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  1. Stackups
  2. DevOps
  3. Log Management
  4. Logging Tools
  5. Log4j vs Picologging

Log4j vs Picologging

OverviewComparisonAlternatives

Overview

Log4j
Log4j
Stacks3.1K
Followers101
Votes0
GitHub Stars3.5K
Forks1.7K
Picologging
Picologging
Stacks0
Followers1
Votes0
GitHub Stars761
Forks27

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Detailed Comparison

Log4j
Log4j
Picologging
Picologging

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.

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.

-
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
3.5K
GitHub Stars
761
GitHub Forks
1.7K
GitHub Forks
27
Stacks
3.1K
Stacks
0
Followers
101
Followers
1
Votes
0
Votes
0
Integrations
Spring Boot
Spring Boot
Java
Java
Apache Maven
Apache Maven
Python
Python

What are some alternatives to Log4j, 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.

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.

Bunyan

Bunyan

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.)

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.

SwiftyBeaver

SwiftyBeaver

It is Swift-based logging framework for iOS and macOS. It has different types of log messages where also we can filter logs to make bug checking even easier and has a free license plan.

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.

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