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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Pixi vs StatsD

Pixi vs StatsD

OverviewComparisonAlternatives

Overview

StatsD
StatsD
Stacks373
Followers293
Votes31
Pixi
Pixi
Stacks100
Followers86
Votes8

Pixi vs StatsD: What are the differences?

Developers describe Pixi as "Create beautiful digital content with the fastest, most flexible 2D WebGL renderer". Super fast HTML 5 2D rendering engine that uses webGL with canvas fallback. On the other hand, StatsD is detailed as "Simple daemon for easy stats aggregation". StatsD is a front-end proxy for the Graphite/Carbon metrics server, originally written by Etsy's Erik Kastner. StatsD is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

Pixi and StatsD can be primarily classified as "Monitoring" tools.

Some of the features offered by Pixi are:

  • Multi-platform Support
  • Interactive, visually compelling content on desktop, mobile and beyond, all reached with a single codebase to deliver transferable experiences
  • Tinting & Blending Modes

On the other hand, StatsD provides the following key features:

  • buckets: Each stat is in its own "bucket". They are not predefined anywhere. Buckets can be named anything that will translate to Graphite (periods make folders, etc)
  • values: Each stat will have a value. How it is interpreted depends on modifiers. In general values should be integer.
  • flush: After the flush interval timeout (defined by config.flushInterval, default 10 seconds), stats are aggregated and sent to an upstream backend service.

Pixi and StatsD are both open source tools. It seems that Pixi with 26.1K GitHub stars and 3.73K forks on GitHub has more adoption than StatsD with 14.2K GitHub stars and 1.84K GitHub forks.

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Detailed Comparison

StatsD
StatsD
Pixi
Pixi

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

Super fast HTML 5 2D rendering engine that uses webGL with canvas fallback

Network daemon; Runs on the Node.js platform; Sends aggregates to one or more pluggable backend services
Multi-platform Support;Interactive, visually compelling content on desktop, mobile and beyond, all reached with a single codebase to deliver transferable experiences;Tinting & Blending Modes;Sprite Sheet Support;Asset Loader;Easy API;WebGL Filters
Statistics
Stacks
373
Stacks
100
Followers
293
Followers
86
Votes
31
Votes
8
Pros & Cons
Pros
  • 9
    Open source
  • 7
    Single responsibility
  • 5
    Efficient wire format
  • 3
    Loads of integrations
  • 3
    Handles aggregation
Cons
  • 1
    No authentication; cannot be used over Internet
Pros
  • 8
    Fast Performance
Integrations
Node.js
Node.js
Docker
Docker
Graphite
Graphite
HTML5
HTML5
React
React
WebGL
WebGL

What are some alternatives to StatsD, Pixi?

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

Graphite

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

Jaeger

Jaeger

Jaeger, a Distributed Tracing System

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