coreutils
GNU coreutils for agentOS (sh, cat, ls, cp, sort, and 80+ commands)
JupyterLab - Core Utilities
Common WASM command set for agentOS (coreutils + sed + grep + gawk + findutils + diffutils + tar + gzip)
WebAssembly port of FreeBSD coreutils (and more!)
Lumino Core Utilities
expands fs.readlink() similar to readlink from GNU coreutils
PhosphorJS - Core Utilities
Cross-platform, general-purpose, JavaScript core library for Node, Deno and the browser. Intended to be used in conjunction with `@sv443-network/userutils` and `@sv443-network/djsutils`, but can be used independently as well.
A Node.js implementation of the (GNU coreutils) 'tee' redirection command version 8.32.
Pre-build version of JavaScriptCore to be used by React Native apps
CoreUtils is a powerful JavaScript utility library that provides a wide range of functions to simplify common programming tasks.
Expands symbolic links and prints the resolved absolute filepath
Bash commands ported to Windows thru GnuWin32 CoreUtils, packaged with libintl-2 and libiconv-2.
nodejsutils for node usage
Find semver versions in a string: `unicorn v1.2.3` → `1.2.3`
This is a simple project to bring together and facilitate some simple resources from the world of Nodejs and Typescript.
ecmaOS: Core utilities for the ecmaOS framework
Core utilities and services for MavenWorks
Wrapper script around nodemon that will automatically watch all linked modules
JupyterLab - Core Utilities
JupyterLab - Core Utilities
JS library for producing JSON in canonical format
QuantLab - Core Utilities
coreutils ~ GNU coreutils (updated); implemented as universal (cross-platform) utils, written in Rust
A crate with abstractions to implement UNIX core utilities
GNU Coreutils package implementation with Rust
Optional coreutils builtins for brush-shell (powered by uutils/coreutils)
High-performance Rust implementation of GNU sort with zero-copy operations, SIMD optimization, and parallel processing
Coreutils binaries for ninja files
Core utils in Rust
Core utilities for command line, with focus on small size, speed and security
Authorization and Authentication services.
Json service.
Json Web Token service.
Logger configuration based on fern.
Provides GNU coreutils commands (ls, cat, head, tail, wc, etc.) running in a WebAssembly sandbox via a WASI runtime (wasmtime, wasmer, etc.).
ProUtils is a collect of handy command line tools. Think of it as a supplement to the ubinqutous GNU CoreUtils.
A command-line Dropbox interface based on GNU coreutils, GNU ftp, and lftp. Features include smart tab completion, globbing, and interactive help.
Log2json lets you read, filter and send logs as JSON objects via Unix pipes. It is inspired by Logstash, and is meant to be compatible with it at the JSON event/record level so that it can easily work with Kibana. Reading logs is done via a shell script(eg, `tail`) 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
Log2json lets you read, filter and send logs as JSON objects via Unix pipes. It is inspired by Logstash, and is meant to be compatible with it at the JSON event/record level so that it can easily work with Kibana. Reading logs is done via a shell script(eg, `tail`) 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
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