StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Build Automation
  4. Java Build Tools
  5. Bazel vs Please

Bazel vs Please

OverviewComparisonAlternatives

Overview

Bazel
Bazel
Stacks314
Followers579
Votes133
Please
Please
Stacks13
Followers14
Votes4
GitHub Stars2.6K
Forks210

Bazel vs Please: What are the differences?

Introduction

Bazel and Please are both build systems used in software development, but they have several key differences. This markdown code highlights those differences in a concise and specific manner.

  1. Scalability: Bazel is designed for large-scale projects with hundreds or thousands of targets, making it suitable for organizations with extensive and complex codebases. Please, on the other hand, is simpler and more suited for smaller projects with fewer targets.

  2. Rule Language: Bazel uses its own rule language called Starlark, which is a dialect of Python and provides more flexibility in defining build rules. Please, on the other hand, uses a simpler, more declarative rule language that may be easier for beginners to understand and use.

  3. Build Caching: Bazel has built-in support for caching build outputs, which can dramatically improve build times, especially when multiple developers or build machines are involved. Please does not have native build caching, although it can be integrated with other caching solutions.

  4. Language Support: Bazel supports a wide range of programming languages, including Java, C++, Python, and many others. Please focuses primarily on supporting Python projects, although it can also be used with other languages.

  5. Community and Ecosystem: Bazel has a larger and more active community, with extensive documentation, tutorials, and resources available. It is also developed and maintained by Google, which provides additional credibility and resources. Please, while it does have a community, may have less extensive support and resources available.

  6. Ease of Use: Please aims to be simple and easy to use, with a focus on reducing complexity and providing a straightforward build system for smaller projects. Bazel, while powerful and scalable, can be more complex to set up and configure, especially for beginners or those unfamiliar with its concepts.

In summary, Bazel is highly scalable and suited for large projects, supports multiple languages, has built-in build caching, and has a large and active community. Please, on the other hand, is simpler, easier to use, primarily focuses on Python projects, and may have a smaller community and ecosystem.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Bazel
Bazel
Please
Please

Bazel is a build tool that builds code quickly and reliably. It is used to build the majority of Google's software, and thus it has been designed to handle build problems present in Google's development environment.

Please is a cross-language build system with an emphasis on high performance, extensibility and reproduceability. It supports a number of popular languages and can automate nearly any aspect of your build process.

Multi-language support: Bazel supports Java, Objective-C and C++ out of the box, and can be extended to support arbitrary programming languages;High-level build language: Projects are described in the BUILD language, a concise text format that describes a project as sets of small interconnected libraries, binaries and tests. By contrast, with tools like Make you have to describe individual files and compiler invocations;Multi-platform support: The same tool and the same BUILD files can be used to build software for different architectures, and even different platforms. At Google, we use Bazel to build both server applications running on systems in our data centers and client apps running on mobile phones;Reproducibility: In BUILD files, each library, test, and binary must specify its direct dependencies completely. Bazel uses this dependency information to know what must be rebuilt when you make changes to a source file, and which tasks can run in parallel. This means that all builds are incremental and will always produce the same result;Scalable: Bazel can handle large builds
Build files; Build targets; Build labels
Statistics
GitHub Stars
-
GitHub Stars
2.6K
GitHub Forks
-
GitHub Forks
210
Stacks
314
Stacks
13
Followers
579
Followers
14
Votes
133
Votes
4
Pros & Cons
Pros
  • 28
    Fast
  • 20
    Deterministic incremental builds
  • 17
    Correct
  • 16
    Multi-language
  • 14
    Enforces declared inputs/outputs
Cons
  • 3
    No Windows Support
  • 2
    Bad IntelliJ support
  • 1
    Constant breaking changes
  • 1
    Lack of Documentation
  • 1
    Learning Curve
Pros
  • 1
    No single WORKSPACE file that nobody owns or understand
  • 1
    Built-in languages are defined in the same language
  • 1
    Multi-language
  • 1
    IntelliJ support
Cons
  • 1
    No Windows support
Integrations
Java
Java
Objective-C
Objective-C
C++
C++
Python
Python
Java
Java
C++
C++
Golang
Golang

What are some alternatives to Bazel, Please?

Apache Maven

Apache Maven

Maven allows a project to build using its project object model (POM) and a set of plugins that are shared by all projects using Maven, providing a uniform build system. Once you familiarize yourself with how one Maven project builds you automatically know how all Maven projects build saving you immense amounts of time when trying to navigate many projects.

Gradle

Gradle

Gradle is a build tool with a focus on build automation and support for multi-language development. If you are building, testing, publishing, and deploying software on any platform, Gradle offers a flexible model that can support the entire development lifecycle from compiling and packaging code to publishing web sites.

Pants

Pants

Pants is a build system for Java, Scala and Python. It works particularly well for a source code repository that contains many distinct projects.

JitPack

JitPack

JitPack is an easy to use package repository for Gradle/Sbt and Maven projects. We build GitHub projects on demand and provides ready-to-use packages.

SBT

SBT

It is similar to Java's Maven and Ant. Its main features are: Native support for compiling Scala code and integrating with many Scala test frameworks.

Buck

Buck

Buck encourages the creation of small, reusable modules consisting of code and resources, and supports a variety of languages on many platforms.

Apache Ant

Apache Ant

Ant is a Java-based build tool. In theory, it is kind of like Make, without Make's wrinkles and with the full portability of pure Java code.

CMake

CMake

It is used to control the software compilation process using simple platform and compiler independent configuration files, and generate native makefiles and workspaces that can be used in the compiler environment of the user's choice.

Sonatype Nexus

Sonatype Nexus

It is an open source repository that supports many artifact formats, including Docker, Java™ and npm. With the Nexus tool integration, pipelines in your toolchain can publish and retrieve versioned apps and their dependencies

JFrog Artifactory

JFrog Artifactory

It integrates with your existing ecosystem supporting end-to-end binary management that overcomes the complexity of working with different software package management systems, and provides consistency to your CI/CD workflow.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana