semvec/pypi-packages huggingface dataset:
tree-sitter-xml 0.7.0
XML & DTD grammars for tree-sitter
License: MIT
Requires Python: >=3.9
Keywords: incremental, parsing, tree-sitter, xml

# tree-sitter-xml

[![CI][ci]](https://github.com/tree-sitter-grammars/tree-sitter-xml/actions)
[![discord][discord]](https://discord.gg/w7nTvsVJhm)
[![matrix][matrix]](https://matrix.to/#/#tree-sitter-chat:matrix.org)
[![npm][npm]](https://www.npmjs.com/package/@tree-sitter-grammars/tree-sitter-xml)
[![crates][crates]](https://crates.io/crates/tree-sitter-xml)
[![pypi][pypi]](https://pypi.org/project/tree-sitter-xml/)

A tree-sitter parser for XML & DTD files.

## References

- [Extensible Markup Language (XML) 1.0](https://www.w3.org/TR/xml/)
- [Associating Schemas with XML documents 1.0](https://www.w3.org/TR/xml-model/)
- [Associating Style Sheets with XML documents 1.0](https://www.w3.org/TR/xml-stylesheet/)

## Editors

- [x] Neovim
- [ ] Helix _(has alternatives)_
- [x] Emacs
- [ ] Zed

[ci]: https://img.shields.io/github/actions/workflow/status/tree-sitter-grammars/tree-sitter-xml/ci.yml?logo=github&label=CI
[discord]: https://img.shields.io/discord/1063097320771698699?logo=discord&label=discord
[matrix]: https://img.shields.io/matrix/tree-sitter-chat%3Amatrix.org?logo=matrix&label=matrix
[npm]: https://img.shields.io/npm/v/%40tree-sitter-grammars%2Ftree-sitter-xml?logo=npm
[crates]: https://img.shields.io/crates/v/tree-sitter-xml?logo=rust
[pypi]: https://img.shields.io/pypi/v/tree-sitter-xml?logo=pypi&logoColor=ffd242
pydantic2zod 0.1.1
Pydantic to zod declaration compiler.
License: MIT
Requires Python: <4.0,>=3.10

# Pydantic to Zod compiler

Transfer your type safe Python data models to TypeScript:
[pydantic](pydantic-docs.helpmanual.io/) -> [zod](zod.dev/).

* Retains the class and field names, comments.
* Customize the output, etc.
* Suports both **pydantic** v1 and v2.

![example](example.gif)

See the [docs](docs.md).

## Similar projects

* https://github.com/cs-cordero/py-ts-interfaces
estimagic 0.5.1
Tools to solve difficult numerical optimization problems.
License: MIT
Requires Python: >=3.10
Keywords: derivative free optimization, estimation, extremum estimation, finite differences, global optimization, inference, maximum likelihood, method of simulated moments, nonlinear optimization, numerical differentiation, optimization, parallel optimization, statistics

# estimagic (renamed to optimagic)

The project has been renamed to optimagic. The new repository is at
https://github.com/optimagic-dev/optimagic/. This repository is used temporarily to
release optimagic under the name estimagic.