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TL;DR - Pants
- Scalable build system for monorepos supporting multiple languages.
- Minimizes boilerplate with static analysis and automatic BUILD file generation.
- Ensures secure, hermetic, and repeatable builds with dependency lockfiles.
Pricing: Free forever
Best for: Individuals & startups
Pros & Cons
Pros
- Easy to adopt and maintain with minimal configuration
- Resistant to supply chain attacks through robust dependency management
- Flexible enough to work with existing complex codebases
- Highly extensible for custom build requirements
- Efficient development workflows with Git-aware test execution
Cons
- Requires familiarity with Python for advanced plugin development
- Initial learning curve for teams new to advanced build systems
- May require adapting existing build processes to Pants' paradigm
Key Features
Minimal BUILD file metadata and boilerplateStatic analysis and sensible defaults for build inferenceSupport for multiple dependency resolves and lockfilesHermetic and repeatable buildsFile-level operation for complex dependency tanglesRich plugin API using async Python 3Native Git integration for affected change detectionFirst-class Python support
Pricing
Free
Pants is completely free to use with no hidden costs.
About Pants
By Toolradar Team·
Pants is a polyglot build system designed to simplify and accelerate development for large, complex codebases across multiple programming languages. It automates build processes, dependency management, and code analysis, allowing developers to focus on writing code rather than managing build configurations. Pants is particularly beneficial for organizations with monorepos or projects involving a mix of Python, Go, Java, Scala, Kotlin, and Shell, as it provides a unified and efficient way to manage builds, tests, and deployments.
It caters to engineering teams and organizations seeking to improve build reliability, reduce build times, and enhance developer productivity. By leveraging static analysis and sensible defaults, Pants minimizes the need for extensive build metadata, making it easier to adopt and maintain. Its focus on hermetic builds and supply chain security ensures repeatable and resilient development workflows, even in environments with intricate dependency graphs.
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Pants FAQ
What programming languages does Pants support?
Pants supports a wide range of languages and technologies including Python, Docker, Go, Java, Kotlin, Pex, Protodoc, Scala, Shell, Thrift, Protobuf, Helm, and various linting and formatting tools.
How does Pants ensure build security against supply chain attacks?
Pants provides out-of-the-box support for multiple dependency resolves and their corresponding lockfiles, which enables hermetic and repeatable builds that are resilient to supply chain attacks, even in complex scenarios with varying dependency versions.
Can Pants be customized for specific build needs?
Yes, Pants features a rich plugin API built with idiomatic async Python 3, allowing users to create custom rules and extensions to meet specific project requirements.
How does Pants simplify the management of BUILD files?
Pants minimizes the need for extensive BUILD file metadata by using static analysis and sensible defaults to infer most of the necessary information. It can also generate and update these files automatically.
How does Pants integrate with Git for development workflows?
Pants natively understands Git, enabling functionalities such as running tests only on the code affected by changes between a feature branch and the main branch, which optimizes development cycles.
Is Pants suitable for large organizations?
Yes, Pants is trusted by organizations of all sizes, including major companies like Coinbase, IBM, Orca Security, Rippling, Slack, and Salesforce, indicating its enterprise-grade quality and scalability.
Source: pantsbuild.org