ruff VS ast-grep

Leverage Python Tools: Tapyr takes advantage of Python’s ecosystem tools, including ruff, pytest, and others.

I think I mention this all the time when this comes up, but I learned the most 'best practices' through using ruff.

https://docs.astral.sh/ruff/

I just installed and enabled all the rules by setting

Ruff is a Python linter that helps to identify and remove code smells. Over 700 built-in rules: Ruff includes native re-implementations of popular Flake8 plugins, like flake8-bugbear. And also built-in caching to avoid re-analyzing unchanged files.

Because the Python's "ast" modules is too slow, and lacks proper "format" feature (it has unparse but it removes comments, and forgets the current style completely). I use "ruff" a lot (https://github.com/astral-sh/ruff) which is in Rust. But I want to be able to implement fast custom linters in Go (linters that ruff / fixit lack, and Python linters lack or are too slow).

I think it’s interesting that rye uses ruff (https://github.com/astral-sh/ruff) for linting and formatting. That’s the right call, and it’s also correct to bundle that in for an integrated dev experience.

I had to guess, that’s the path that the Astral team would take as well - expand ruff’s capabilities so it can do everything a Python developer needs. So the vision that Armin is describing here might be achieved by ruff eventually. They’d have an advantage that they’re not a single person maintenance team, but the disadvantage of needing to show a return to their investors.

Adding more weight to ease of setup and configurability, the choice came down on flake8. It is easy to integrate, since its also available through pip and let’s you configure which standards you want to omit by simply stating them as a list via the --ignore switch. Moving to ruff appears quite smooth, so future updates may do so.

I confess I stole the pip recipe from Charlie :D

https://github.com/astral-sh/ruff/blob/main/.github/workflow...

Ruff is an emerging tool in the Python ecosystem that describes itself as "an extremely fast Python linter and code formatter, written in Rust".

This article illustrates the usage of ast-grep, a tool designed to locate and substitute patterns in your codebase, towards easing your migration to React 19.

This looks great, thanks for building and sharing it.

Interested folks may also want to check out ast-grep:

https://github.com/ast-grep/ast-grep

ast-grep is a command-line tool that lets you search and transform code written in many programming languages using abstract syntax trees (ASTs). ASTs are data structures that capture the syntactic and semantic structure of source code. With ast-grep, you can write patterns as if you are writing ordinary code, and it will match all code that has the same syntactical structure. And if you need more power, you can use YAML, a rule system that allows you to write more sophisticated linting rules or code modifications.

I really like this - it means the tool is available to people with familiarity of any of those four distribution mechanisms.

You can also download pre-built binaries from their releases page: https://github.com/ast-grep/ast-grep/releases/tag/0.14.2

On top of that, they offer API bindings for it in three different languages:

- Rust (not yet stable): https://docs.rs/ast-grep-core/latest/ast_grep_core/

- JavaScript/TypeScript: https://ast-grep.github.io/guide/api-usage/js-api.html

- Python: https://ast-grep.github.io/guide/api-usage/py-api.html

It's rare to see a tool/library offer this depth of language support out of the box.

Is there an open source library that does this? Maybe something on top of ast-grep