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  1. Stackups
  2. DevOps
  3. Build Automation
  4. Java Build Tools
  5. Bazel vs Nix

Bazel vs Nix

OverviewComparisonAlternatives

Overview

Bazel
Bazel
Stacks313
Followers579
Votes133
Nix
Nix
Stacks598
Followers112
Votes0
GitHub Stars15.4K
Forks1.8K

Bazel vs Nix: What are the differences?

Introduction:

This Markdown code provides the key differences between Bazel and Nix, two popular build and package management tools. The differences are described in specific paragraphs, focusing on important aspects.

  1. Build and Dependency Management Approach: Bazel follows a "build first" approach, focusing on reproducible builds and extensive caching to increase performance. It uses a workspace model, where the entire dependency graph is known upfront. On the other hand, Nix takes a "package first" approach, emphasizing determinism and purity. It builds packages by evaluating build expressions, allowing for highly reproducible environments.

  2. Language Support: Bazel primarily supports languages like Java, C++, and Python. Its rule language, Starlark, allows for custom build and extension rules. Nix, in contrast, supports a broader range of languages and platforms, including but not limited to Haskell, Rust, and JavaScript. Nix also provides reproducible environments for any programming language.

  3. Philosophy: Bazel aims to optimize build performance by aggressively caching and reusing build artifacts, resulting in fast and highly scalable builds. It encourages a strong separation between build and runtime, avoiding often unnecessary rebuilds. Nix, on the other hand, focuses on reproducibility and declarative package management. It promotes the idea of hermetic builds and fully deterministic outputs, enabling reliable and controlled deployments.

  4. Scalability: Bazel is designed to handle large-scale projects with extensive dependencies and complex build requirements. It is optimized for incremental builds and parallel execution, allowing for faster development cycles. Nix, while also scalable, puts a stronger emphasis on deterministic and reproducible package management, making it suitable for both small and large-scale projects.

  5. Ecosystem and Community: Bazel has a growing ecosystem, with a significant number of projects using it for their build and test infrastructure. It benefits from being an open-source project supported by a large community and backed by Google. Nix, although less known in comparison, has its own ecosystem and community, with a dedicated group of developers and users contributing to its development and maintenance.

  6. Tool Features: Bazel provides various advanced features like remote cache, distributed build, and build farm integration, allowing for high-performance builds across clusters of machines. It also offers built-in support for testing frameworks like JUnit and PyTest, making it easier to write and execute tests. Nix, while not as feature-rich in terms of build optimizations, excels in its ability to create isolated and reproducible build environments, enabling precise control over dependencies and their versions.

In summary, Bazel focuses on reproducibility and highly optimized builds, primarily targeting Java, C++, and Python, with a growing community and advanced features. Nix, on the other hand, prioritizes determinism, broader language support, and declarative package management, providing reproducible environments for a wider range of programming languages.

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Detailed Comparison

Bazel
Bazel
Nix
Nix

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.

It makes package management reliable and reproducible. It provides atomic upgrades and rollbacks, side-by-side installation of multiple versions of a package, multi-user package management and easy setup of build environments.

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
-
Statistics
GitHub Stars
-
GitHub Stars
15.4K
GitHub Forks
-
GitHub Forks
1.8K
Stacks
313
Stacks
598
Followers
579
Followers
112
Votes
133
Votes
0
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
No community feedback yet
Integrations
Java
Java
Objective-C
Objective-C
C++
C++
No integrations available

What are some alternatives to Bazel, Nix?

Meteor

Meteor

A Meteor application is a mix of JavaScript that runs inside a client web browser, JavaScript that runs on the Meteor server inside a Node.js container, and all the supporting HTML fragments, CSS rules, and static assets.

Bower

Bower

Bower is a package manager for the web. It offers a generic, unopinionated solution to the problem of front-end package management, while exposing the package dependency model via an API that can be consumed by a more opinionated build stack. There are no system wide dependencies, no dependencies are shared between different apps, and the dependency tree is flat.

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.

Elm

Elm

Writing HTML apps is super easy with elm-lang/html. Not only does it render extremely fast, it also quietly guides you towards well-architected code.

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.

Julia

Julia

Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.

Racket

Racket

It is a general-purpose, multi-paradigm programming language based on the Scheme dialect of Lisp. It is designed to be a platform for programming language design and implementation. It is also used for scripting, computer science education, and research.

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.

PureScript

PureScript

A small strongly typed programming language with expressive types that compiles to JavaScript, written in and inspired by Haskell.

Composer

Composer

It is a tool for dependency management in PHP. It allows you to declare the libraries your project depends on and it will manage (install/update) them for you.

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