A CLI tool for analysing IP addresses in HTTP log files
Parse the Forwarded header (RFC 7239) into an array of objects
parses XML BMFont files into a JavaScript object
Turn node's process.version into something useful.
Parse http headers, works with browserify/xhr
the mighty option parser used by yargs
Parses data: URLs
An advanced url parser supporting git urls too.
utility library for parsing asn1 files for use with browserify-sign.
A very fast HTML parser, generating a simplified DOM, with basic element query support.
Parsing the JavaScript's RegExp in JavaScript.
JavaScript syntax tree transformer, nondestructive pretty-printer, and automatic source map generator
Fast and powerful CSV parser for the browser that supports web workers and streaming large files. Converts CSV to JSON and JSON to CSV.
Unified diff parser
Node.js path.parse() ponyfill
quote and parse shell commands
Parses well-formed HTML (meaning all tags closed) into an AST and back. quickly.
Parses a link header and returns paging information for each contained link.
parses ASCII BMFont files to a JavaScript object
A spec-conformant JavaScript parser for the HTML5 srcset attribute
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reads a BMFont binary in a Buffer into a JSON object
Parse HTTP Content-Type header according to RFC 7231
A high level git url parser for common git providers.
Ruby Gem for Parsing Bro IDS HTTP Logs
Fluentd parser plugin to parse standard Envoy Proxy access logs
Kronk is a command line swiss-army-knife for HTTP services. With Kronk, you easily parse and segregate data, run diffs between the parsed data from different queries, and easily replay logs and loadtest your HTTP applications. Kronk was made possible by the sponsoring of YP.com.
Fluentd parser custom plugin that can parse UPI logs (PredictionLog and RouterLog - https://github.com/caraml-dev/universal-prediction-interface) into json
Minimal set of optimized string scanning methods for high-throughput workloads like log processing, CSV parsing, HTTP parsing, and text analytics. Pure C implementation with no external dependencies.
Library providing a collection of easy-to-use modules, methods, and helpers for interacting with Paystack’s API endpoints. Includes built-in error handling, response parsing and logging. See official paystack docs https://paystack.com/docs/api/
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
Gaussian (http://gaussian.com/) is one of the most popular general purpose computational chemistry software packages. The output genearated by it contains a lot of data which should be structured properly before evaluation. The purpose of the Gaussian Parser is to perform routine operations for better and faster log data processing. Currently it's able to parse the output file and process the data for - Distance matrix - Molecular Orbital Coefficients - Harmonic frequencies
Contentful API wrapper library exposing an ActiveRecord-like interface
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