Statsd vs pystatsd

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Statsd		pystatsd
	Project
6	Mentions	1
17,502	Stars	536
0.4%	Growth	-
5.1	Activity	2.4
4 months ago	Latest Commit	6 months ago
JavaScript	Language	Python
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 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

pystatsd

Posts with mentions or reviews of pystatsd. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-15.

Introduction to StatsD
3 projects | dev.to | 15 Feb 2021

What are some alternatives?

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

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

community - Netdata-powered applications and examples. For the community, by the community.

prometheus - The Prometheus monitoring system and time series database.

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

Graphite - A highly scalable real-time graphing system

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.

Telegraf - Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.

RRDtool - RRDtool 1.x - Round Robin Database

Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

Ganglia - Ganglia Web Frontend

statsd-filter-proxy-rs - A filter proxy for StatsD