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@formatjs/icu-messageformat-parser
Advanced tools
Hand-written ICU MessageFormat parser with compatible output as
intl-messageformat-parser
but 6 - 10 times as fast.
$ bazel run //packages/icu-messageformat-parser/benchmark:benchmark
complex_msg AST length 2599
normal_msg AST length 400
simple_msg AST length 79
string_msg AST length 36
complex_msg: 21.39 µs (48,112 ops/sec)
normal_msg: 3.10 µs (337,642 ops/sec)
simple_msg: 0.54 µs (1,910,194 ops/sec)
string_msg: 0.15 µs (7,461,955 ops/sec)
The Rust parser (optimized build) is 2.3-3.5x faster than the JavaScript parser:
$ bazel run -c opt //crates/icu_messageformat_parser:parser_bench -- --bench --output-format bencher
complex_msg: 9.43 µs (2.27x faster than JS)
normal_msg: 1.18 µs (2.63x faster than JS)
simple_msg: 153 ns (3.55x faster than JS)
string_msg: 59 ns (2.47x faster than JS)
The Rust parser is also faster than the SWC ICU MessageFormat parser in this
benchmark, ranging from 6% faster on normal_msg to 2.14x faster on
string_msg.
This package is a predecessor of @formatjs/icu-messageformat-parser and offers similar functionality for parsing ICU MessageFormat strings. However, @formatjs/icu-messageformat-parser is more up-to-date and maintained by the FormatJS team.
Messageformat is a more comprehensive library that not only parses ICU MessageFormat strings but also compiles them into functions that can be used for formatting messages. It provides a higher-level API compared to @formatjs/icu-messageformat-parser.
Intl-messageformat is another library from the FormatJS suite that builds on top of the parsing capabilities to provide a full message formatting solution. It uses the parser internally but exposes a higher-level API for formatting operations.
FAQs
Unknown package
The npm package @formatjs/icu-messageformat-parser receives a total of 12,513,429 weekly downloads. As such, @formatjs/icu-messageformat-parser popularity was classified as popular.
We found that @formatjs/icu-messageformat-parser demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
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Research
Socket found 37 malicious PyPI wheels that abuse Python startup hooks to launch a Bun-powered credential stealer tied to Mini Shai-Hulud/Miasma.

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