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pino-multi-stream - 🌲 A wrapper for Pino to provide Bunyan's multiple stream API
pino-multi-stream is a wrapper around the pino logger. The purpose of pino-multi-stream is to provide a stop-gap method for migrating from the Bunyan logger. Whereas pino allows only one destination stream, pino-multi-stream allows multiple destination streams via the same configuration API as Bunyan.Please see the caveats section for some important information regarding the performance of this module.
PINO 3 is a client/server chatsystem for the Windows platform based on TCP/IP. It consists of two application (PINO 3 as client and PINO 3-Server as server) and supports all required modern features (user registrations, multiple rooms, user groups,....).
Create awesome Express.js applications with best of breed tech including ES.next via Babel.js, structured logging with Pino, API validation and interactive documentation via Swagger, environment based config with dotenv, and linting with ESLint. generator-express-no-stress gets you up and running in seconds. It's ridiculously easy to configure. Heck, just take the defaults. Start it. Write code.
tinylog is a lightweight open-source logging framework for Java and Android, optimized for ease of use. The logger of tinylog is static, so it isn't necessary to create an instance of the logger before logging. By default all log entries of the level info or higher are written to the console.
Automi abstracts away (not too far away) the gnarly details of using Go channels to create pipelined and staged processes. It exposes higher-level API to compose and integrate stream of data over Go channels for processing. This is still alpha work. The API is still evolving and changing rapidly with each commit (beware). Nevertheless, the core concepts are have been bolted onto the API. The following example shows how Automi could be used to compose a multi-stage pipeline to process stream of data from a csv file. The code implements stream processing based on the pipeline patterns. What is clearly absent, however, is the low level channel communication code to coordinate and synchronize goroutines. The programmer is provided a clean surface to express business code without the noisy channel infrastructure code. Underneath the cover however, Automi is using patterns similar to the pipeline patterns to create safe and concurrent structures to execute the processing of the data stream.
A powerful and customizable logging library for node.js. support color console with timestamp, line number, method name, file name and call stack. you can set transport to file, stream, database(ex: mongodb and clouddb, simpledb). keywords: log, logger, trace
Locked Stream is a set of tools for graphics/game development. Including a powerful 3d engine with name of quot;Aikaquot; (with multi-thread support, multi-platform perspective, etc), 3d editor (with a node-based edit style) and so on.
AxPipe - A binary stream abstraction C++ class framework for efficient implementation of both push and pull-model filters and all kinds of sources and sinks. Implementation-transparent optional multi-threading. Efficient reference-counted buffer handling
TBOX is a glib-like cross-platform C library that is simple to use yet powerful in nature. The project focuses on making C development easier and provides many modules (.e.g stream, coroutine, regex, container, algorithm ...), so that any developer can quickly pick it up and enjoy the productivity boost when developing in C language.
Multi-platform C++ class library, abstracting many system facilities, such as threads, mutexes, conditions, socket stream I/O. Supporting many industry standards such as XML/DOM, and HTTP. Multi-threaded socket server framework.
Oracle, ODBC, DB2-CLI Template Library (OTL). Provides C++ stream like interface to relational databases (SQL), like Oracle, MS SQL Server, DB2, MySQL, PostgreSQL, Interbase, etc. Multi-database, multi-platform, portable, high performance.
Gollum is an n:m multiplexer that gathers messages from different sources and broadcasts them to a set of destinations.Gollum originally started as a tool to MUL-tiplex LOG-files (read it backwards to get the name). It quickly evolved to a one-way router for all kinds of messages, not limited to just logs. Gollum is written in Go to make it scalable and easy to extend without the need to use a scripting language.
A command line utility, a bit like moreutils's ts, to prepend timestamp information to the standard output of another command. Useful for long-running processes where you'd like a historical record of what's taking so long.Piping anything to gnomon will prepend a timestamp to each line, indicating how long that line was the last line in the buffer--that is, how long it took the next line to appear. By default, gnomon will display the seconds elapsed between each line, but that is configurable.
It allows you to re-write a line of your log after being written. Just like post 'updating'. This is the building block for any dynamic element such as progress bars, loading status, animations, checkboxes and so on.It does that by keeping track of the current lines of code written through the stream, and moving the cursor up to the line of the LogDraft you created previously, and updating its content.
Onelog is a dead simple but very efficient JSON logger. It is one of the fastest JSON logger out there. Also, it is one of the logger with the lowest allocation. It gives more control over log levels enabled by using bitwise operation for setting levels on a logger.
LogRocket is a production Redux logging tool that lets you replay problems as if they happened in your own browser. Instead of guessing why errors happen, or asking users for screenshots and log dumps, LogRocket lets you replay Redux actions + state, network requests, console logs, and see a video of what the user saw. Note: logger must be the last middleware in chain, otherwise it will log thunk and promise, not actual actions (#20).
log XI is a structured 12-factor app logger built for speed and happy development.A logger should be efficient and minimize performance tax. logxi encodes JSON 2X faster than logrus and log15 with primitive types. When diagnosing a problem in production, troubleshooting often means enabling small trace data in Debug and Info statements for some period of time.