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Cybersecurity · head to head

Diligent vs Pants Build

Diligent logo

Diligent

Cybersecurity

Board management and enterprise GRC platform assembled from Galvanize, Steele and Diligent Boards

From
On request
Free plan
No
Full reviewWebsite
Pants Build logo

Pants Build

Developer Tools

Fast, scalable build system with intelligent defaults for Python and more

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Only Pants Build has a free tier, so it costs nothing to try first.
  • Each has a real cost: Diligent the platform is an assembly of acquisitions, with the analytics engine from ACL, risk from Rsam, ethics and third-party diligence from Steele and the board portal from Diligent itself, so cross-module reporting and consistent user experience should be tested in a proof of concept rather than assumed.; Pants Build smaller community compared to Bazel with fewer third-party tool integrations
  • They diverge on capability: Diligent covers Diligent Boards, Pants Build covers Intelligent defaults.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Diligent and Pants Build actually diverge.

Attributes where Diligent and Pants Build differ
AttributeDiligentPants Build
Starting priceOn requestFree
Pricing modelquoteopen-source
Free tierNoYes
PlatformsWeb, iOS, Android, WindowsLinux, macOS, Windows
CategoryCybersecurityDeveloper Tools

Identical on both: user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Diligent

  • Diligent Boards
  • Entity management
  • Audit and analytics
  • Risk management
  • Third-party risk
  • Ethics and compliance
  • ESG and sustainability
  • Market intelligence

Only in Pants Build

  • Intelligent defaults
  • Python-first design
  • Multiple dependency resolves
  • File-level operations
  • Git integration
  • Tool integrations
  • Python 3 plugin API

What people use each for

The jobs each tool is most often brought in to do.

Diligent

  • A listed company that wants board papers, entity records and the audit committee reporting pack produced from one governance systemnot Pants Build
  • An internal audit function moving from sampling to full-population transaction testing using the ACL heritage analytics enginenot Pants Build
  • A regulated firm consolidating a whistleblower hotline, third-party due diligence and policy attestation after an enforcement findingnot Pants Build
  • A group needing sustainability disclosure data collected with the same audit trail and controls as financial reportingnot Pants Build

Pants Build

  • Python-heavy monorepos with complex interdependenciesnot Diligent
  • Multi-language projects mixing Python, Go, and JVM languagesnot Diligent
  • Teams seeking minimal build configuration overheadnot Diligent
  • Organizations implementing Git-aware test selectionnot Diligent

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Diligent

  • The platform is an assembly of acquisitions, with the analytics engine from ACL, risk from Rsam, ethics and third-party diligence from Steele and the board portal from Diligent itself, so cross-module reporting and consistent user experience should be tested in a proof of concept rather than assumed.
  • Pricing is unpublished and consistently at the top of the market, and organisations that need only one capability, a board portal or an audit analytics tool, generally pay less and get more from a specialist.
  • Renewal leverage is weak once the board portal is embedded, because directors are the least willing user group to be migrated and that dependency is well understood by the vendor at renewal time.
  • The analytics engine expects real data skills, and audit teams without an analytics-capable member typically use a fraction of what they licensed while paying for all of it.
  • Module-by-module implementation means the promised single view of governance and risk usually arrives years after the first purchase, if the later modules are ever funded.

Pants Build

  • Smaller community compared to Bazel with fewer third-party tool integrations
  • Python plugin API steeper learning curve for custom build rules
  • Less mature ecosystem for non-Python languages
  • Fewer integration examples for enterprise CI/CD platforms

Pricing, plan by plan

Diligent

On request
  • Diligent One Platform$undefined/year
    • Quoted by module and user count
    • Board portal seats priced separately from GRC modules
    • Annual subscription, commonly multi-year

Pants Build

Free

No published plan breakdown. See the Pants Build review.

Which should you pick?

Choose Diligent if

  • You need diligent boards.
  • You work on Web, iOS, Android, Windows.
  • You also want entity management.
Diligent review

Choose Pants Build if

  • You need intelligent defaults.
  • You want to start without paying.
  • You work on Linux, macOS, Windows.
  • You also want python-first design.
Pants Build review

Questions people ask

Is Diligent or Pants Build better?
Neither clearly leads. Diligent starts at On request and Pants Build at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Diligent or Pants Build?
Pants Build has a free tier; the other does not. Paid plans start at On request for Diligent and Free for Pants Build.
Does Diligent or Pants Build run on more platforms?
Diligent runs on Web, iOS, Android, Windows. Pants Build runs on Linux, macOS, Windows.
Can I use Pants Build for free?
Yes. Pants Build has a free tier, so you can try it without paying. Diligent starts at On request.
What is Diligent best used for?
Diligent is most often used for a listed company that wants board papers, entity records and the audit committee reporting pack produced from one governance system, an internal audit function moving from sampling to full-population transaction testing using the acl heritage analytics engine, a regulated firm consolidating a whistleblower hotline, third-party due diligence and policy attestation after an enforcement finding, a group needing sustainability disclosure data collected with the same audit trail and controls as financial reporting. Of those, a listed company that wants board papers, entity records and the audit committee reporting pack produced from one governance system and an internal audit function moving from sampling to full-population transaction testing using the acl heritage analytics engine are not what Pants Build is typically brought in for.
What can Diligent do that Pants Build cannot?
Diligent covers Diligent Boards, Entity management, Audit and analytics, Risk management. Pants Build covers Intelligent defaults, Python-first design, Multiple dependency resolves, File-level operations.

Answered from the vendors’ own pages

Diligent: Is Diligent One the same product as Galvanize?

It contains it. Diligent bought Galvanize, the ACL and Rsam merger, for around one billion dollars in April 2021, and its audit analytics and risk modules are that heritage rebranded into Diligent One.

Pants Build: What languages does Pants support?

Pants supports Python as a first-class citizen, with production-ready support for Go, Java, Scala, Kotlin, Shell scripts, and Docker.

Source
Diligent: What does Diligent cost?

Not published. It is quoted by module and user, and board portal seats are priced differently from GRC seats. Expect an annual or multi-year enterprise agreement.

Pants Build: Do I need to write BUILD files with Pants?

Pants uses static analysis to infer dependencies and project structure, minimizing required BUILD file configuration compared to other build systems.

Source
Diligent: Can you buy just the board portal?

Yes, Diligent Boards is sold on its own and is the most common entry point. The GRC modules are separate purchases.

Pants Build: How does Pants handle complex dependency scenarios?

Pants provides file-level dependency tracking, multiple dependency resolves with lockfiles, and sophisticated dependency analysis that works correctly even with circular or complex dependency graphs.

Source
Diligent: Does it replace a SOC 2 automation tool?

No. Diligent is aimed at enterprise audit, risk and governance, not at automated evidence collection for security certifications.

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