AI tells you what to read first. Prioritize your reading queue by relevance, novelty, and strategy.
core-js compat
Generate third party license disclaimers in pnpm-based projects
Manipulate SVG path data (path[d] attribute content) simply and efficiently.
Standard library
Standard library
Medium's like reading time estimation.
Ultra-low latency data at the edge
A lightweight Node.js module to recursively read files in a directory using ES6 Promises
文の敬体(ですます調)、常体(である調)を解析
Adds estimated reading time to your markdown files
Throw, identify, and decode Solana JavaScript errors
Filter out reverted commits parsed by conventional-commits-parser.
PNG encoder/decoder in pure JS, supporting any bit size & interlace, async & sync with full test suite.
[![Build Status][ci-img]][ci] [![Coverage Status][cov-img]][cov] [![NPM Published Version][npm-img]][npm] ![Node Version][node-img] [ running in its own process. You then configure(see the `syslog2json` or the `nginxlog2json` script for examples) and run your filters in Ruby using the `Log2Json` module and its contained helper classes. `Log2Json` reads from stdin the logs(one log record per line), parses the log lines into JSON records, and then serializes and writes the records to stdout, which then can be piped to another process for processing or sending it to somewhere else. Currently, Log2json ships with a `tail-log` script that can be run as the input process. It's the same as using the Linux `tail` utility with the `-v -F` options except that it also tracks the positions(as the numbers of lines read from the beginning of the files) in a few files in the file system so that if the input process is interrupted, it can continue reading from where it left off next time if the files had been followed. This feature is similar to the sincedb feature in Logstash's file input. Note: If you don't need the tracking feature(ie, you are fine with always tailling from the end of file with `-v -F -n0`), then you can just use the `tail` utility that comes with your Linux distribution.(Or more specifically, the `tail` from the GNU coreutils). Other versions of the `tail` utility may also work, but are not tested. The input protocol expected by Log2json is very simple and documented in the source code. ** The `tail-log` script uses a patched version of `tail` from the GNU coreutils package. A binary of the `tail` utility compiled for Ubuntu 12.04 LTS is included with the Log2json gem. If the binary doesn't work for your distribution, then you'll need to get GNU coreutils-8.13, apply the patch(it can be found in the src/ directory of the installed gem), and then replace the bin/tail binary in the directory of the installed gem with your version of the binary. ** P.S. If you know of a way to configure and compile ONLY the tail program in coreutils, please let me know! The reason I'm not building tail post gem installation is that it takes too long to configure && make because that actually builds every utilties in coreutils. For shipping logs to Redis, there's the `lines2redis` script that can be used as the output process in the pipe. For shipping logs from Redis to ElasticSearch, Log2json provides a `redis2es` script. Finally here's an example of Log2json in action: From a client machine: tail-log /var/log/{sys,mail}log /var/log/{kern,auth}.log | syslog2json | queue=jsonlogs \ flush_size=20 \ flush_interval=30 \ lines2redis host.to.redis.server 6379 0 # use redis DB 0 On the Redis server: redis_queue=jsonlogs redis2es host.to.es.server Resources that help writing log2json filters: - look at log2json.rb source and example filters - http://grokdebug.herokuapp.com/ - http://www.ruby-doc.org/stdlib-1.9.3/libdoc/date/rdoc/DateTime.html#method-i-strftime
This gem is a logstash plugin required to be installed on top of the Logstash core pipeline using $LS_HOME/bin/plugin install gemname. This gem is not a stand-alone program
Transform your job search and candidate matching capabilities with Cloud Talent Solution, designed to support enterprise talent acquisition technology and evolve with your growing needs. This AI solution includes features such as Job Search and Profile Search to provide candidates and employers with an enhanced talent acquisition experience. Note that google-cloud-talent-v4beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-talent instead. See the readme for more details.
Transform your job search and candidate matching capabilities with Cloud Talent Solution, designed to support enterprise talent acquisition technology and evolve with your growing needs. This AI solution includes features such as Job Search and Profile Search to provide candidates and employers with an enhanced talent acquisition experience. Note that google-cloud-talent-v4 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-talent instead. See the readme for more details.
logstash filter plugin reading varnishlog grouped by id
Hx is a simple static site generator in the spirit of Hobix which reads a YAML configuration file, constructs a filter graph, and generates output files.
This pure Ruby library can read and write PNG images without depending on an external image library, like RMagick. It tries to be memory efficient and reasonably fast. It supports reading and writing all PNG variants that are defined in the specification, with one limitation: only 8-bit color depth is supported. It supports all transparency, interlacing and filtering options the PNG specifications allows. It can also read and write textual metadata from PNG files. Low-level read/write access to PNG chunks is also possible. This library supports simple drawing on the image canvas and simple operations like alpha composition and cropping. Finally, it can import from and export to RMagick for interoperability. Also, have a look at OilyPNG at https://github.com/wvanbergen/oily_png. OilyPNG is a drop in mixin module that implements some of the ChunkyPNG algorithms in C, which provides a massive speed boost to encoding and decoding.
Read only filter for Rails ActiveController, allows for protection of controller actions from create/update/destroy.
DAP reads data using an input plugin, transforms it through a series of filters, and prints it out again using an output plugin. Every record is treated as a document (aka: hash/dict) and filters are used to reduce, expand, and transform these documents as they pass through. Think of DAP as a mashup between sed, awk, grep, csvtool, and jq, with map/reduce capabilities.
This gem provides utilities for reading, filtering, mapping, and writing JSON Lines formatted files in Ruby.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.