Developer Tools · head to head
Pants Build vs Steampipe
Pants Build
Developer Tools
Fast, scalable build system with intelligent defaults for Python and more
- From
- Free
- Rated
- -
Steampipe
Developer Tools
Query cloud APIs, SaaS tools and code with SQL, with no extract or load step
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Pants Build smaller community compared to Bazel with fewer third-party tool integrations; Steampipe aGPL-3.0 across all four engines is a procurement blocker at organisations that ban the licence outright, and the network clause reaches any internal portal or service that puts a web interface in front of it.
- They diverge on capability: Pants Build covers Intelligent defaults, Steampipe covers SQL over live APIs.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Pants Build and Steampipe actually diverge.
| Attribute | Pants Build | Steampipe |
|---|---|---|
| Pricing model | open-source | Open source, with paid hosting through Turbot Pipes |
| Platforms | Linux, macOS, Windows | macOS, Linux, Windows, Docker, Web |
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 Pants Build
- Intelligent defaults
- Python-first design
- Multiple dependency resolves
- File-level operations
- Git integration
- Tool integrations
- Python 3 plugin API
Only in Steampipe
- SQL over live APIs
- Wide plugin set
- Embedded Postgres
- Compliance benchmarks
- Joins across providers
- Hosted option
What people use each for
The jobs each tool is most often brought in to do.
Pants Build
- Python-heavy monorepos with complex interdependenciesnot Steampipe
- Multi-language projects mixing Python, Go, and JVM languagesnot Steampipe
- Teams seeking minimal build configuration overheadnot Steampipe
- Organizations implementing Git-aware test selectionnot Steampipe
Steampipe
- Security teams answering posture questions against live cloud accounts rather than a nightly exportnot Pants Build
- Compliance evidence gathering where the answer must reflect the account at the moment it is askednot Pants Build
- Inventory and drift questions spanning several cloud providers in one querynot Pants Build
- Engineers who would rather write SQL than learn each provider command line toolnot Pants Build
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Steampipe
- AGPL-3.0 across all four engines is a procurement blocker at organisations that ban the licence outright, and the network clause reaches any internal portal or service that puts a web interface in front of it.
- Dashboards, benchmarks and mods were removed from Steampipe entirely at version 1.0 in October 2024 and now live in a separate product, so pre-2024 documentation and tutorials describe commands that no longer exist.
- Live querying is bound by cloud provider API rate limits and keeps no persistent store by default, which is why a separate DuckDB-backed product exists for log volumes and why large accounts return slowly.
- The company is fifteen people and bootstrapped, maintaining four command line tools plus a hosted service plus two further products, and the newer tools have thin community traction relative to that surface area.
- Hosted tiers include only three users regardless of tier, with additional Enterprise users charged separately, so a team of thirty costs an order of magnitude more than the headline figure before compute and storage are counted.
Pricing, plan by plan
Pants Build
FreeNo published plan breakdown. See the Pants Build review.
Steampipe
Free- Steampipe CLIFree
- AGPL-3.0
- All plugins
- No user or query limits
- Pipes DeveloperFree
- One user
- 400 compute minutes
- 3GB storage
- Pipes Team$49/month
- Three users
- 2,000 compute minutes
- 20GB storage
- Pipes Enterprise$249/month
- Three users
- 10,000 compute minutes
- 100GB storage
Which should you pick?
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.
Choose Steampipe if
- You need sql over live apis.
- You want to start without paying.
- You work on macOS, Linux, Windows, Docker, Web.
- You also want wide plugin set.
Questions people ask
- Is Pants Build or Steampipe better?
- Neither clearly leads. Pants Build starts at Free and Steampipe at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Pants Build or Steampipe?
- Pants Build starts at Free and Steampipe at Free.
- Does Pants Build or Steampipe run on more platforms?
- Pants Build runs on Linux, macOS, Windows. Steampipe runs on macOS, Linux, Windows, Docker, Web.
- Can I use Pants Build for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Pants Build best used for?
- Pants Build is most often used for python-heavy monorepos with complex interdependencies, multi-language projects mixing python, go, and jvm languages, teams seeking minimal build configuration overhead, organizations implementing git-aware test selection. Of those, python-heavy monorepos with complex interdependencies and multi-language projects mixing python, go, and jvm languages are not what Steampipe is typically brought in for.
- What can Pants Build do that Steampipe cannot?
- Pants Build covers Intelligent defaults, Python-first design, Multiple dependency resolves, File-level operations. Steampipe covers SQL over live APIs, Wide plugin set, Embedded Postgres, Compliance benchmarks.
Answered from the vendors’ own pages
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.
SourceSteampipe: When did Steampipe become AGPL?
May 2021, about four months after the project went public. It is a settled licence rather than a recent change, and predates the Business Source Licence wave it is often confused with.
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.
SourceSteampipe: Where did the dashboards and benchmarks go?
Into Powerpipe. They were deprecated in March 2024 and removed from Steampipe at version 1.0 in October 2024, so the check, dashboard, mod and variable commands are gone.
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.
SourceSteampipe: Is it fast on a large cloud estate?
Not always. Queries call provider APIs at request time, so rate limits rather than query planning set the pace, and there is no persistent store by default.
Steampipe: Does the AGPL affect internal use?
Running it internally for your own analysis is fine. Putting a web interface in front of it that other people use is where the network clause becomes a question for your legal team.
Steampipe: Is a bootstrapped vendor a risk?
It cuts both ways. There is no investor pressure toward a licence change or an exit, and there are also fifteen people supporting a large product surface.
Related pages
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