Fast node `require('process')` for modern browsers
## Scripts that make your process fast using the custom scripts that every developer is using daily.
A well-tested CSS minifier
A small fast zlib stream built on [minipass](http://npm.im/minipass) and Node.js's zlib binding.
Efficient implementation of Levenshtein algorithm with locale-specific collator support.
Fast deep equal
Fastest deep equal comparison for React. Great for React.memo & shouldComponentUpdate. Also really fast general-purpose deep comparison.
Process execution for humans
Property based testing framework for JavaScript (like QuickCheck)
React is a JavaScript library for building user interfaces.
Validate XML, Parse XML, Build XML without C/C++ based libraries
CSV parser and writer
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A collection of utility libraries used by other Facebook JS projects
fast-csv formatting module
fast-csv parsing package
Dependency-free RFC 3986 URI toolbox
fork of fast-memoize and support esm
deterministic `JSON.stringify()` - a faster version of substack's json-stable-strigify without jsonify
Build XML from JSON without C/C++ based libraries
A fast and minimal alternative to globby and fast-glob
Parse HTTP Content-Type header according to RFC 7231
Force V8 to use fast properties for an object
Build and manage the fast-json-stringify instances for the fastify framework
ruby-vips is a binding for the libvips image processing library. It is fast and it can process large images without loading the whole image in memory.
Fast background processing framework for Ruby and RabbitMQ
Fast background processing framework for Ruby and RabbitMQ
Fast ExecJS Runtime using Process as a Context.
Fast processing of FASTA/FASTQ files - a ruby wrapper around seqtk
A library for fast and efficient processing of intervals.
Fast background processing framework for Ruby and RabbitMQ
Background processing at warp speed for Ruby
I introduced Ruby and Apache Arrow integration including the "super fast large data interchange and processing" Apache Arrow feature at RubyKaigi Takeout 2021. This talk introduces how we can use the "super fast large data interchange and processing" Apache Arrow feature in Ruby. Here are some use cases: * Fast data retrieval (fast (({pluck}))) from DB such as MySQL and PostgreSQL for batch processes in a Ruby on Rails application * Fast data interchange with JavaScript for dynamic visualization in a Ruby on Rails application * Fast OLAP with in-process DB such as DuckDB and Apache Arrow DataFusion in a Ruby on Rails application or irb session
Walks one or more text files, which may be gzipped, allowing line-by-line processing of the contents
Incredibly fast pure-ruby key-value store
Ruby wrapper for libsndfile. Reads/writes data as GSL matrices, to allow fast processing.
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