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ron | pyyaml | |
---|---|---|
24 | 16 | |
3,096 | 2,425 | |
1.8% | 1.3% | |
7.9 | 3.9 | |
9 days ago | 8 days ago | |
Rust | Python | |
Apache License 2.0 | MIT License |
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.
ron
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XML is better than YAML
Whenever this kind of arguments come up, I am sad that RON (https://github.com/ron-rs/ron) is not better known. To me it feels like a cleaner and better JSON.
In any case, my little experience with it had made me hate YAML. Generally speaking, I have come to dislike any language with significant whitespace other than Haskell.
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What config format do you prefer?
Part of the reason why I migrated away from RON in system76-scheduler is because I needed to rely on the 253-untagged-enums branch from https://github.com/MomoLangenstein/ron. Which still isn't resolved today: https://github.com/ron-rs/ron/pull/451.
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Ron: Rusty Object Notation
Serde is strongly, strictly typed: you have to specify what type you want to decode to. It’s nothing like Python’s Pickle protocol.
See, for example, https://github.com/ron-rs/ron/blob/484fcab0686dfd18c7e29b6c1..., where it (in a type-inferency way) says “parse as Config”.
- JSON vs. XML with Douglas Crockford
- Ron – Rusty Object Notation
- They're rebuilding the Death Star of complexity
pyyaml
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Cython 3.0 Released
PyYAML knew about the breakage since january 2022[0], and nothing really happened. After a year and a half with lots of alphas and betas, I don't think there is much cython could do, short of fixing PyYAML themselves.
- Cython v3 release breaking PyYAML install well used in Python ecosystem
- Cython and pyyaml is breaking many builds
- I'm needing a hand, I do not understand some (seemingly) simple Python stuff.
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is there any difference between using string.format() or an fstring?
They did finally change the default, in PyYAML 6, after many many bugs pointing out that their previous approach is broken (including one by yours truly), so the default is now safe.
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Using Rust to not have to touch Yaml in k8s land
Note some parsers, most notably pyyaml are still at yaml 1.1, because 13 years is just not enough time to update it.
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JSON is not a YAML subset
That part of the YAML 1.2 spec is in conflict with reality, though. The base of YAML 1.1 documents is large enough that a backwards-incompatible change to default behavior is for practical purposes impossible.
YAML 1.1 was released in 2005, and 1.2 in 2009 -- only four years later. But here we are, in 2022, and YAML 1.1 is still the default (in many cases, only) version supported. That's why the "Norway problem" persists -- it's not possible for the parser to know whether an un-versioned YAML document containing "a: no" should parse the same as {"a": false} or {"a": "no"}.
Python (PyYAML) doesn't support 1.2 yet: https://github.com/yaml/pyyaml/issues/116
Ruby (Psych) ditto -- I can't even find a tracking issue to enable it.
Go (go-yaml) is a mixture of YAML 1.1 and 1.2, depending on the author's preferences.
Also, as a rough guideline, you can't have a backwards-incompatible revision of a versioned spec declare that it's the new default version, because that breaks all existing users.
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I accidentally used YAML.parse instead of JSON.parse, and it worked?
Many parsers either default to YAML pre-1.2 or do not even expose a YAML 1.2 option. PyYAML has no 1.2 option, for example. So unless Ansible is using something other than PyYAML...
Relevant (open) PR: https://github.com/yaml/pyyaml/pull/555
- AttributeError: '_io.TextIOWrapper' object has no attribute 'items'
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Why doesn't yaml allow safe_dump for decimals?
Are you perhaps talking about decimal.Decimal? https://github.com/yaml/pyyaml/issues/255
What are some alternatives?
toml.io - Source Code for toml.io
confuse - painless YAML config files for Python
json5 - JSON5 — JSON for Humans
strictyaml - Type-safe YAML parser and validator.
kdl - the kdl document language specifications
yamllint - A linter for YAML files.
minimal-yaml - A minimalist, zero-copy parser for a strict subset of the Yaml specification.
jsonnet - Jsonnet - The data templating language
yaml-reference-parser
marshmallow - A lightweight library for converting complex objects to and from simple Python datatypes.
typescript-json-schema - Generate json-schema from your Typescript sources
python-strict-yaml-parsing - Examples of strict yaml parsing in python