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  1. Stackups
  2. DevOps
  3. Log Management
  4. Logging Tools
  5. Bunyan vs Picologging

Bunyan vs Picologging

OverviewComparisonAlternatives

Overview

Bunyan
Bunyan
Stacks315
Followers15
Votes0
GitHub Stars7.2K
Forks517
Picologging
Picologging
Stacks0
Followers1
Votes0
GitHub Stars761
Forks27

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CLI (Node.js)
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Detailed Comparison

Bunyan
Bunyan
Picologging
Picologging

It is a simple and fast JSON logging module for node.js services. It has extensible streams system for controlling where log records go (to a stream, to a file, log file rotation, etc.)

It is a high-performance logging library for Python. picologging is 4-10x faster than the logging module in the standard library. It is designed to be used as a drop-in replacement for applications which already use logging, and supports the same API as the logging module.

Elegant log method API; Extensible streams system for controlling where log records go (to a stream, to a file, log file rotation, etc.); bunyan CLI for pretty-printing and filtering of Bunyan logs; simple include of log call source location (file, line, function) with src: true; lightweight specialization of Logger instances with log.child; Custom rendering of logged objects with "serializers"; Runtime log snooping via DTrace support; Support for a few runtime environments: Node.js, Browserify, Webpack, NW.js
Logging library for Python; High-performance; 4-10x faster than the logging module in the standard library; Drop-in replacement for applications which already use logging
Statistics
GitHub Stars
7.2K
GitHub Stars
761
GitHub Forks
517
GitHub Forks
27
Stacks
315
Stacks
0
Followers
15
Followers
1
Votes
0
Votes
0
Integrations
Node.js
Node.js
Restify
Restify
Webpack
Webpack
Browserify
Browserify
Python
Python

What are some alternatives to Bunyan, Picologging?

Seq

Seq

Seq is a self-hosted server for structured log search, analysis, and alerting. It can be hosted on Windows or Linux/Docker, and has integrations for most popular structured logging libraries.

Loki

Loki

Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost effective and easy to operate, as it does not index the contents of the logs, but rather a set of labels for each log stream.

Log4j

Log4j

It is an open source logging framework. With this tool – logging behavior can be controlled by editing a configuration file only without touching the application binary and can be used to store the Selenium Automation flow logs.

Castle Core

Castle Core

It provides common Castle Project abstractions including logging services. It also features Castle DynamicProxy a lightweight runtime proxy generator, and Castle DictionaryAdapter.

Fluent Bit

Fluent Bit

It is a super fast, lightweight, and highly scalable logging and metrics processor and forwarder. It is the preferred choice for cloud and containerized environments.

CocoaLumberjack

CocoaLumberjack

CocoaLumberjack is a fast & simple, yet powerful & flexible logging framework for Mac and iOS.

uno

uno

We built uno, a small tool similar to uniq (the UNIX CLI tool that removes duplicates) - but with fuzziness. uno considers two lines to be equal if their edit distance is less than a specified threshold, by default set to 30%. It reads from stdin and prints the deduplicated lines to stdout.

Zap

Zap

Zap takes a different approach. It includes a reflection-free, zero-allocation JSON encoder, and the base Logger strives to avoid serialization overhead and allocations wherever possible. By building the high-level SugaredLogger on that foundation, zap lets users choose when they need to count every allocation and when they'd prefer a more familiar, loosely typed API.

NanoLog

NanoLog

It is an extremely performant nanosecond scale logging system for C++ that exposes a simple printf-like API and achieves over 80 million logs/second at a median latency of just over 7 nanoseconds.

LogDevice

LogDevice

LogDevice is a scalable and fault tolerant distributed log system. While a file-system stores and serves data organized as files, a log system stores and delivers data organized as logs. The log can be viewed as a record-oriented, append-only, and trimmable file.

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