics layers stay consistent across sessions while sources change.
Small broadcast engineering teams
Single operator view for multiple endpoints
Simplified operations
One workflow handles output selection while external systems handle delivery complexity.
Best for: Fits when studio operators need fast switching and consistent overlays across live endpoints.
Ant Media Server
enterpriseSelf-hosted streaming server with ultra-low-latency WebRTC and adaptive bitrate streaming.
Integrated WebRTC ingest with end-to-end server-side recording and transcoding controlled through the same streaming workflow.
Ant Media Server is designed for teams that need low-latency delivery options and also want server-side processing steps they can automate. The server provides mechanisms for publishing ingest streams and managing playback variants, which reduces the need to stitch multiple systems for basic broadcasting workflows. Monitoring and management features support operational checks across concurrent streams and transcoding jobs.
- +WebRTC-centric ingest path with server-managed session handling
- +Server-side transcoding and recording workflows from one runtime
- +Operational APIs for stream lifecycle and health visibility
- +Multi-client delivery variants without separate playout software
- –Complex configuration when mixing multiple delivery outputs
- –Operational overhead increases with high-concurrency transcoding
- –Advanced deployments require careful capacity planning and tuning
- –Some enterprise governance needs depend on external integration
Streaming engineers
Build low-latency live playback pipeline
Lower integration complexity
Media operations teams
Record and repackage live events
Faster post-event publishing
Show 2 more scenarios
Developers
Automate stream provisioning via APIs
Repeatable event setup
Developers can drive stream lifecycle actions through management endpoints for scripted deployments.
Live production teams
Run multi-output broadcasting from one origin
Consistent client experience
Producers can manage multiple playback targets without maintaining separate streaming stacks for each client type.
Best for: Fits when streaming engineers need one self-hosted server for ingest, processing, and operational automation.
Wowza Streaming Engine
enterpriseSelf-hosted streaming server software supporting RTMP, HLS, WebRTC, and SRT protocols.
Java-based module framework that enables bespoke streaming behaviors inside the engine.
Wowza Streaming Engine is a media server that can run as an origin for live streaming workflows and also as an edge component in multi-hop deployments. It provides server-side transcoding profiles, packaging outputs, and stream management features designed for long-running live sessions and high concurrency. Monitoring and diagnostics focus on stream state and delivery metrics, which reduces time spent correlating ingest issues with playback symptoms.
- +Java module extensibility for custom ingest and delivery logic
- +Config-driven transcoding and packaging for repeatable ABR ladders
- +Operational telemetry for stream state and delivery performance triage
- +Supports multiple ingest and delivery protocol paths within one engine
- –Automation requires engineering discipline across configuration and rollout
- –Complex workflows can increase operational overhead during incident response
- –Advanced tuning needs deeper media knowledge than simpler publishers
- –Some ecosystems rely on companion components for full lifecycle orchestration
Live streaming engineering teams
Custom ingest to packaged delivery pipeline
Fewer pipeline forks
Enterprise media operations
Repeatable ABR outputs with controlled changes
Stable viewer quality
Show 1 more scenario
On-prem infrastructure teams
Self-hosted origin with monitoring
Faster incident triage
Teams run the engine in controlled networks and track stream health from server telemetry.
Best for: Fits when streaming teams need custom processing and repeatable HLS packaging control.
Evmux
SMBBrowser-based live streaming studio with pre-show preparation, scene management, and multi-platform output.
Broadcast orchestration that ties stream start and stop events to configured outputs for predictable playout behavior.
Evmux provides a live broadcast workflow layer that connects ingest endpoints to configured outputs.
- +Repeatable live workflows with clear publishing configuration per output
- +Automation hooks for starting and stopping broadcasts during productions
- +Stream health visibility for diagnosing failures during live runs
- +Consistent behavior across multi-output deployments
- –Less direct control over encoder-level tuning compared with encoder-centric stacks
- –Workflow changes can require careful configuration to avoid output misalignment
- –Advanced delivery scenarios need more setup than typical viewer streaming stacks
- –Integration depth varies by deployment shape and chosen ingest path
Videocast teams and show hosts
Run panel broadcasts from browser show control
Consistent panel format
Studios and live event producers
Switch multiple camera feeds for program output
Coordinated multi-camera program feed
Show 2 more scenarios
Event production teams
Control PTZ sources with live switching
Centralized camera source operation
Teams combine source-managed camera handling with live switching and supported camera control workflows.
Small production teams
Recall scenes and routing for repeated episodes
Repeatable setup with fewer edits
Teams reuse scene, overlays, and routing configurations across episodes to reduce manual setup changes.
Best for: Fits when streaming teams need repeatable live publishing workflows across many events.
Lightstream
SMBCloud-based live streaming studio with scene control, guest invites, and console stream integration.
Config-driven live pipeline orchestration for producing consistent multi-rendition output across channels.
Lightstream targets teams that need controlled live video ingest, routing, and playout from existing encoders. It supports common delivery endpoints such as HLS and WebRTC, plus configurable transcoding workflows for ABR ladders and multi-rendition output.
- +Transcoding workflows produce multiple renditions with consistent ABR behavior
- +HLS and WebRTC outputs cover common low-latency and scale needs
- +Operational diagnostics help isolate ingest, encode, and delivery failures
- +Configuration supports repeatable live pipeline setups across channels
- –Advanced live customization depends on configuration depth rather than UI-first controls
- –Complex multi-variant layouts take careful tuning of encoding settings
- –Automation coverage is strong for core routing but limited for niche custom steps
- –Troubleshooting requires familiarity with stream states and pipeline logs
Broadcasters and social video teams
Publish one program stream to multiple destinations
Multiple endpoints from one stream
Channel operators and broadcast teams
Run timeline-driven scheduled channel events
More consistent channel playout
Show 2 more scenarios
Small studios and event teams
Produce camera and microphone sessions for live distribution
Repeatable live camera-based production
Teams manage camera ingest, microphone audio, scene composition, and publishing for live video sessions.
Game streamers and esports crews
Cast games with cameras, overlays, and transitions
Structured game-focused broadcast
Streamers and commentators assemble game feeds, cameras, overlays, and transitions in structured live layouts.
Best for: Fits when streaming engineers need repeatable ingest-to-playout configuration with HLS and WebRTC outputs.
SplitCam
SMBWebcam splitting and live streaming software with effects, multi-source mixing, and streaming output.
Virtual camera plus multi-destination routing from mixed inputs for direct use in existing streaming apps.
SplitCam is a video broadcasting tool used to capture one or more inputs and distribute the same feed to multiple destinations with per-destination controls. It supports virtual camera output so standard apps can treat SplitCam as a selectable source, which reduces integration friction for encoder or conferencing workflows.
- +Virtual camera output fits into existing encoders and conferencing apps
- +Multi-output routing lets one capture feed stream to several destinations
- +Input mixing supports common real-time sources like cameras and screen capture
- +Low setup effort for ad hoc broadcasts and internal demos
- –Governance features like RBAC and audit logs are not a core focus
- –Advanced encoding control and ABR ladder management are limited
Streamers, performers, and presenters
Overlay branded graphics during a live send
Branded visuals in outgoing feed
Solo creators and consumers
Record webcam scenes with effects and overlays
Reviewable recording from one scene
Show 2 more scenarios
Creators and solo video operators
Switch between multiple cameras in one broadcast
Multiple camera views from one setup
Operators combine and switch between camera sources using a single live scene setup for performance or broadcast.
Remote workers and meeting presenters
Share one processed virtual camera feed
Consistent source across apps
Users create a processed virtual camera so multiple meeting, recording, or streaming applications can select it.
Best for: Fits when teams need quick multi-destination broadcasts from standard capture sources.
Flussonic
enterpriseStreaming server software for live video transcoding, recording, and distribution.
Built-in DVR recording and time-shift playback from the same streaming workflow without a separate recorder stack.
Flussonic focuses on live video ingestion and playout with a configuration-first workflow aimed at streaming engineers. Core capabilities include managing RTSP and RTMP inputs, producing HLS output for distribution, and running server-side transcoding with controllable profiles.
- +Server-side transcoding profiles reduce external transcode hops
- +Integrated DVR recording supports rewind-style viewer experiences
- +RTSP and RTMP input support fits mixed encoder fleets
- +Clear stream configuration supports repeatable deployments
- –WebRTC and DRM packaging require careful workflow planning
- –Advanced automation needs API-driven operations rather than UI-only changes
Broadcast operators and channel managers
Run always-on channel playout schedules
Repeatable channel programming runs
Media publishers and streaming teams
Convert live feeds into reusable VOD assets
Real-time plus later on-demand access
Show 2 more scenarios
OTT and multiscreen delivery teams
Serve adaptive bitrates for different devices
One source serves mixed conditions
Teams create multiple bitrate outputs so audiences using varied networks and devices receive appropriate delivery.
Surveillance operators and network engineers
Relay RTSP cameras into HTTP playback
IP sources distributed to more clients
Operators relay RTSP sources and convert them into HTTP playback formats for operational viewing across clients.
Best for: Fits when engineering teams need repeatable live ingest-to-playout configs with on-server recording and transcoding.
Conclusion
After evaluating 9 video broadcasting software, ManyCam 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 Video Broadcasting Software
This buyer's guide covers video broadcasting software used for live ingest, processing, and delivery workflows, with an emphasis on engineering tradeoffs across Wowza Streaming Engine, Ant Media Server, and Red5 Pro alternatives highlighted by the category set. The tool list also includes Switcher Studio, Castr, ManyCam, Lightstream, SplitCam, Evmux, and Flussonic to cover both encoder-centric and operator-centric paths.
The sections that follow translate product capabilities into operational choices around extensibility, automation surfaces, and repeatable streaming configuration. Each tool is grounded in concrete mechanisms like module extensibility in Wowza Streaming Engine, WebRTC ingest plus server-side recording in Ant Media Server, and server-side DVR playback in Flussonic.
Video Broadcasting Software for orchestrating live ingest, processing, and playout
Video broadcasting software coordinates the full live path from capture or contribution to delivery targets, including ingest handling, transcoding, packaging, and playout control for viewers. Teams use these systems to standardize ABR behavior, reduce manual on-air changes, and keep stream state consistent during go-live and stop events.
Wowza Streaming Engine targets streaming engineers that need Java module extensibility inside the engine and repeatable HLS packaging control driven by configuration. Ant Media Server focuses on a WebRTC-centric ingest path paired with server-side recording and transcoding workflows controlled through one runtime.
Engineering criteria for Video Broadcasting Software
Video broadcasting software must keep ingest, processing, and playout consistent so operational changes do not break stream health during go-live. The tools below separate that capability into configuration repeatability, automation surface, and extensibility inside the streaming runtime.
Extensibility inside the streaming runtime
Wowza Streaming Engine adds Java module extensibility so custom ingest and delivery logic can run inside the engine with config-driven transcoding and packaging for repeatable ABR ladders. This depth is aimed at teams that treat the engine as an extensible platform rather than a fixed pipeline.
Server-side automation for ingest to output lifecycle
Evmux ties stream start and stop events to configured outputs so broadcast workflows stay predictable across repeated live events. Castr (castr.io) also exposes channel and stream management APIs that let systems provision broadcasters and automate go-live behavior.
WebRTC-first ingest with integrated recording and transcoding
Ant Media Server uses an integrated WebRTC ingest path with server-managed session handling and then performs server-side recording and transcoding from the same runtime. This design targets unified operational control of real-time sessions and post-event workflows.
Operator-driven scene and overlay repeatability for live playout
Switcher Studio uses scene presets with operator cues for overlays and transitions so on-air changes follow a repeatable sequence across live endpoints. ManyCam focuses on scene layering and operator-friendly switching with multi-source input handling so a small production team can produce stream graphics without a server-centric workflow.
Repeatable multi-rendition pipeline configuration
Lightstream uses config-driven live pipeline orchestration to produce consistent multi-rendition output across channels with both HLS and WebRTC outputs. Wowza Streaming Engine also supports config-driven transcoding and packaging, but its Java module extensibility makes it the more engineering-extensible option.
Integrated DVR and time-shift inside the broadcast workflow
Flussonic includes built-in DVR recording and time-shift playback from the same streaming workflow so viewers can rewind without a separate recorder stack. This approach pairs with server-side transcoding profiles to reduce external transcode hops compared with workflows that split recording and delivery into separate components.
Channel-level publishing controls and API-driven broadcast management
Castr (castr.com) combines channel-level publishing and replay controls with API-driven broadcast management in one operational model. This setup is designed for managing stream lifecycle, schedules, and player settings in a single UI plus API surface.
How to choose Video Broadcasting Software for a streaming team
Choice should start with where control must live. Engineering-extensible servers prioritize runtime customization, while operator-first tools prioritize repeatable scenes and overlays under live production pressure.
Pick a control philosophy: engine-centric extensibility vs UI-centric operations
If custom ingest or delivery logic must be implemented inside the runtime, Wowza Streaming Engine is the primary fit because it supports Java module extensibility and config-driven transcoding and packaging. If the workflow must be operated via repeatable scenes and operator cues, Switcher Studio fits better with scene and overlay workflow designed to keep on-air changes repeatable.
Decide where automation must connect: API-first provisioning vs manual go-live with operator cues
If systems need to provision broadcasters and automate go-live behavior through programmatic lifecycle control, Castr (castr.io) provides channel and stream management APIs tied to stream lifecycle and channel configuration. If the process needs operator-driven transitions with overlay cues, Switcher Studio emphasizes repeatable scene workflows rather than deep delivery packaging control.
Match the ingest and session model to the product architecture
If WebRTC ingest is the default entry point and server-side recording and transcoding must run from one runtime, Ant Media Server is built around a WebRTC-centric ingest path with server-managed sessions. If repeatable live publishing flows across many events matter more than encoder-level tuning, Evmux focuses on start and stop events tied to configured outputs.
Select the output shape requirements: multi-rendition consistency vs advanced tuning depth
If multi-rendition behavior must be consistent through configuration-driven orchestration, Lightstream targets that with a pipeline that produces multiple renditions with consistent ABR behavior and offers HLS and WebRTC outputs. If fine-grained ABR ladder tuning and packaging control must be repeated via configuration and custom logic, Wowza Streaming Engine is positioned around config-driven transcoding and packaging plus Java module extensibility.
Choose replay expectations: integrated DVR vs replay via publishing controls
If the broadcast workflow must include rewind-style viewer experiences with on-server recording and time-shift playback, Flussonic provides built-in DVR from the same workflow. If replay is primarily a publishing control problem with lifecycle and schedules managed through UI and API, Castr (castr.com) combines replay controls with API-driven broadcast management.
Who Video Broadcasting Software fits best
Different teams need different control points. Some teams need extensibility and repeatable engineering configuration, while others need operator-driven live switching and overlays or API-driven publishing automation.
Streaming engineers who must extend runtime behavior
Wowza Streaming Engine fits teams that need custom processing and repeatable HLS packaging control because it offers Java module extensibility and config-driven transcoding and packaging.
Streaming engineers running WebRTC ingest and post-event workflows
Ant Media Server fits teams that want one self-hosted server for ingest, processing, and operational automation because it combines WebRTC-centric ingest with server-side recording and transcoding in the same runtime.
Live studio operators managing on-air scenes and overlays
Switcher Studio fits live production teams that need fast switching and consistent overlays because it uses scene presets with operator cues for overlays and transitions during live playout.
Teams automating broadcast lifecycle across events and destinations
Evmux fits organizations that need repeatable live publishing workflows across many events because it ties stream start and stop events to configured outputs with automation hooks for live operations.
Small broadcast teams needing multi-source mixing without a server stack
ManyCam fits small streaming teams that need scene layering with operator-friendly switching because it supports multi-source inputs and produces a ready-to-use stream feed for standard encoders and RTMP publishing.
Common pitfalls when buying Video Broadcasting Software
Misalignment between operational workflow and the product’s control surface causes avoidable incident work and delayed go-live changes. The mistakes below come from specific capability gaps and configuration tradeoffs visible across the listed tools.
Choosing an operator-first workflow when the team needs encoder-level tuning depth
Switcher Studio limits advanced delivery settings and packaging choices compared with streaming-focused servers, which can block fine-tuned ABR and packaging iteration during incidents.
Underestimating the configuration discipline required by API-driven broadcast management
Castr (castr.io) requires configuration discipline to keep stream states consistent via API, which matters when multiple systems provision channels and trigger go-live automation.
Assuming WebRTC and replay workflows are decoupled
Flussonic requires careful workflow planning for WebRTC and DRM packaging, and its DVR capability depends on aligning recording and delivery behavior in the same streaming workflow.
Treating complex multi-output transcoding as a low-ops setup
Ant Media Server increases operational overhead when using high-concurrency transcoding, so mixed delivery outputs can require extra operational planning beyond basic WebRTC ingest.
How We Selected and Ranked These Tools
We evaluated each tool for engineering control depth across ingest, processing, packaging, and playout because video broadcasting software must keep stream behavior stable under live changes. Features accounted for 40% of the score and ease and value each accounted for 30% because teams need repeatable configuration as well as manageable operations.
Wowza Streaming Engine earned the highest placement because Java module extensibility enables bespoke streaming behaviors inside the engine while config-driven transcoding and packaging support repeatable HLS delivery and ABR ladder behavior. The ranking also reflects operational tradeoffs where automation requires engineering discipline for advanced configurations in Wowza Streaming Engine.
Frequently Asked Questions About Video Broadcasting Software
How does Wowza Streaming Engine fit streaming engineers who need configurable HLS packaging and protocol routing?
Which tools support SDI or NDI input without building a custom capture pipeline?
When is Ant Media Server a better fit than a typical RTMP-to-HLS workflow for real-time WebRTC ingest and server-side recording?
What breaks if a live team needs multi-rendition HLS and WebRTC output from the same config-driven pipeline?
How do Castr and Flussonic handle stream lifecycle automation when broadcasting starts and stops frequently?
Which solution choices reduce integration work when existing apps can only ingest a single camera source?
What security and access controls tend to differ across engineering-focused broadcast servers like Red5 Pro, Wowza, and Ant Media Server?
How does Evmux support repeatable live publishing across many events with the same operational pattern?
When do operator workflow tools like ManyCam and Switcher Studio become a bottleneck compared with streaming-engine tools?
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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