Commissioned Research
Top 10 Best Crack Mac Software of 2026

GITNUXSOFTWARE REVIEW

Cybersecurity & Information Security

Top 10 Best Crack Mac Software of 2026

Review of crack mac software tools with key tradeoffs for Mac security admins, comparing features and fit across common use cases.

21 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 our reviews. Editorial policy

Analysts and operators use crack Mac software tools to validate whether a macOS endpoint is still running expected components, or whether malware activity and tampering indicators are present. This comparison helps weigh scanner depth, event and audit trail quality, and automation fit so teams can pick software that produces usable results for triage and remediation.

Wireshark is the best choice for teams doing precise packet-level protocol forensics because its protocol-aware display filters let you zero in on the exact traffic patterns you need, while Cuckoo Sandbox fits threat hunting and investigations best thanks to repeatable isolated runs that generate detailed behavior reports.

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

Wireshark

Display filters with protocol-aware expressions for focused packet views

Best for: Network troubleshooting and protocol analysis for teams needing precise packet forensics

2

Cuckoo Sandbox

Editor pick

Network and behavioral logging with per-run JSON and generated analysis reports

Best for: Threat hunting teams needing automated behavior visibility and reportable evidence

3

Suricata

Editor pick

Suricata's multi-threaded detection engine with protocol-aware parsing for IDS and IPS

Best for: Teams needing fast network detection with customizable signatures and parsing

Comparison Table

1
WiresharkBest overall
network forensics
9.3/10
Overall
2
malware sandboxing
8.7/10
Overall
3
IDS engine
8.6/10
Overall
4
network scanning
8.5/10
Overall
5
vulnerability scanning
8.0/10
Overall
6
incident response
7.9/10
Overall
7
endpoint auditing
7.6/10
Overall
8
endpoint security
7.3/10
Overall
9
penetration testing
6.8/10
Overall
10
brute-force defense
6.7/10
Overall
#1

Wireshark

network forensics

Captures and analyzes network traffic to inspect protocols, filter packets, and troubleshoot security investigations.

9.3/10
Overall
Features9.3/10
Ease of Use9.2/10
Value9.4/10
Standout feature

Display filters with protocol-aware expressions for focused packet views

Wireshark captures packets live and also analyzes saved traces, which makes it suitable for both immediate troubleshooting and post-incident review on macOS systems running capture utilities. It provides protocol dissectors across multiple layers and supports display filters and capture filters for narrowing timelines to the events that matter. Analysts can correlate network behavior across ARP, DHCP, IPv4, IPv6, and higher-level protocols when tracking changes over time.

A key tradeoff is that deep protocol dissection and rich filtering require time to configure filters correctly and can produce large trace files when captures run too long. It fits best for diagnosing intermittent network issues where evidence from frame timing, retransmissions, and DNS-related traffic is needed to explain latency or connection failures.

Its statistical tools and filterable packet timeline help teams move from raw traffic to a structured sequence of events. This workflow is particularly effective for wireless analysis when monitor-mode captures include 802.11 management frames, association events, and probe activity.

Pros
  • +Powerful display filters enable rapid root-cause packet inspection
  • +Broad protocol dissectors cover many network and application layers
  • +Rich statistics like conversations and IO graphs speed investigations
Cons
  • –Advanced filter syntax takes time to master
  • –Large captures can stress memory and slow rendering
  • –Workflow setup for capture and permissions varies by environment
Use scenarios
  • network administrators and infra teams

    Find duplicate IP and MAC conflicts

    Conflict evidence and likely source

  • wireless engineers and security analysts

    Audit client behavior in Wi-Fi captures

    Detailed client and connection events

Show 2 more scenarios
  • protocol and test engineers

    Compare traces across revisions

    Debugging evidence for regressions

    Compare saved traces from software or hardware changes to spot field differences, timing shifts, and retry patterns.

  • wireless auditors and security teams

    Review authentication exchanges offline

    Handshakes ready for analysis

    Capture and inspect 802.11 authentication traffic and EAPOL exchanges for structured offline audit evidence.

Best for: Network troubleshooting and protocol analysis for teams needing precise packet forensics

#2

Cuckoo Sandbox

malware sandboxing

Analyzes suspicious files and URLs in isolated environments to extract behaviors and generate reports.

8.7/10
Overall
Features8.7/10
Ease of Use8.7/10
Value8.7/10
Standout feature

Network and behavioral logging with per-run JSON and generated analysis reports

Cuckoo Sandbox automates dynamic malware analysis by executing suspicious samples in a repeatable sandbox workflow and collecting observable artifacts. It records execution behavior, including process activity, network traffic, and file system changes, then organizes outputs into results logs and generated reports. Analysts use those artifacts to understand what a sample actually does instead of relying on a scan verdict alone.

A key tradeoff is that meaningful results depend on deterministic sandbox execution, because environment changes can alter behavior across runs. It fits well when the goal is to compare behavior across malware versions or settings and when an execution timeline and captured artifacts are needed for later investigation.

The workflow also supports extraction of indicators from runs, which helps feed threat hunting and detection engineering work. It supports repeatable, evidence-first analysis that pairs well with DFIR timelines when reconstructing payload behavior.

Pros
  • +Automates sample execution and behavior capture for repeatable analysis
  • +Generates detailed reports covering processes, filesystem changes, and network activity
  • +Supports extensibility through custom analysis tasks and sandbox modules
  • +Helps convert raw observations into actionable triage artifacts
Cons
  • –Setup and tuning require technical knowledge of sandbox environments
  • –Operational overhead increases when scaling to many concurrent analyses
  • –Some behaviors may be missed without appropriate guest OS and tooling
  • –Result interpretation still requires analyst skill despite structured output
Use scenarios
  • security researchers and malware teams

    Repeat runs for behavior comparison

    Repeatable behavior comparison

  • security platform engineers

    Route sandbox reports into triage

    Less manual submission work

Show 2 more scenarios
  • malware analysts and DFIR teams

    Reconstruct payload execution stages

    Clear execution reconstruction

    Use execution traces and timelines to determine what a suspicious payload launched, changed, or contacted.

  • threat hunters and detection engineers

    Extract run-based indicators for hunting

    Candidate IoCs from executions

    Extract dropped files, network connections, and processes from malware runs to support behavioral hunting and detection work.

Best for: Threat hunting teams needing automated behavior visibility and reportable evidence

#3

Suricata

IDS engine

Inspects network traffic with signature and rules-based detection for threat hunting and intrusion detection.

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

Suricata's multi-threaded detection engine with protocol-aware parsing for IDS and IPS

Suricata provides protocol-aware parsing and signature-based detection on a single sensor pipeline, which supports IDS and IPS modes plus passive network monitoring. It produces structured alerts and event logs that plug into existing SIEM and log processing workflows for correlation and incident timelines. Built-in rule management and protocol decoders reduce the need for custom parsers when teams focus on known threats.

A key tradeoff is that running IPS mode increases operational risk if rule sets are mis-tuned, since inline blocking can impact legitimate traffic. A strong usage situation is high-throughput environments that already centralize logs and want consistent detections across IDS, IPS, and monitoring without maintaining separate tooling.

Pros
  • +High-throughput IDS and IPS using a modular detection engine
  • +Rich protocol parsing for HTTP, DNS, TLS, and other common services
  • +Flexible rule support with well-known community signatures
  • +Multiple alert and logging outputs for SIEM and incident workflows
Cons
  • –Rule tuning and tuning pipeline are required for low-noise deployments
  • –Configuration complexity is high for sensors spanning many protocols
  • –Operational overhead rises without solid monitoring and update practices
Use scenarios
  • SOC analysts and incident responders

    Correlate Suricata alerts with SIEM

    Faster triage and containment

  • Network security engineers

    Tune signatures for IDS and IPS

    Lower false positives

Show 2 more scenarios
  • Compliance and audit teams

    Maintain packet inspection evidence

    Repeatable audit trail

    Logged events support review of monitored traffic and detected threat conditions.

  • Platform teams running sensors

    Scale monitoring on shared pipeline

    More visibility per node

    Suricata runs inspection, parsing, and alerting together for consistent sensor output.

Best for: Teams needing fast network detection with customizable signatures and parsing

#4

Nmap

network scanning

Discovers hosts and services with port scanning and advanced network enumeration for security assessment.

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

Nmap Scripting Engine for protocol-aware enumeration via NSE scripts.

Nmap supports repeatable network discovery through configurable host discovery probes and deterministic scan options that work across scripted runs. Port scanning can include service detection and version fingerprinting, and results can be exported in multiple formats for later parsing and reporting. NSE scripts enable targeted enumeration for web services, SMB, DNS, and SNMP, so the same scan job can perform verification beyond open-port checks.

Pros
  • +Extensive scan types for ports, hosts, and service discovery.
  • +NSE scripting enables deep enumeration beyond basic scanning.
  • +Flexible output options for logs and automation workflows.
  • +Stealth and timing controls support low-noise scanning.
Cons
  • –Command-line complexity slows up initial setup and tuning.
  • –OS and service detection can require careful options and permissions.
  • –Scan misconfiguration can generate noisy results and delays.
Use scenarios
  • Internal security engineers

    Audit exposed services with NSE validation

    Evidence captured for remediation tickets

  • Red team operators

    Stage stealthy scans across subnets

    Fewer alerts during enumeration

Show 1 more scenario
  • Network administrators

    Inventory services after topology changes

    Change impacts identified quickly

    They compare scan outputs to identify new listeners, unexpected services, and version drift.

Best for: Security teams validating exposure, enumerating services, and automating scans.

#5

OpenVAS

vulnerability scanning

Performs vulnerability scanning using the Greenbone vulnerability management stack and produces actionable scan results.

8.0/10
Overall
Features8.0/10
Ease of Use8.0/10
Value8.0/10
Standout feature

OpenVAS vulnerability test suites driven by NVT feeds and customizable scan policies

OpenVAS stands out for providing an open source vulnerability scanning engine with extensive network and host coverage using NVT signatures. It supports authenticated and unauthenticated scans, produces detailed vulnerability reports, and integrates with the Greenbone ecosystem for management and reporting workflows.

Pros
  • +Large vulnerability coverage via NVT feeds and signature updates
  • +Authenticated scanning improves accuracy for service and configuration findings
  • +Works through remote management to support macOS operator workflows
  • +Produces structured reports with severity and affected host context
Cons
  • –Setup and dependency handling are complex on non-Linux operator setups
  • –Scan tuning takes time to reduce noise and false positives
  • –Resource usage can be heavy for large networks and many targets
Use scenarios
  • security teams and network admins

    Run recurring internal vulnerability scans

    Consistent vulnerability visibility

  • security teams in controlled environments

    Test segmented networks without services

    Locally controlled scan evidence

Show 2 more scenarios
  • security operations and infra teams

    Validate service weaknesses with credentials

    More detailed findings

    Use authorized credentials to check service versions and configurations for deeper vulnerability validation.

  • security auditors and compliance teams

    Create audit-ready vulnerability evidence

    Exportable audit evidence

    Generate findings tied to scan runs so evidence can be used for internal reviews and control assessments.

Best for: Security teams running recurring network vulnerability scans with report-driven remediation

#6

TheHive

incident response

Runs security incident response workflows with case management, alert triage, and integrations for investigation.

7.9/10
Overall
Features7.9/10
Ease of Use7.9/10
Value7.9/10
Standout feature

Playbooks for automating alert triage and investigation tasks

TheHive stands out by combining case management with structured incident workflows for security operations. It provides customizable alert ingestion, evidence-centric case records, and integrations that connect tasks, indicators, and external analysis results.

Pros
  • +Evidence-first case management links alerts, artifacts, and investigation steps
  • +Workflow playbooks automate triage and recurring investigation sequences
  • +Strong integrations with external analysis and ticketing systems
Cons
  • –Setup and maintenance overhead are meaningful for self-hosted deployments
  • –Customization can require deeper configuration than simple alert dashboards
  • –UI speed and usability can degrade with large case volumes
Use scenarios
  • security operations teams

    Track alerts as evidence-linked cases

    Structured incident handling

  • incident responders

    Run repeatable playbooks inside cases

    Repeatable triage steps

Show 2 more scenarios
  • security analysts across teams

    Coordinate tasks with assignments and comments

    Faster cross-team coordination

    Collaborate on cases using comments and assignments so investigations remain tied to the same incident context.

  • SOC managers and reporting leads

    Report case activity and outcomes

    Outcome-linked operational reporting

    Use reporting features that tie activity and outcomes back to cases for operational visibility across the workflow.

Best for: Security operations teams standardizing investigations with case workflows

#7

OSQuery

endpoint auditing

Collects and queries endpoint data using SQL-like queries to audit configurations and hunt for security-relevant signals.

7.6/10
Overall
Features7.6/10
Ease of Use7.6/10
Value7.6/10
Standout feature

Extensions and dynamic tables that expose custom services through SQL

OSQuery turns macOS, Windows, and Linux system data into a relational schema exposed through SQL queries. It ships with built-in tables for processes, filesystem, network, users, and hardware, and it can run scheduled or event-driven queries via its extension framework.

Pros
  • +SQL query interface for host telemetry across multiple system domains
  • +Custom tables let teams model proprietary services and log sources
  • +Scheduling and distributed execution support consistent incident investigations
  • +Wide built-in coverage for processes, users, network, and hardware
Cons
  • –SQL-first configuration can slow adoption for non-technical Mac workflows
  • –Tuning query frequency and retention is needed to manage overhead
  • –Complex environments require careful permissions and least-privilege planning
Use scenarios
  • infrastructure and security operations

    Run scheduled host state queries

    Repeatable server-state checks

  • security monitoring and data teams

    Enrich alerts with endpoint query data

    Additional host context

Show 2 more scenarios
  • compliance and internal audit teams

    Collect evidence from versioned query definitions

    Evidence tied to query logic

    Map audit requirements to defined query logic and collect endpoint evidence across many hosts.

  • security and infrastructure teams

    Monitor filesystem drift against baselines

    Drift evidence over time

    Check file metadata and filesystem state against baselines to identify evidence of configuration or file changes over time.

Best for: Security and IT teams automating Mac host discovery and incident triage

#8

Malwarebytes for Mac

endpoint security

Detects and removes malware with real-time protection, scan options, and cleanup tools for macOS endpoints.

7.3/10
Overall
Features7.3/10
Ease of Use7.3/10
Value7.3/10
Standout feature

Real-time protection that monitors for malicious behavior and blocks threats immediately

Malwarebytes for Mac stands out with strong malware detection focused on macOS threats rather than only browser cleanup. It combines real-time protection with on-demand scans and a remediation workflow that removes detected items and associated traces.

Pros
  • +Real-time malware protection with automatic detection and blocking
  • +On-demand scans with clear remediation steps for detected items
  • +Web protection helps block malicious sites and risky downloads
  • +Quarantine and recovery workflow supports controlled cleanup
Cons
  • –Not designed to validate or manage crack-related files and licensing
  • –Feature set is narrower than full endpoint security suites
  • –Advanced controls can feel limited for power users on macOS
Use scenarios
  • consumers and IT support teams

    Remove suspected macOS malware

    Cleaner device state

  • help desks and endpoint support

    Respond after suspicious downloads

    Contained suspicious files

Show 2 more scenarios
  • security teams with existing controls

    Add extra malware detection coverage

    More malware coverage

    Use Malwarebytes alongside existing endpoint or network tooling to provide additional discovery, containment, and removal workflows.

  • IT administrators managing endpoint groups

    Run scheduled endpoint checks

    Ongoing recurring checks

    Schedule unattended scans and review repeated detections across managed devices for ongoing protection hygiene.

Best for: Mac users needing malware blocking and cleanup alongside safer software habits

#9

Metasploit Framework

penetration testing

Provides exploitation modules, auxiliary scanners, and payload handling for penetration testing workflows.

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

Module-based exploitation and post-exploitation framework with payload options

Metasploit Framework stands out for its modular architecture that turns exploitation tasks into reusable components across many platforms. It ships with extensive scanner and exploit modules, plus payload handling to support staged delivery and command execution.

Pros
  • +Highly modular exploit, auxiliary, and post modules for repeated workflows
  • +Built-in payload staging supports flexible command execution patterns
  • +Automation via scripting and consistent module option handling
Cons
  • –Console-centric operation increases friction for crack-style workflows
  • –High setup and tuning effort for reliable results on macOS
  • –Defensive controls and patch variance can break module assumptions
Use scenarios
  • penetration testers

    Fingerprint services during controlled testing

    Service and software fingerprints

  • security researchers

    Build repeatable exploit chains

    Reusable exploitation workflow

Show 1 more scenario
  • security engineering teams

    Automate tasks with console scripting

    Repeatable test execution

    Script module options and console runs to automate repetitive actions as repeatable runbooks.

Best for: Security teams validating exploit paths and reverse-engineering cracks in labs

#10

Fail2ban

brute-force defense

Automatically blocks repeated failed login attempts by watching logs and applying firewall rules.

6.7/10
Overall
Features6.7/10
Ease of Use6.7/10
Value6.7/10
Standout feature

Jail and filter system that maps log patterns to temporary IP bans

Fail2ban distinctively automates temporary IP blocking by watching log files and triggering ban actions when repeated failures appear. Core capabilities include configurable jails and filters for services like SSH, along with notification actions and adjustable ban times. It supports multiple backend log-reading methods and custom scripting through action definitions for environment-specific remediation.

Pros
  • +Log-driven detection with configurable jails per service
  • +Reusable filter patterns for common attack signatures
  • +Custom action scripts for firewall and notification workflows
  • +Dynamic bans with tunable retry windows and bantime
Cons
  • –Requires Linux logging paths and service-specific jail tuning
  • –Filter writing can be error-prone for unfamiliar log formats
  • –Works best for server-style deployments, not desktop use
Use scenarios
  • SOC teams and security admins

    Auto-block repeat login failures

    Reduced repeated attack attempts

  • teams managing SSH access

    Apply bans using service-specific jails

    Focused access protection

Show 2 more scenarios
  • operations teams with custom remediation

    Run environment-specific ban actions

    Automated response actions

    Define custom action scripts to handle notifications and remediation steps when an IP ban is triggered.

  • platform engineers managing log backends

    Use multiple log reading methods

    Consistent log-driven blocking

    Choose backend log-reading methods that fit the environment while keeping ban logic driven by the configured jails.

Best for: Server administrators hardening Linux services via automated log-based blocking

Conclusion

After evaluating 10 crack mac software, Wireshark 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
Wireshark

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 Crack Mac Software

Which tools help confirm whether a crack workflow introduces malware risk on macOS?
Malwarebytes for Mac removes malicious items it detects and adds web protection that blocks unsafe domains and downloads, which helps validate what should not be present after installation. Cuckoo Sandbox executes suspicious samples in a controlled run and captures process, network, and file-change artifacts for behavior review instead of relying on a single scan verdict.
How do integrations with security logs and automation work when investigating a suspected cracked app?
TheHive ingests alerts and links evidence into structured cases so triage steps and investigation outcomes stay attached to a single record. OSQuery can expose macOS host telemetry as relational results through SQL queries, which teams can export into their existing monitoring or investigation pipeline.
When would a team use Nmap and Wireshark together during crack-related service enumeration?
Nmap enumerates exposed hosts and open ports with service detection and script execution for targeted network discovery. Wireshark then correlates those findings with packet-level timelines so DNS behavior, retransmissions, and protocol details can be inspected for anomalies tied to the software’s network activity.
What breaks if an environment lacks signed and notarized app expectations on macOS?
Malwarebytes for Mac can still remove known threats and block malicious domains, but it cannot make an unsigned or improperly packaged app behave like a trusted app. Gatekeeper enforcement and System Integrity Protection can prevent execution paths, which can cause the cracked workflow to fail before any network or host telemetry appears.
Which tool fits RBAC-style separation for case work when multiple investigators handle cracked-app alerts?
TheHive structures work as cases with assignments and comments so access controls can apply to case roles in the broader platform. OSQuery focuses on data collection through queryable tables, so RBAC must be handled by the surrounding access layer that consumes its exported results.
How does extensibility change outcomes when analyzing behavior after running a suspicious binary?
Cuckoo Sandbox produces repeatable per-run artifacts and generated analysis reports so analysts can compare behavior across executions. Nmap extends enumeration with NSE scripts, which supports protocol-aware checks that can align observed behaviors with specific services.
When is OSQuery better than manual inspection for cracked-app telemetry collection on macOS?
OSQuery turns system state into a queryable data model so teams can track processes, network connections, and filesystem changes with repeatable SQL queries. Wireshark provides higher-resolution network packet views, but it requires capture and manual filter work rather than standardized host state queries.
What tradeoff appears when using Metasploit Framework for crack validation work in a lab environment?
Metasploit Framework favors modular exploitation and repeatable console workflows, which can help test hypotheses around services and software interactions. The tradeoff is that it targets exploitation mechanics and may not provide the file and process observability that Cuckoo Sandbox captures as execution artifacts.
How do teams handle data migration and schema consistency when moving evidence between tools for cracked-app investigations?
TheHive organizes evidence-centric case records so investigation artifacts map into the case workflow consistently when alerts and analysis results are ingested. OSQuery outputs structured query results, which teams can reshape into a stable schema for downstream storage that matches their existing incident data model.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Crack Mac Software

We see the biggest differences in crack_mac software options around how reliably the license handling behaves in real macOS workflows, how often updates keep pace with app and OS changes, and whether the tool’s automation surface stays consistent. These factors determine whether the software you try keeps working after you install updates.

macOS and app version compatibility

Why it matters

macOS and the apps you use change often, and crack_mac software that lags can stop working after a normal update cycle. Compatibility is the main reason “it worked yesterday” happens.

How to check

On the demo system (or a test Mac), note your current macOS version and the target app versions. Ask the seller to document the last confirmed versions and to confirm behavior after applying a standard OS update and the target app update.

Stability after OS and app updates

Why it matters

With crack_mac software, stability after updates matters because patching behavior that worked once may break after changes to the host app. This label is about continuity during routine maintenance, not initial installation.

How to check

Run a short workflow end-to-end (open, perform the feature you care about, then exit). Then do a controlled update on one component (OS update or app update) and repeat the same workflow to see whether you get the same results without manual rework.

Activation workflow consistency

Why it matters

Crack_mac software can vary widely in how it triggers access and how repeatable that process is across sessions. A consistent activation workflow reduces downtime when you reinstall or move machines.

How to check

Test a full reinstall on a separate user account (or a clean profile) and time how long it takes to reach the working state. Ask whether the same steps work every time or if the workflow requires different manual actions depending on the app state.

Update frequency with clear changelogs

Why it matters

For crack_mac software, updates often track app and OS shifts, and lack of visible changelogs makes it hard to judge whether fixes are real. Update frequency also correlates with how quickly issues get addressed after normal changes.

How to check

Request the most recent changelog entries and the dates they map to. In the demo, ask about the specific issue it fixes and what versions it applies to, then verify by checking the stated supported versions against your setup.

Automation and scripting controls

Why it matters

Some crack_mac software options expose repeatable automation for recurring workflows, while others are strictly manual. Automation and scripting controls matter if you reinstall often or manage multiple Macs.

How to check

Look for documented CLI options, scripts, or an API-like interface (even basic command-line hooks). In the demo, ask for a repeatable scripted sequence that restores the working state and show it running multiple times without drift.

Red flags

  • Work stops after a routine OS or target app update, requiring frequent manual fixes
  • Activation steps vary by session, account, or reinstall scenario
  • Changelogs are vague or updates lag far behind reported host-app changes

Fit by situation

  • If we frequently reinstall apps or switch user accounts, prioritize Activation workflow consistency.
  • If we update macOS and the target apps regularly, prioritize Stability after OS and app updates.
  • If we manage repeated setups across multiple Macs, prioritize Automation and scripting controls.
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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