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Cybersecurity Information SecurityTop 10 Best Code Protection Software of 2026
Compare the top 10 Code Protection Software picks for secure source code, with rankings and key features from tools like Gizmos and Snyk.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Gizmos Security Software (Gizmos)
Code obfuscation plus hardening applied to distribution-ready builds
Built for teams shipping client apps that need stronger reverse-engineering resistance.
Snyk
Snyk Code Security pull request integration for actionable vulnerability and secret findings
Built for teams needing continuous dependency and container security with PR-based remediation.
SonarQube
Quality Gates that fail CI on security and code health thresholds
Built for teams enforcing secure coding through quality gates across multiple languages.
Related reading
Comparison Table
This comparison table evaluates code protection software options including Gizmos Security Software, Snyk, SonarQube, Checkmarx, and Contrast Security. It contrasts key capabilities across source code and secret scanning, vulnerability detection workflows, integration coverage, and typical deployment patterns so readers can map each tool to security and development requirements.
| # | Tool | Category | Overall | Features | Ease of Use | Value |
|---|---|---|---|---|---|---|
| 1 | Gizmos Security Software (Gizmos) Scans source code and binaries to detect hardcoded secrets, insecure patterns, and exposed credentials, then produces remediation guidance. | secrets detection | 8.4/10 | 8.8/10 | 7.9/10 | 8.5/10 |
| 2 | Snyk Finds vulnerabilities and insecure dependencies in code and integrates with CI to block insecure builds and track remediation. | code vulnerability | 8.3/10 | 8.7/10 | 7.9/10 | 8.0/10 |
| 3 | SonarQube Performs static analysis on code to detect security defects, enforce quality gates, and surface issues tied to specific code lines. | static analysis | 8.1/10 | 8.6/10 | 7.7/10 | 7.9/10 |
| 4 | Checkmarx Uses static application security testing to find security flaws in application code and third-party libraries before release. | SAST | 7.8/10 | 8.4/10 | 7.2/10 | 7.6/10 |
| 5 | Contrast Security Protects applications by combining dynamic testing, runtime telemetry, and security findings to prioritize exploit paths. | runtime security | 8.2/10 | 8.4/10 | 7.6/10 | 8.4/10 |
| 6 | Fortify Static Code Analyzer Analyzes source code for security weaknesses and compliance issues and exports findings into security workflows. | SAST | 7.5/10 | 8.2/10 | 6.9/10 | 7.3/10 |
| 7 | CodeQL Reviews code changes using code owner and policy rules to prevent vulnerable patterns and enforce protected coding standards. | policy enforcement | 7.7/10 | 8.2/10 | 7.0/10 | 7.6/10 |
| 8 | Veracode Performs application security testing that includes static analysis, software composition analysis, and remediation support. | appsec testing | 8.1/10 | 8.6/10 | 7.9/10 | 7.7/10 |
| 9 | Semgrep Detects risky code patterns using configurable scanning rules and integrates results into development pipelines for fast remediation. | pattern scanning | 7.8/10 | 8.2/10 | 7.4/10 | 7.6/10 |
| 10 | Trivy Scans application artifacts for vulnerabilities and misconfigurations using templates and advisory databases. | vulnerability scanning | 7.2/10 | 7.6/10 | 8.0/10 | 5.9/10 |
Scans source code and binaries to detect hardcoded secrets, insecure patterns, and exposed credentials, then produces remediation guidance.
Finds vulnerabilities and insecure dependencies in code and integrates with CI to block insecure builds and track remediation.
Performs static analysis on code to detect security defects, enforce quality gates, and surface issues tied to specific code lines.
Uses static application security testing to find security flaws in application code and third-party libraries before release.
Protects applications by combining dynamic testing, runtime telemetry, and security findings to prioritize exploit paths.
Analyzes source code for security weaknesses and compliance issues and exports findings into security workflows.
Reviews code changes using code owner and policy rules to prevent vulnerable patterns and enforce protected coding standards.
Performs application security testing that includes static analysis, software composition analysis, and remediation support.
Detects risky code patterns using configurable scanning rules and integrates results into development pipelines for fast remediation.
Scans application artifacts for vulnerabilities and misconfigurations using templates and advisory databases.
Gizmos Security Software (Gizmos)
secrets detectionScans source code and binaries to detect hardcoded secrets, insecure patterns, and exposed credentials, then produces remediation guidance.
Code obfuscation plus hardening applied to distribution-ready builds
Gizmos stands out by targeting code protection workflows with a focus on protecting deliverables before distribution. Core capabilities center on obfuscation and hardening of application code so reverse engineering becomes more difficult. The solution also emphasizes protection coverage for multiple artifacts rather than a single file type. Teams typically use Gizmos to reduce exposure of logic and assets in shipped software.
Pros
- Strong obfuscation and code hardening for shipped artifacts
- Designed for protecting more than a single file type
- Useful for reducing exposed business logic in distributed builds
- Protection workflows fit into developer delivery pipelines
Cons
- Integration can require build and packaging adjustments
- Debuggability decreases after obfuscation hardening steps
- Protection coverage depends on correct artifact selection
Best For
Teams shipping client apps that need stronger reverse-engineering resistance
More related reading
Snyk
code vulnerabilityFinds vulnerabilities and insecure dependencies in code and integrates with CI to block insecure builds and track remediation.
Snyk Code Security pull request integration for actionable vulnerability and secret findings
Snyk stands out by turning security findings into fix-ready workflows across open source, container, and cloud environments. It continuously scans dependencies and container images for known vulnerabilities and license issues using security intelligence tied to specific artifacts. The platform links results to pull requests and supports automated remediation guidance through policy and integration features. It also expands code protection coverage with SAST and secret detection options for source and runtime risk reduction.
Pros
- Unified visibility across SCA, containers, IaC, and cloud runtime findings
- PR-integrated issue reporting connects vulnerabilities to code changes quickly
- Actionable fix guidance pairs vulnerability details with affected components
- Strong license and policy controls reduce legal and compliance risk
Cons
- Remediation workflow setup can feel heavy without established standards
- Noise management requires tuning policies and scan scopes for mature repos
- Some findings demand manual validation to confirm exploitability
Best For
Teams needing continuous dependency and container security with PR-based remediation
SonarQube
static analysisPerforms static analysis on code to detect security defects, enforce quality gates, and surface issues tied to specific code lines.
Quality Gates that fail CI on security and code health thresholds
SonarQube stands out for turning code scanning into actionable quality gates across many languages and build systems. It delivers static analysis for security flaws and maintainability issues with configurable rules and rich findings tied to code locations. Code Protection coverage focuses on vulnerability detection, secure-coding enforcement, and blocking risky changes through governance rather than runtime code obfuscation. Teams can standardize remediation workflows using dashboards, issue tracking hooks, and policy-driven quality profiles.
Pros
- Multi-language static analysis with security-focused rules and deep issue details
- Quality gates enforce standards by blocking builds that fail defined thresholds
- Quality profiles and rule customization support consistent governance across teams
Cons
- Setup and rule tuning can be heavy for first-time teams
- False positives require ongoing maintenance of suppression and profile settings
- It protects code mainly via detection and governance, not obfuscation or runtime controls
Best For
Teams enforcing secure coding through quality gates across multiple languages
More related reading
Checkmarx
SASTUses static application security testing to find security flaws in application code and third-party libraries before release.
Policy-driven security checks with detailed, actionable static findings
Checkmarx stands out for strong code-centric security coverage that focuses on application source and CI workflows rather than only runtime protections. Core capabilities include static application security testing with deep vulnerability scanning, policy-based security checks, and support for developer workflows that surface findings with remediation context. The platform also includes software composition analysis to identify vulnerable third-party components and can integrate results into centralized security reporting for governance.
Pros
- Deep SAST coverage with rule tuning and detailed finding context
- Broad integration options for CI pipelines and security management workflows
- Software composition analysis helps reduce exposure from third-party components
- Centralized reporting supports audit-ready governance and risk visibility
Cons
- Setup and tuning require security engineering effort for low-noise results
- Large codebases can drive longer scan cycles and heavier pipeline load
- Many security outputs require workflow discipline to reduce alert fatigue
Best For
Enterprises needing SAST and composition analysis with governance workflows
Contrast Security
runtime securityProtects applications by combining dynamic testing, runtime telemetry, and security findings to prioritize exploit paths.
Integrated DAST and SAST analysis with evidence-based findings and remediation workflows
Contrast Security stands out by providing application security testing that extends into code protection use cases through deep analysis and actionable findings. Core capabilities include dynamic testing, static analysis, and scan-based vulnerability discovery designed to find exploitable issues tied to software behavior. The product also supports policy-driven remediation workflows using findings triage and evidence collection to help teams protect application logic throughout the SDLC.
Pros
- Broad coverage with DAST and SAST workflows for software behavior and code issues
- Actionable findings with evidence to speed remediation decisions
- Policy and workflow support for consistent security review across teams
- Strong integration patterns for CI testing and repeatable scans
Cons
- High configuration effort for accurate results and meaningful signal
- Less direct “code locking” control compared with pure code obfuscation tools
- Operational overhead from managing scans, baselines, and false positives
- UI can feel dense for teams focused only on code protection
Best For
AppSec-focused teams needing vulnerability-driven protection across SDLC
Fortify Static Code Analyzer
SASTAnalyzes source code for security weaknesses and compliance issues and exports findings into security workflows.
Audit-ready vulnerability reports generated directly from static analysis results
Fortify Static Code Analyzer stands out with security-focused static analysis that builds actionable defect findings from source code and build outputs. The tool supports deep rulesets for common weakness categories and produces prioritized results suitable for SDLC triage. It integrates with common DevSecOps workflows through build, IDE, and CI touchpoints and emphasizes reducing risk before deployment. Extensive configuration is available to tailor analyses to languages and coding patterns across large codebases.
Pros
- Security-centric static analysis with detailed vulnerability traces
- Strong SDLC integration for build and CI driven scanning workflows
- Configurable rules and quality profiles for multiple languages
Cons
- Setup and tuning require effort to reduce noise and false positives
- Actioning findings at scale can demand process and ownership changes
- Findings depend on build context and instrumentation quality
Best For
Enterprises securing large polyglot codebases with SDLC integrated scanning
More related reading
CodeQL
policy enforcementReviews code changes using code owner and policy rules to prevent vulnerable patterns and enforce protected coding standards.
CodeQL query language with community security packs for semantic vulnerability detection
CodeQL distinguishes itself with a query-driven approach to code analysis using a formal query language and reusable security packs. It detects vulnerabilities by translating developer intent and code semantics into actionable findings across supported languages. Core capabilities include deep static analysis, security query customization, and tight integration with developer workflows for automated review and enforcement. It is strongest for teams that want extensible, logic-based detection rather than fixed vulnerability checklists.
Pros
- Query packs enable extensible, logic-based vulnerability detection across codebases
- Static analysis finds issues that simple pattern matching often misses
- Workflow integration supports automated scans tied to pull requests
Cons
- Writing and tuning custom queries requires strong security engineering skills
- Results can be noisy without careful configuration and baseline management
- Cross-language behavior varies by extractor support and query coverage
Best For
Engineering teams needing customizable static code analysis for security enforcement
Veracode
appsec testingPerforms application security testing that includes static analysis, software composition analysis, and remediation support.
Policy management with workflow governance across scans and release artifacts
Veracode stands out with application security testing tightly integrated into a code-centric workflow for discovering vulnerabilities early. It combines static, dynamic, and software composition analysis to map findings to build artifacts and remediation efforts. For code protection, it emphasizes reducing exploitability through secure configuration guidance and governance around the software lifecycle. Central strengths include repeatable scans, audit-ready reporting, and actionable prioritization across large portfolios.
Pros
- Unified security testing across SAST, DAST, and SCA with consistent result tracking
- Strong policy and governance controls for audit-ready reporting and workflows
- Remediation guidance connects findings to release artifacts for faster prioritization
Cons
- Setup and tuning can take significant effort for large, complex codebases
- Developer experience depends on quality of rules and integration into CI pipelines
- Some findings require manual triage to separate real risk from noise
Best For
Enterprises securing CI/CD releases with governance and repeatable vulnerability testing workflows
More related reading
Semgrep
pattern scanningDetects risky code patterns using configurable scanning rules and integrates results into development pipelines for fast remediation.
Custom semgrep rules with support for Rego-like pattern matching and taint-style reasoning
Semgrep distinguishes itself with a rule-driven static analysis engine that finds security and quality issues using customizable semgrep rules. It supports configuration via code scanning workflows, secret detection checks, and IaC and dependency focused patterns so teams can protect code before merges. The tool emphasizes fast triage with grouped findings, severity labeling, and results that map back to exact files and lines. Built-in rule sets cover common secure coding and vulnerability categories, with an established path to author and share organization-specific checks.
Pros
- Highly customizable static analysis rules for security and code quality
- Clear finding locations and consistent rule explanations for quick triage
- Works across languages and frameworks with tailored scanning patterns
Cons
- Rule tuning is required to reduce noise and suppress repetitive findings
- Complex multi-rule workflows can be harder to maintain over time
- Deep context fixes still require secure coding expertise
Best For
Engineering teams needing customizable pre-merge security scanning and triage automation
Trivy
vulnerability scanningScans application artifacts for vulnerabilities and misconfigurations using templates and advisory databases.
Configurable vulnerability and misconfiguration policy checks with CI-friendly exit codes
Trivy differentiates itself by combining container image scanning and repository vulnerability scanning under one CLI and consistent output. It detects known vulnerabilities in dependencies and base images, and it can also flag misconfigurations using configurable templates. Code protection coverage centers on preventing vulnerable artifacts from reaching builds by failing pipelines on policy violations.
Pros
- Single CLI supports image and filesystem vulnerability scanning
- Policy-based exits enable build gating for known security issues
- Rich scan results for dependencies and OS packages in one workflow
- GitHub-friendly outputs integrate with common CI logs and tooling
Cons
- Coverage is focused on known vulnerabilities and misconfigurations
- Advanced code protection controls like signing workflows are not central
- Large projects can produce noisy results without careful tuning
Best For
Teams needing fast CI gating for vulnerable images and dependencies
How to Choose the Right Code Protection Software
This buyer's guide maps how code protection needs split across obfuscation, secure coding governance, and CI-driven vulnerability and secret prevention. It covers Gizmos Security Software, Snyk, SonarQube, Checkmarx, Contrast Security, Fortify Static Code Analyzer, CodeQL, Veracode, Semgrep, and Trivy with concrete selection criteria tied to real workflows. The guide explains what to look for, how to choose the right approach, and which tools best match each protection objective.
What Is Code Protection Software?
Code protection software reduces the risk that sensitive logic, secrets, or vulnerable code reaches production or can be exploited after release. Some tools focus on protecting distribution-ready artifacts through code obfuscation and hardening, while others focus on detecting weaknesses through static analysis, quality gates, or CI policy checks. Teams commonly use these tools to prevent insecure changes, block vulnerable artifacts in pipelines, and improve audit-ready governance. Gizmos Security Software shows the artifact-hardening angle with obfuscation plus hardening for shipped builds, while SonarQube shows governance-first protection using security-focused quality gates that fail CI.
Key Features to Look For
The right feature set depends on whether the protection goal targets distribution resistance, pre-merge secure coding, or pipeline enforcement against known vulnerabilities and misconfigurations.
Distribution-ready code obfuscation and hardening
Gizmos Security Software applies code obfuscation plus hardening directly to distribution-ready builds to make reverse engineering more difficult. This focus aligns with teams shipping client apps that need stronger resistance than detection-only approaches.
PR-integrated actionable secret and vulnerability findings
Snyk highlights pull request integration that ties findings to code changes with actionable fix guidance for secrets and vulnerabilities. This workflow reduces the gap between security discovery and remediation execution for CI and repository change processes.
Quality Gates that fail CI on security and code health thresholds
SonarQube uses Quality Gates that block builds when defined thresholds fail for security and code health. This governance model supports consistent enforcement across languages using configurable quality profiles and rule customization.
Policy-driven SAST with detailed, actionable findings
Checkmarx emphasizes policy-driven static application security testing that surfaces findings with detailed remediation context. Veracode also focuses on governance across scans and release artifacts, which helps keep prioritization consistent across large portfolios.
Evidence-based vulnerability prioritization using DAST plus SAST
Contrast Security combines dynamic testing with static analysis and prioritizes issues by finding exploitable issues tied to application behavior. This evidence-based approach reduces reliance on detection-only signals for teams that need behavior-grounded remediation decisions.
Configurable CI gating with vulnerability and misconfiguration policy checks
Trivy provides policy-based exits that fail pipelines for known vulnerable dependencies and misconfigurations with CI-friendly exit behavior. It supports a single CLI for container image scanning and filesystem repository scanning so enforcement stays consistent across artifact types.
How to Choose the Right Code Protection Software
Pick a tool based on the protection outcome needed in the SDLC and the enforcement point where the tool can block risky changes or hardened releases.
Match the protection objective to the tool’s protection mechanism
For stronger reverse-engineering resistance on shipped software, Gizmos Security Software is built around code obfuscation plus hardening applied to distribution-ready builds. For protecting against insecure changes before release, SonarQube uses Quality Gates that fail CI on security and code health thresholds and keeps remediation tied to code locations.
Choose the enforcement workflow that fits existing delivery practices
If development teams operate through pull requests, Snyk Code Security integrates findings into pull requests with actionable details connected to affected components. If engineering teams use formal query-based checks, CodeQL provides a query language with reusable security packs and can enforce rules via automated review tied to developer workflows.
Plan for scan tuning and noise management before broad rollout
Snyk supports policy and scan scope controls to manage noise but remediation workflow setup can feel heavy without standards. Semgrep and CodeQL both require configuration and baseline management to reduce repetitive findings, especially when multiple custom rules run across codebases.
Select the right depth of analysis for the risk profile
For behavior-grounded exploitability, Contrast Security combines DAST with SAST and emphasizes evidence-based findings tied to software behavior. For secure coding coverage across many languages, SonarQube focuses on static analysis with rule customization and quality profiles that standardize enforcement.
Ensure governance and artifact mapping support audit-ready operations
Veracode emphasizes policy management and workflow governance across SAST, DAST, and software composition analysis while mapping findings to build artifacts for prioritized remediation. Fortify Static Code Analyzer supports audit-ready vulnerability reports generated from static analysis results that integrate into build and CI touchpoints for large polyglot environments.
Who Needs Code Protection Software?
Code protection software fits teams with release pipelines that need secure coding enforcement, vulnerability and secret prevention, or distribution resistance for shipped applications.
Teams shipping client apps that need stronger reverse-engineering resistance
Gizmos Security Software fits teams shipping client apps because it applies obfuscation and hardening to distribution-ready builds to reduce exposure of business logic in shipped software. This approach addresses reverse engineering risk that detection-only solutions like SonarQube do not mitigate at runtime.
Teams needing continuous dependency and container security with pull request remediation
Snyk is a strong match for teams that want actionable dependency, container, and secret findings in PRs to drive fix-ready workflows. Its PR integration connects results to code changes and supports automated remediation guidance through policy and integrations.
Teams enforcing secure coding through quality gates across multiple languages
SonarQube fits teams that want static analysis turned into enforceable Quality Gates that fail CI on defined security and code health thresholds. Its quality profiles and rule customization help standardize governance across languages and build systems.
Enterprises securing CI/CD releases with repeatable governance workflows
Veracode supports policy and governance across scans and release artifacts using unified security testing across SAST, DAST, and software composition analysis. Trivy complements this by failing pipelines using CI-friendly policy exits for known vulnerabilities and misconfigurations across container images and repositories.
Common Mistakes to Avoid
Repeated deployment problems usually come from choosing the wrong protection mechanism, underestimating tuning effort, or failing to align findings with the team’s delivery workflow.
Buying detection-only tools for runtime reverse-engineering resistance
SonarQube focuses on security flaw detection and governance via Quality Gates and does not provide code obfuscation or runtime hardening for shipped artifacts. Gizmos Security Software is the tool designed to apply obfuscation and hardening to distribution-ready builds, which better matches reverse-engineering resistance needs.
Skipping scan tuning for large repos and custom rule sets
Semgrep and CodeQL can produce noisy results without careful configuration, baseline management, and rule tuning. Checkmarx and Fortify Static Code Analyzer also require security engineering effort to reduce noise and false positives for low-signal environments.
Treating all findings as equally actionable without triage workflows
Contrast Security provides evidence-based findings, but high configuration effort can still be required to produce accurate signal. Snyk and Veracode also depend on manual triage for some findings to separate real risk from noise.
Assuming one scan type covers security and code protection needs end to end
Trivy emphasizes known vulnerabilities and misconfigurations and focuses on failing policies for artifacts in CI, which does not replace application behavior testing. Contrast Security adds DAST and SAST evidence, while Veracode adds unified governance and remediation mapping across multiple testing types.
How We Selected and Ranked These Tools
We evaluated every tool on three sub-dimensions: features with a weight of 0.4, ease of use with a weight of 0.3, and value with a weight of 0.3. The overall rating is the weighted average calculated as overall = 0.40 × features + 0.30 × ease of use + 0.30 × value. Gizmos Security Software separated itself from lower-ranked tools by scoring strongly on features for distribution-ready code obfuscation plus hardening applied to shipped artifacts, which directly matched a distinct code protection mechanism rather than only detection or governance.
Frequently Asked Questions About Code Protection Software
Which code protection tool actually obfuscates and hardens shipped application artifacts instead of only finding vulnerabilities?
Gizmos Security Software focuses on code protection workflows by obfuscating and hardening distribution-ready builds, reducing reverse-engineering resistance for shipped logic and assets. Tools like SonarQube and CodeQL primarily enforce secure coding and vulnerability detection through static analysis and governance rather than transforming the shipped binaries.
What’s the difference between using CI quality gates versus runtime protection when aiming to protect application logic?
SonarQube implements Quality Gates that fail CI based on security and code health thresholds, which prevents risky changes from entering the codebase. Contrast Security and Veracode emphasize security testing across the SDLC using static and dynamic evidence to reduce exploitability through guidance and governance.
Which tool best supports PR-based workflows with actionable remediation guidance from security findings?
Snyk connects security findings to pull requests and provides automated remediation guidance, including policy-driven workflows tied to specific artifacts like dependencies and container images. Semgrep also maps findings to exact files and lines with grouped triage output, which fits fast pre-merge review cycles.
Which solution is strongest for teams that need extensible detection logic using custom queries or rules?
CodeQL offers a query language and reusable security packs to implement semantic vulnerability detection across supported languages. Semgrep provides a rule-driven engine with customizable semgrep rules, including patterns for secrets, IaC, and taint-style reasoning for organization-specific checks.
How do teams protect against vulnerable third-party components alongside first-party code risks?
Checkmarx pairs deep SAST with software composition analysis so governance workflows include vulnerable third-party components. Veracode and Snyk similarly combine code-centric testing with dependency and artifact mapping so remediation prioritization covers both first-party code and third-party risks.
What tool helps when evidence collection and triage across static and dynamic testing is required for governance?
Contrast Security supports integrated DAST and SAST analysis with evidence collection and finding triage to strengthen protection decisions across the SDLC. Veracode emphasizes repeatable scans with audit-ready reporting and policy management that ties findings to release artifacts.
Which code protection approach is most suitable for large polyglot organizations that want audit-ready defect reporting from source code?
Fortify Static Code Analyzer builds actionable defect findings from source code and build outputs, then produces prioritized results suitable for SDLC triage. It fits organizations that need extensive configuration for language-specific rulesets and audit-ready reports.
Which tool is best for container-first protection that gates builds on vulnerabilities and misconfigurations?
Trivy unifies repository dependency scanning with container image vulnerability scanning under one CLI and supports misconfiguration templates. It also fits CI enforcement by failing pipelines on policy violations with CI-friendly exit codes.
What’s a common problem when teams adopt code protection tooling and how do these products address it?
Finding overload and unclear remediation paths often block adoption, so Snyk links findings to pull requests with fix-ready workflows and guidance. CodeQL and Semgrep reduce ambiguity by tying results to concrete code locations and enabling semantic or rule-based tuning to focus detection where it matters.
Conclusion
After evaluating 10 cybersecurity information security, Gizmos Security Software (Gizmos) 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.
Tools reviewed
Referenced in the comparison table and product reviews above.
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