statsd vs Statsd

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statsd		Statsd
	Project
1	Mentions	6
15,559	Stars	17,488
-	Growth	0.3%
3.6	Activity	5.1
over 3 years ago	Latest Commit	4 months ago
JavaScript	Language	JavaScript
MIT License	License	MIT License

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

statsd

Posts with mentions or reviews of statsd. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-01.

Scaling django: profiling your django app
3 projects | dev.to | 1 Feb 2021

This is an external stats collecting system built by Etsy, they blogged about it and how it works and it's also open source, you can set it up in django through a third party app called django-statsd.

Statsd

Posts with mentions or reviews of Statsd. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-04.

Building Cages - Creating better DX for deploying Dockerfiles to AWS Nitro Enclaves
2 projects | /r/devops | 4 Apr 2023

statsD for metrics
Elixir metrics and StatsD
3 projects | dev.to | 5 Jun 2022

StatsD is a network daemon that listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services.
How to track profile page views per day, weekly, monthly and amount of times file was downloaded per product per day / week / month? - Without adding 1000+ database entries?
2 projects | /r/django | 12 Mar 2022

If you are essentially tracking an incremental number, statsd was made specifically for this task. It's lightning fast and you can setup different metrics for each scenario you mentioned.
Help with getting started with Metrics, Logging and tracing
2 projects | /r/devops | 2 Jan 2022
Practical OCaml
5 projects | dev.to | 17 May 2021

It reads only 8 KB of data by default; this should be enough for StatsD metrics lines based on the StatsD documentation. Also, that's what Alan Ning's Rust implementation does.
Introduction to StatsD
3 projects | dev.to | 15 Feb 2021

StatsD GitHub repository Scaling StatsD in DoorDash Netdata StatsD reference documentation

What are some alternatives?

When comparing statsd and Statsd you can also consider the following projects:

metrics - 📊 An infographics generator with 30+ plugins and 300+ options to display stats about your GitHub account and render them as SVG, Markdown, PDF or JSON!

Collectd - The system statistics collection daemon. Please send Pull Requests here!

prom-client - Prometheus client for node.js

prometheus - The Prometheus monitoring system and time series database.

django-cprofile-middleware - Helpful django cprofiling middleware.

InfluxDB - Scalable datastore for metrics, events, and real-time analytics

fastify-metrics - 📊 Fastify plugin that integrates metrics collection and dispatch to statsd

Graphite - A highly scalable real-time graphing system

sematext-agent-express - Express.js Monitoring and Logging Agent by Sematext

tcollector - Data collection framework for OpenTSDB

Diamond - Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of collecting cpu, memory, network, i/o, load and disk metrics. Additionally, it features an API for implementing custom collectors for gathering metrics from almost any source.