Commissioned Research
Top 9 Best Instrument Control Software of 2026

GITNUXSOFTWARE REVIEW

Manufacturing Engineering

Top 9 Best Instrument Control Software of 2026

Roundup of top instrument control software tools and how they fit workflows, with editor notes to help teams shortlist options.

19 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

AI search agents find sources, extract figures with provenance, and aggregate written reviews. They also transcribe video reviews and podcasts.

Read our full methodology →

Framework: Features 40% · Ease 30% · Value 30%

Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy

Instrument control software sits between test hardware and measurement workflows, handling sequencing, device control, and structured data capture. This comparison helps analysts and operators weigh integration paths, automation patterns, and extensibility choices across platforms so instrument orchestration, throughput, and data model consistency align with a lab’s setup and governance needs.

OpenTAP is the best pick for test teams that need repeatable instrument control workflows with driver reuse because its instrument simulation mode lets you run end-to-end behavior before touching hardware, while WaveForms is the better alternative for labs standardizing on Digilent since it streamlines repeatable oscilloscope and DAQ runs with measurement templates.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

OpenTAP

Instrument simulation mode lets test workflows run end to end with driver-level behavior before hardware deployment.

Best for: Fits when test teams need repeatable instrument control workflows with driver reuse across mixed lab hardware.

2

WaveForms

Editor pick

Digilent-focused device integration with measurement setup templates that simplify repeatable oscilloscope and DAQ test execution.

Best for: Fits when a lab standardizes on Digilent instruments and needs scripted, repeatable acquisition runs.

3

PicoScope 7

Editor pick

Device-specific measurement modes and calibration-aware configuration tightly track Pico oscilloscope capabilities during automated acquisitions.

Best for: Fits when lab teams need repeatable oscilloscope capture runs with close hardware coupling.

Comparison Table

1
OpenTAPBest overall
API-first
9.3/10
Overall
2
vertical specialist
8.8/10
Overall
3
vertical specialist
8.6/10
Overall
4
enterprise
8.5/10
Overall
5
vertical specialist
8.2/10
Overall
6
vertical specialist
7.7/10
Overall
7
vertical specialist
7.5/10
Overall
8
7.1/10
Overall
9
6.8/10
Overall
#1

OpenTAP

API-first

Open test automation framework that orchestrates instrument control, sequencing, and result handling.

9.3/10
Overall
Features9.3/10
Ease of Use9.5/10
Value9.1/10
Standout feature

Instrument simulation mode lets test workflows run end to end with driver-level behavior before hardware deployment.

OpenTAP is instrumentation control software focused on test automation with a workflow runtime that can drive real instruments through instrument driver layers. It supports model-driven test execution with reusable components and structured steps for measurement automation, data capture, and pass fail logic.

OpenTAP also includes scripting and extensibility hooks for custom instrument control, protocol handling, and bench test orchestration. The result is strong integration depth for labs and test teams that need automation across heterogeneous device connections.

Pros
  • +Workflow engine coordinates multi-instrument test sequences with deterministic step execution
  • +Extensible instrument driver model supports reusable device control components
  • +Structured results and logging are built into the test execution lifecycle
  • +Supports an instrument simulation path to validate sequences without connected hardware
Cons
  • –Advanced instrument connection and driver setup can require engineering time
  • –Distributed orchestration needs careful topology design for throughput and timing
  • –Deep customization of driver behavior can increase maintenance across lab revisions
  • –Some integration paths depend on available driver coverage for specific instrument brands
Use scenarios
  • Hardware validation engineers

    Automate repeatable bench test sequences

    Consistent execution and logged results

  • Instrumentation developers

    Integrate new or changing instruments

    Reusable workflows for custom devices

Show 2 more scenarios
  • Embedded systems test engineers

    Coordinate hardware-in-the-loop instrument control

    Step-linked repeatable validations

    Control instruments and link results to automated step logic for repeatable system validation.

  • Electrical test engineers

    Sequence multimeter measurements and checks

    Repeatable multimeter test records

    Execute multimeter command flows through drivers and reusable measurement steps with pass fail logic.

Best for: Fits when test teams need repeatable instrument control workflows with driver reuse across mixed lab hardware.

#2

WaveForms

vertical specialist

Instrument control software for Digilent test and measurement devices including oscilloscopes, generators, and analyzers.

8.8/10
Overall
Features8.8/10
Ease of Use8.8/10
Value8.8/10
Standout feature

Digilent-focused device integration with measurement setup templates that simplify repeatable oscilloscope and DAQ test execution.

WaveForms from Digilent fits labs that need instrument control around Digilent hardware and repeatable measurement workflows. The software provides a unified workspace for connecting instruments via Digilent drivers, configuring acquisition parameters, and running automated acquisition and processing chains.

WaveForms also supports scripting for repeatable test runs, so instrument setup and data capture can be packaged into repeatable sequences. The tool’s scope is strongest for bench-top measurements and Digilent device integration rather than broad middleware-style driver coverage across vendors.

Pros
  • +Tight integration with Digilent oscilloscopes and DAQ devices
  • +Scripting supports repeatable acquisition and processing sequences
  • +Built-in trigger and acquisition configuration for common bench workflows
  • +Project-style organization helps keep measurement setups consistent
Cons
  • –Narrower instrument-driver reach than SCPI-first control suites
  • –Advanced test orchestration across many heterogeneous instruments is limited
  • –Data export and handoff features require additional glue for custom pipelines
  • –Automation depth depends on supported scripting hooks rather than full API parity
Use scenarios
  • Hardware validation engineers

    Inspect digital timing with logic tools

    Unified timing and signal view

  • Digital interface troubleshooters

    Debug protocol activity during failures

    Actionable protocol traces

Show 2 more scenarios
  • Lab test technicians

    Play staged waveform sequences on devices

    Repeatable stimulus runs

    Arrange ordered waveform segments to run repeatable stimulus tests on compatible Digilent hardware.

  • Bench electronics engineers

    Capture triggered signals for debugging

    Clear signal behavior evidence

    Record triggered waveforms and review timing plus measurement readouts during bench debugging.

Best for: Fits when a lab standardizes on Digilent instruments and needs scripted, repeatable acquisition runs.

#3

PicoScope 7

vertical specialist

Oscilloscope software that controls PicoScope hardware and provides capture, decoding, and analysis tools.

8.6/10
Overall
Features8.6/10
Ease of Use8.6/10
Value8.6/10
Standout feature

Device-specific measurement modes and calibration-aware configuration tightly track Pico oscilloscope capabilities during automated acquisitions.

PicoScope 7 controls Pico Technology oscilloscopes and data acquisition devices with a measurement-focused instrument control workflow built around Pico’s driver stack. It provides live acquisition, triggering, and protocol-style instrument operation for bench debugging and test sequence execution.

Built-in automation hooks support repeat runs and scripting of acquisition settings so measurement runs stay consistent. The software also emphasizes device-specific calibration and measurement modes so instrument configuration maps closely to Pico hardware capabilities.

Pros
  • +Hardware-first control paths for Pico oscilloscopes and digitizers
  • +Consistent acquisition setup via repeatable measurement modes
  • +Scripting support for automating acquisition configuration and runs
  • +Strong trigger handling aligned with Pico device capabilities
Cons
  • –Primarily focused on Pico hardware, limiting multi-vendor instrument coverage
  • –Advanced automation needs extra scripting discipline to avoid setup drift
  • –No broad SCPI instrument layering for non-Pico devices
  • –Automation depth depends on the connected device feature set
Use scenarios
  • Automation engineers and research labs

    Run repeatable captures via scripted SCPI control

    Less manual instrument operation

  • Engineering teams and technical analysts

    Export waveforms, traces, and IQ data

    Reusable datasets for traceability

Show 2 more scenarios
  • Embedded developers and hardware engineers

    Capture waveforms and correlate serial transactions

    Faster communication problem isolation

    Developers record digital channels and align supported serial protocol activity with signal timing.

  • Validation teams and test engineers

    Automate regression checks with mask testing

    Consistent test records

    Teams combine saved setups, automated measurements, exports, and scripts for repeated pass-fail verification.

Best for: Fits when lab teams need repeatable oscilloscope capture runs with close hardware coupling.

#4

LabVIEW

enterprise

Graphical system design software used for instrument control, test automation, and data acquisition.

8.5/10
Overall
Features8.5/10
Ease of Use8.5/10
Value8.5/10
Standout feature

LabVIEW built-in instrument driver workflow with device communication encapsulated into reusable graphical components.

LabVIEW from ni.com is a graphical instrument-control environment built around hardware- and driver-layer abstractions and repeatable test workflows. It supports acquisition and control using vendor I/O interfaces, instrument driver modules, and reusable code patterns for measurement automation.

Pros
  • +Graphical dataflow maps naturally to trigger and sequencing logic in instrument control
  • +Driver-oriented instrument integration reduces custom protocol work for common NI setups
  • +Built-in deployment targets support moving from development to installed test stations
  • +Rich interop to C and .NET eases integration with external systems and UIs
Cons
  • –Non-NI instrument stacks often need extra drivers or wrappers
  • –Scaling many test assets requires stronger project governance to prevent UI and VI sprawl
  • –Automation of headless execution depends on architecture decisions made early
  • –Complex synchronization across heterogeneous devices can take substantial tuning
Use scenarios
  • Laboratory automation teams

    Build operator apps for bench instruments

    Repeatable instrument procedures

  • Manufacturing test engineers

    Run hardware tests with pass fail limits

    More repeatable test runs

Show 2 more scenarios
  • Controls and instrumentation engineers

    Implement sensor buffering and real-time loops

    Responsive measurement control

    Capture sensor data with deterministic sampling and coordinate signal processing with control logic.

  • PXI test system architects

    Coordinate synchronized modular acquisition

    Hardware-timed modular behavior

    Control PXI and modular hardware for synchronized timing, switching, and device sequencing.

Best for: Fits when teams need visual measurement automation that deploys onto instrument-connected test stations.

#5

DewesoftX

vertical specialist

Measurement and control software for data acquisition systems, analyzers, and connected instruments.

8.2/10
Overall
Features8.2/10
Ease of Use8.3/10
Value8.1/10
Standout feature

Dewesoft’s synchronized acquisition, live analysis, replay, and reporting operate from one measurement configuration.

DewesoftX combines channel configuration, recording, visualization, analysis, and report generation in a single measurement environment. It stores raw and processed channels together, supports replay of recorded data, and provides modules for FFT, order tracking, acoustics, statistics, and structural testing. CAN, XCP, Ethernet, serial, and third-party device integrations extend coverage beyond Dewesoft hardware.

Pros
  • +Hardware-synchronized acquisition across high channel counts
  • +Real-time mathematics and live visualization share one measurement configuration
  • +Sequencer supports repeatable procedures and conditional actions
  • +Native analysis covers FFT, order tracking, acoustics, and structural testing
Cons
  • –PLC and SCADA supervisory control are outside its main design
  • –Advanced capabilities depend on compatible Dewesoft acquisition hardware
  • –Device and workflow extensions require plugin or automation development
  • –Large test configurations require disciplined channel setup
Use scenarios
  • Vehicle durability laboratories

    Synchronize road-load and vehicle bus measurements

    Correlated durability evidence

  • Aerospace test engineers

    Record synchronized flight-test instrumentation

    Traceable flight-test analysis

Show 2 more scenarios
  • Production test teams

    Run repeatable end-of-line measurements

    Consistent test execution

    The Sequencer executes defined measurement steps and applies condition-based actions during production checks.

  • Structural test engineers

    Analyze vibration and modal measurements

    Faster modal interpretation

    Dedicated analysis modules process accelerometer data for frequency, order, and structural response evaluation.

Best for: Fits when test teams need synchronized measurement, analysis, and repeatable procedures instead of PLC-centered SCADA control.

#6

Kinesis

vertical specialist

Motion control software and drivers for Thorlabs stages, actuators, and motorized optical instruments.

7.7/10
Overall
Features7.7/10
Ease of Use7.7/10
Value7.7/10
Standout feature

Device-class specific command execution that mirrors Thorlabs driver capabilities with predictable parameter mapping.

Kinesis is built around Thorlabs instrument control and uses Thorlabs-provided driver logic for connection setup and command execution.

Pros
  • +Tight coupling to Thorlabs instrument control flows and parameters
  • +Clear separation between device discovery and operational command execution
  • +Consistent status and error reporting tied to instrument driver state
  • +Scripting supports repeatable test runs without external orchestration
Cons
  • –Coverage narrows quickly outside Thorlabs instrument families
  • –Advanced automation that spans multiple vendors needs additional integration work
  • –Large multi-instrument scheduling can require manual sequencing logic
  • –Remote governance and centralized change control are limited
Use scenarios
  • Optomechanics lab automation staff

    Batch parameter scripts for stage control

    Reduced setup variation

  • Measurement technicians

    Automate shutter and filter changes

    More consistent test runs

Show 2 more scenarios
  • Optical research groups

    Run scripted sweeps across devices

    Faster data collection

    Applies parameter changes across multiple instruments with Thorlabs connection logic.

  • Internal engineering teams

    Standardize instrument control procedures

    Lower operator dependency

    Encodes approved command sequences as scripts to enforce consistent operation practices.

Best for: Fits when lab automation centers on Thorlabs hardware and deterministic device control matters more than cross-vendor orchestration.

#7

BenchVue

vertical specialist

PC software for controlling Keysight bench instruments and logging measurement data.

7.5/10
Overall
Features7.5/10
Ease of Use7.4/10
Value7.6/10
Standout feature

BenchVue Test Flow sequences multi-instrument tests through a visual workflow without requiring a custom programming environment.

BenchVue connects supported Keysight instruments through a unified application layer and presents controls designed for each instrument class. Users can configure measurements, monitor readings, record results, apply limits, and export captured data. BenchVue Test Flow adds visual sequencing for repeatable workflows across multiple connected instruments.

Pros
  • +Instrument-specific apps expose controls for power supplies, oscilloscopes, meters, and analyzers.
  • +BenchVue Test Flow builds visual multi-step test sequences.
  • +Live charts and logging capture measurements without custom interfaces.
  • +One desktop workspace monitors multiple connected instruments.
Cons
  • –Coverage depends on supported Keysight instrument applications.
  • –Plant-wide supervisory control requires a different system architecture.
  • –Advanced custom automation may require external programming.
  • –Distributed deployment and centralized governance are limited.
Use scenarios
  • electronics validation engineers

    Automated power supply characterization

    Repeatable characterization records

  • research laboratory technicians

    Long-duration measurement logging

    Continuous measurement history

Show 1 more scenario
  • production test engineers

    Bench-level functional verification

    Consistent bench verification

    Test Flow organizes operator-triggered checks across instruments before hardware enters larger production systems.

Best for: Fits when laboratory teams need repeatable multi-instrument validation without building custom control screens.

#8

MATLAB Instrument Control Toolbox

enterprise

Instrument Control Toolbox connects MATLAB to instruments through VISA, IVI, TCP/IP, serial, and other interfaces.

7.1/10
Overall
Features7.1/10
Ease of Use7.0/10
Value7.2/10
Standout feature

Instrument sessions integrate directly with MATLAB variables and data logging, so measurement scripts and analysis share the same execution context.

MATLAB Instrument Control Toolbox turns MATLAB into a measurement automation host by providing instrument control interfaces, driver wrappers, and device communication support. It fits labs and test teams that already standardize on MATLAB for data acquisition, signal processing, and test scripting.

Pros
  • +MATLAB-native scripting for test sequences, analysis, and instrument control
  • +Strong reuse of driver-layer patterns inside MATLAB object calls
  • +Good support for SCPI command-based instrument scripting workflows
  • +End-to-end control with synchronous acquire and process in one runtime
Cons
  • –Driver availability depends on supported instrument families and interfaces
  • –Large test deployments need extra engineering for concurrency and scaling
  • –Deep automation often requires careful handling of timing and trigger routing
  • –Tooling governance relies on MATLAB project practices rather than built-in RBAC
Use scenarios
  • Test engineers using MATLAB

    Automate SCPI instrument test sequences

    Faster repeatable test execution

  • Lab automation teams

    Coordinate triggers across multiple devices

    More consistent measurement timing

Show 2 more scenarios
  • RF and signal processing teams

    Capture data and postprocess immediately

    Reduced measurement-to-insight time

    Runs instrument communication and sends acquired data into MATLAB analysis for quick validation.

  • QA and verification groups

    Standardize measurement workflows for audits

    Stronger traceability of results

    Integrates logging and scripted control so test runs can be reproduced and reviewed.

Best for: Fits when MATLAB is already the T&M automation controller and SCPI-style test workflows dominate.

#9

Spectrum Instrumentation SBench 6

vertical specialist

Control and analysis software for Spectrum digitizers, generators, and data acquisition cards.

6.8/10
Overall
Features6.8/10
Ease of Use6.8/10
Value6.8/10
Standout feature

Combined oscilloscope-style analysis and hardware control for Spectrum digitizer and generator cards.

Spectrum Instrumentation SBench 6 connects directly to compatible Spectrum hardware and exposes acquisition, display, recording, and generator controls in one application. Engineers can inspect multiple channels, apply mathematical operations, calculate measurements, and review frequency-domain results during hardware bring-up. Trigger routing and synchronized acquisition depend on the capabilities of the installed Spectrum hardware.

Pros
  • +One workspace controls Spectrum digitizer and generator cards.
  • +FFT, waveform math, histograms, and averaging support signal investigation.
  • +Multi-channel displays expose acquisition data without custom visualization code.
  • +Spectrum programming interfaces support scripted acquisition outside the GUI.
Cons
  • –Hardware support centers on Spectrum cards rather than mixed-vendor benches.
  • –No native RBAC, audit logging, or centralized user administration.
  • –Recurring test sequences require external code instead of a built-in sequence editor.
  • –Windows desktop deployment limits use in Linux-only test environments.
Use scenarios
  • R&D electronics laboratories

    Capture and analyze prototype signals

    Analyzed prototype waveforms

  • Production validation teams

    Run repeatable acquisition checks

    Repeatable acquisition runs

Show 1 more scenario
  • Test system integrators

    Validate multi-channel hardware setups

    Validated channel alignment

    Integrators coordinate Spectrum cards and inspect aligned channels before embedding control in custom software.

Best for: Fits when laboratories need hands-on control and analysis for Spectrum digitizer or generator cards.

Conclusion

After evaluating 9 instrument control software, OpenTAP 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.

Our Top Pick
OpenTAP

Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.

Frequently Asked Questions About Instrument Control Software

How do Ignition, Wonderware, and WinCC differ from instrument control tools like LabVIEW or OpenTAP for test sequence execution?
Ignition, Wonderware, and WinCC are built around SCADA/HMI workflows and supervisory control patterns. LabVIEW and OpenTAP are built to run measurement automation with reusable instrument-driver steps, which keeps device communication and test sequencing in the same runtime model.
Which tool supports a built-in instrument simulation mode for end-to-end workflow validation before hardware deployment?
OpenTAP includes an instrument simulation mode that executes the same driver-layer workflow without connected hardware. DewesoftX and Labber focus on capturing real synchronized measurements and logging contexts, so simulation coverage is not their primary differentiator.
How do DewesoftX and BenchVue handle repeatable multi-instrument procedures without custom interface work?
BenchVue Test Flow sequences multi-instrument tests through a visual workflow inside its desktop workspace. DewesoftX repeats procedures via its Sequencer module while keeping synchronized measurement configuration connected to live analysis, replay, and reporting.
What breaks if a lab needs deep calibration-aware configuration when switching from PicoScope 7 to MATLAB Instrument Control Toolbox?
PicoScope 7 maps measurement modes to Pico device capabilities and keeps configuration tied to device-specific calibration. MATLAB Instrument Control Toolbox can control VISA-style instruments from MATLAB, but calibration-aware behavior depends on the instrument session and any driver wrappers used in the MATLAB workflow.
How do Labber and OpenTAP differ in how measurement results stay tied to the actions that produced them?
Labber uses a task and measurement context model so instrument actions stay bound to logged results for re-runs. OpenTAP uses structured steps for test execution, pass fail logic, and extensibility hooks, so run context is carried through workflow components rather than a single measurement-context abstraction.
When does Kinesis fall short compared with LabVIEW for heterogeneous instrument driver reuse across a mixed lab?
Kinesis focuses on deterministic control across supported Thorlabs instruments using Thorlabs-provided drivers. LabVIEW supports broader vendor I/O interfaces and encapsulates device communication in reusable graphical components, which reduces rewriting workflows when hardware mixes change.
How do WaveForms and Spectrum Instrumentation SBench 6 differ in scope coverage beyond a single vendor’s hardware?
WaveForms is optimized for Digilent device integration and uses measurement setup templates aimed at repeatable Digilent acquisition runs. Spectrum Instrumentation SBench 6 is centered on Spectrum digitizer and generator card control with combined oscilloscope-style analysis, so it is narrower outside that hardware family.
What are the integration and API differences between MATLAB Instrument Control Toolbox and LabVIEW for automation and external orchestration?
MATLAB Instrument Control Toolbox runs measurement automation as programmable MATLAB scripts that can share variables directly with analysis and logging. LabVIEW emphasizes deployable control applications and distributed runtime systems that keep instrument driver communication and sequencing logic in the same project model.
How can admins manage permissions and auditability in instrument control workflows compared across LabVIEW and OpenTAP?
LabVIEW-based deployments typically rely on platform access controls in the runtime environment that hosts instruments and projects. OpenTAP provides role-based access and audit-log oriented administration patterns tied to workflow execution, which is more directly aligned with automated test orchestration governance.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Instrument Control Software

In instrument control software, the biggest differences show up in how well the system controls your instruments through a documented automation surface. We look at criteria like API coverage, automation support, and instrument coverage so options don’t diverge once you start driving real hardware.

Instrument automation API and scripting

Why it matters

Instrument automation API and scripting determine whether we can run repeatable control workflows, not just click through a GUI. When this is strong, our setups stay maintainable as we add instruments.

How to check

On the demo, ask for an example workflow that sets parameters, starts a measurement, and reads results through the API. Then try the same workflow with two instruments or two channels to confirm the automation surface matches the UI behavior.

Supported instrument families depth

Why it matters

Supported instrument families depth matters because control software often varies by command set and device-specific quirks. If the target instruments aren’t covered cleanly, we end up with workarounds that break automation.

How to check

Request a list of your exact instrument models and the control features they support. For at least one model, verify in the product docs or in a live demo that we can configure measurement settings and pull back results as expected.

Connection workflow and device discovery

Why it matters

Connection workflow and device discovery affects how quickly we can bring new instruments into a controlled run. It also shows whether the software handles common lab realities like changing cables and restarting services.

How to check

In the demo, disconnect and reconnect one instrument, or reboot the control PC, then confirm the software re-detects the device. Ask what we have to do when a device is renamed or moved to a different port.

Data throughput during repeated runs

Why it matters

Data throughput during repeated runs matters when we automate longer measurement campaigns or iterate quickly. If throughput is weak, control latency and result timing can skew our workflow even when single runs look fine.

How to check

Run a scripted loop for several back-to-back measurements while watching timestamps, response time, and result availability. Ask for guidance on expected behavior at higher sampling or higher repetition counts using your settings.

Configuration versioning for experiments

Why it matters

Configuration versioning for experiments matters because we need the same control settings months later. It reduces ambiguity when we compare results across runs or troubleshoot changes.

How to check

Create a configuration for a measurement, change one or two parameters, and check whether the software records what changed. Export the configuration and confirm you can re-load it and reproduce the same settings in another session.

Admin controls and audit log

Why it matters

Admin controls and audit log help us manage who can change instrument control parameters and when. This matters in shared labs where one operator’s settings should not silently affect others.

How to check

Ask whether the product supports role-based access and whether configuration changes show up in an audit log. During the demo, attempt a change as a limited user and verify the log records the actor and what changed.

Red flags

  • API scripts don’t match the GUI’s instrument behavior
  • It connects in a demo but fails after reconnect or restart
  • No reliable way to capture and re-load experiment settings

Fit by situation

  • If you plan to automate measurements beyond a GUI, prioritize Instrument automation API and scripting.
  • If your lab has multiple instrument models with specific controls, prioritize Supported instrument families depth.
  • If several people share hardware, prioritize Admin controls and audit log.
Commissioned Research

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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