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Developer Tools · head to head

Depot vs Pants Build

Depot logo

Depot

Developer Tools

Cloud-based builds and CI runs 55x faster with less cost

From
Free
Rated
-
Full reviewWebsite
Pants Build logo

Pants Build

Developer Tools

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

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Depot developer plan minute limits may be insufficient for active development; Pants Build smaller community compared to Bazel with fewer third-party tool integrations
  • They diverge on capability: Depot covers Depot CI, Pants Build covers Intelligent defaults.

Where they differ

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

Attributes where Depot and Pants Build differ
AttributeDepotPants Build
Pricing modelUnknownopen-source
PlatformsCloud, GitHub, CLILinux, macOS, Windows
Founded2022Unknown

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Developer Tools).

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 Depot

  • Depot CI
  • Container builds
  • GitHub Actions runners
  • Distributed caching
  • Build API
  • Depot Registry
  • Cross-platform builds
  • SSH debugging

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.

Depot

  • Accelerating Docker builds for container-based developmentnot Pants Build
  • Replacing GitHub Actions runners with faster infrastructurenot Pants Build
  • Distributing cache across Monorepo buildsnot Pants Build
  • Debugging failed CI builds interactively with SSHnot Pants Build

Pants Build

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

Where each one falls short

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

Depot

  • Developer plan minute limits may be insufficient for active development
  • Startup plan at $200/mo is expensive for smaller teams
  • Business plan requires custom pricing consultation
  • macOS M2 runners not available on Developer plan

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

Depot

Free
  • Developer$20/month
    • 1 user
    • 500 Docker build minutes per month
    • 2,000 Depot CI minutes per month
  • Startup$200/month
    • Unlimited users
    • 5,000 Docker build minutes per month
    • 20,000 Depot CI minutes per month
  • Business$undefined/custom
    • Custom pricing
    • Unlimited users
    • Custom monthly compute

Pants Build

Free

No published plan breakdown. See the Pants Build review.

Which should you pick?

Choose Depot if

  • You need depot ci.
  • You want to start without paying.
  • You work on Cloud, GitHub, CLI.
  • You also want container builds.
Depot 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 Depot or Pants Build better?
Neither clearly leads. Depot starts at Free and Pants Build at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Depot or Pants Build?
Depot starts at Free and Pants Build at Free.
Does Depot or Pants Build run on more platforms?
Depot runs on Cloud, GitHub, CLI. Pants Build runs on Linux, macOS, Windows.
Can I use Depot for free?
Both have a free tier, so you can try either at no cost before committing.
What is Depot best used for?
Depot is most often used for accelerating docker builds for container-based development, replacing github actions runners with faster infrastructure, distributing cache across monorepo builds, debugging failed ci builds interactively with ssh. Of those, accelerating docker builds for container-based development and replacing github actions runners with faster infrastructure are not what Pants Build is typically brought in for.
What can Depot do that Pants Build cannot?
Depot covers Depot CI, Container builds, GitHub Actions runners, Distributed caching. Pants Build covers Intelligent defaults, Python-first design, Multiple dependency resolves, File-level operations.

Answered from the vendors’ own pages

Depot: How much faster are Depot runners compared to GitHub Actions?

Depot runners offer 30% faster CPUs and 10x faster networking than standard GitHub-hosted runners, enabling builds to complete significantly faster.

Source
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
Depot: What is included in the Developer plan?

Developer plan ($20/month) includes 500 Docker build minutes, 2,000 Depot CI minutes, 2,000 GitHub Actions minutes, 25 GB storage, unlimited concurrency, and community support.

Source
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
Depot: Can I use Depot with my own AWS account?

Yes, Depot Managed allows deployment within customer AWS accounts. This is available to interested customers; contact sales for details.

Source
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
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