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README.md |
Jotdown
Jotdown is a pull parser Rust library for the Djot markup language. It parses a Djot document into a sequence of events and may also render the events to HTML.
Jotdown aims to be fast and efficient, using a minimal number of allocations. The API should use idiomatic Rust and be easy to use and flexible. The event interface allows clients to e.g. construct an AST or generate any type of output format. It also allows one to perform filters on the document before generating the output. Jotdown aims to be feature complete and match the syntax reference and the reference implementation in terms of output.
Another goal is to keep the implementation minimal and build times low. The current implementation has zero dependencies, if major non-essential features are added or larger dependencies are utilized, these should be optional using feature flags.
Jotdown supports Rust edition 2021, i.e. Rust 1.56 and above.
Usage
Jotdown is primarily a parsing library but also has a minimal CLI implementation and a simple web demo version.
Library
The Jotdown API is inspired by pulldown-cmark and is overall very similar. The Jotdown crate contains in-source documentation, a rendered version is available at https://docs.rs/jotdown.
While Jotdown is usable, it is still in early development and breaking changes to the API may occur frequently. The Djot syntax is also in quite early stages and may also change significantly.
CLI
The Jotdown crate contains a minimal implementation of a CLI that simply reads from standard input and writes HTML to standard output. It can be built from this repository and run locally with cargo:
$ cargo build --release
$ echo "hello world" | ./target/release/djot
<p>hello world</p>
Alternatively, it can be installed from the crates.io repository using simply:
$ cargo install jotdown
It will be placed in ~/.cargo/bin/jotdown
.
Web demo
The web demo is a version of Jotdown compiled to WebAssembly and runnable in a web browser. It is useful for experimenting with the djot syntax and exploring what events are emitted or what output is rendered.
An online version is available at https://hllmn.net/projects/jotdown/demo. It can also be run locally:
$ cd examples/jotdown_wasm
$ make run
You may need to install wasm-pack and make sure your Rust compiler has the WebAssembly backend.
Status
Correctness
As of writing, Jotdown implements all the current features of the Djot syntax, including:
- links, images, either inline or with reference link definitions,
- autolinks,
- inline typesetting
- emphasis,
- highlight,
- super/subscript,
- insert/delete,
- smart punctuation,
- inline verbatim, code and code blocks,
- math,
- line breaks,
- comments,
- symbols,
- headings, including hierarchical sections, and automatic links
- block quotes,
- lists,
- unordered,
- ordered,
- task,
- definitions,
- raw inline and blocks,
- thematic breaks,
- pipe tables,
- attributes, on inline and block elements,
- inline spans and div blocks,
- footnotes.
The HTML output is in some cases not exactly identical to the reference implementation. There are two test suites that compares Jotdown with the reference implementation. One uses the unit tests of the reference implementation and runs them with Jotdown. It can be run with:
$ make suite
Another target uses the reference implementation to generate html output for its benchmark files and compares it to the output of Jotdown:
$ make suite_bench
Note that it requires node in order to run the reference implementation.
Performance
There are benchmarks available to measure the performance. The input files are borrowed from the reference implementation. To fetch the input files symlink them to the bench directory, run:
make bench
There are two separate benchmarks suites that can be run; criterion and iai. Criterion measures statistical real-time performance while iai measures exact number of executed instructions and memory accesses. To run the criterion benchmarks, use
cargo bench -p bench-crit [filter]
Alternatively, if cargo-criterion
is installed:
cargo criterion -p bench-crit -- [filter]
To run the iai benchmarks, use
cargo bench -p bench-iai