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  5. Pixi vs three.js

Pixi vs three.js

OverviewComparisonAlternatives

Overview

Pixi
Pixi
Stacks100
Followers86
Votes8
three.js
three.js
Stacks825
Followers530
Votes0
GitHub Stars109.2K
Forks36.1K

Pixi vs three.js: What are the differences?

Introduction

Pixi and three.js are both JavaScript libraries used for creating interactive and visually appealing graphics on the web. While they share similarities in terms of functionality, there are some key differences between the two.

  1. Rendering Approach: Pixi focuses on rendering 2D graphics and is optimized for high-performance rendering of large numbers of sprites, making it ideal for creating 2D games and applications. On the other hand, three.js is primarily designed for rendering 3D graphics and offers a wide range of features and tools specifically tailored for working with 3D objects.

  2. API Design: Pixi provides a simple and intuitive API that is easy to learn and use, making it a good choice for beginners. It has a straightforward display object model that allows for easy manipulation and animation of sprites. In contrast, three.js has a more complex API due to its extensive feature set for working with 3D objects and scenes. It requires a deeper understanding of 3D concepts and may have a steeper learning curve for newcomers.

  3. Performance: Pixi is renowned for its excellent performance and high frame rates even on low-end devices. It achieves this by utilizing WebGL, an efficient rendering technology that leverages the power of the GPU. Three.js also uses WebGL for rendering 3D graphics but may not be as optimized for high-performance 2D rendering as Pixi.

  4. Community and Documentation: Both Pixi and three.js have active communities and are well-documented. However, three.js has been around for a longer time and consequently has a larger community and more extensive documentation. It also has a vast number of examples, tutorials, and resources available, making it easier to find solutions to common problems.

  5. Dependencies: Pixi is a standalone library and does not have any external dependencies. This means that it can be used standalone with minimal setup. On the other hand, three.js has several external dependencies such as WebGL, which needs to be supported by the device's browser. It also requires a basic understanding of linear algebra concepts for working with 3D transformations.

  6. Suitability for Projects: Pixi is well-suited for 2D projects, especially games and applications that require high-performance rendering of large numbers of sprites. Its simplicity and performance make it an excellent choice for creating 2D graphics-rich experiences. Three.js, on the other hand, is better suited for projects that involve 3D graphics, such as architectural visualization, product showcases, or virtual reality experiences.

In summary, Pixi is optimized for high-performance 2D rendering, has a simple API, and is suitable for 2D games and applications, while three.js is focused on 3D rendering, has a more extensive feature set and learning curve, and is ideal for creating 3D graphics on the web.

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Detailed Comparison

Pixi
Pixi
three.js
three.js

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

It is a cross-browser JavaScript library and Application Programming Interface used to create and display animated 3D computer graphics in a web browser.

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
GitHub Stars
-
GitHub Stars
109.2K
GitHub Forks
-
GitHub Forks
36.1K
Stacks
100
Stacks
825
Followers
86
Followers
530
Votes
8
Votes
0
Pros & Cons
Pros
  • 8
    Fast Performance
No community feedback yet
Integrations
HTML5
HTML5
React
React
WebGL
WebGL
No integrations available

What are some alternatives to Pixi, three.js?

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

Unity

Unity

Unity is the ultimate game development platform. Use Unity to build high-quality 3D and 2D games, deploy them across mobile, desktop, VR/AR, consoles or the Web, and connect with loyal and enthusiastic players and customers.

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.

Godot

Godot

It is an advanced, feature-packed, multi-platform 2D and 3D open source game engine. It is developed by hundreds of contributors from all around the world.

Graphite

Graphite

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

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