gcc-toolchain VS rules_python

Compare gcc-toolchain vs rules_python and see what are their differences.

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gcc-toolchain rules_python
1 3
28 380
- 2.6%
8.7 9.0
5 days ago 4 days ago
Starlark Starlark
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of gcc-toolchain. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-23.


Posts with mentions or reviews of rules_python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-23.
  • Incremental Builds for Haskell with Bazel
    7 projects | news.ycombinator.com | 23 Jun 2022
    Python support in Bazel now looks more promising with `rules_python`: https://github.com/bazelbuild/rules_python

    `rules_go` to my understanding is great too.

    Over years, Bazel is not as opinionated as before, mostly because adoptions in different orgs force it to be so.

  • Advantages of Monorepos
    6 projects | news.ycombinator.com | 7 Apr 2022
    I have personally run converted build systems to Bazel, and use it for personal projects as well.

    Bazel 1.0 was released in October 2019. If you were using it "a few years ago", I'm guessing you were using a pre-1.0 version. There's not some cutoff where Bazel magically got easy to use, and I still wouldn't describe it as "easy", but the problem it solves is hard to solve well, and the community support for Bazel has gotten a lot better over the past years.


    The difficulty and complexity of using Bazel is highly variable. I've seen some projects where using Bazel is just super simple and easy, and some projects where using Bazel required a massive effort (custom toolchains and the like).

  • Experimentations on Bazel: Python & FastAPI (1)
    5 projects | dev.to | 18 Apr 2021
    load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") #------------------------------------------------------------------------------ # Python #------------------------------------------------------------------------------ # enable python rules http_archive( name = "rules_python", url = "https://github.com/bazelbuild/rules_python/releases/download/0.2.0/rules_python-0.2.0.tar.gz", sha256 = "778197e26c5fbeb07ac2a2c5ae405b30f6cb7ad1f5510ea6fdac03bded96cc6f", )

What are some alternatives?

When comparing gcc-toolchain and rules_python you can also consider the following projects:

uwsgi-nginx-flask-docker - Docker image with uWSGI and Nginx for Flask applications in Python running in a single container. Optionally with Alpine Linux.

python-streams - A Library to support Writing concise functional code in python

llvm-project - The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.

rules_pyenv - Bazel rules for pyenv (simple python version management)

dbx_build_tools - Dropbox's Bazel rules and tools

pyparsing - Python library for creating PEG parsers [Moved to: https://github.com/pyparsing/pyparsing]

bazel-toolchain - LLVM toolchain for bazel

bazel-skylib - Common useful functions and rules for Bazel

catwiki - CatWiki is a simple wiki that stores its articles as text files

bazel_rules_qt - Bazel rules for Qt5

black - The uncompromising Python code formatter

VFSForGit - Virtual File System for Git: Enable Git at Enterprise Scale