Alternatives to OpenGL logo

Alternatives to OpenGL

WebGL, OpenCL, CUDA, Postman, and Postman are the most popular alternatives and competitors to OpenGL.
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What is OpenGL and what are its top alternatives?

It is a cross-language, cross-platform application programming interface for rendering 2D and 3D vector graphics. The API is typically used to interact with a graphics processing unit, to achieve hardware-accelerated rendering.
OpenGL is a tool in the Graphics Libraries category of a tech stack.

Top Alternatives to OpenGL

  • WebGL
    WebGL

    It is integrated completely into all the web standards of the browser allowing GPU accelerated usage of physics and image processing and effects as part of the web page canvas. Its elements can be mixed with other HTML elements. ...

  • OpenCL
    OpenCL

    It is the open, royalty-free standard for cross-platform, parallel programming of diverse processors found in personal computers, servers, mobile devices and embedded platforms. It greatly improves the speed and responsiveness of a wide spectrum of applications in numerous market categories including gaming and entertainment titles, scientific and medical software, professional creative tools, vision processing, and neural network training and inferencing. ...

  • CUDA
    CUDA

    A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation. ...

  • Postman
    Postman

    It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide. ...

  • Postman
    Postman

    It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide. ...

  • Stack Overflow
    Stack Overflow

    Stack Overflow is a question and answer site for professional and enthusiast programmers. It's built and run by you as part of the Stack Exchange network of Q&A sites. With your help, we're working together to build a library of detailed answers to every question about programming. ...

  • Google Maps
    Google Maps

    Create rich applications and stunning visualisations of your data, leveraging the comprehensiveness, accuracy, and usability of Google Maps and a modern web platform that scales as you grow. ...

  • Elasticsearch
    Elasticsearch

    Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack). ...

OpenGL alternatives & related posts

WebGL logo

WebGL

181
0
A JavaScript API for rendering 3D graphics within any compatible web browser
181
0
PROS OF WEBGL
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    CONS OF WEBGL
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      related WebGL posts

      Shared insights
      on
      WebGLWebGLthree.jsthree.js

      I want a advice on what to use as a beginner three.js or WebGL?

      See more
      OpenCL logo

      OpenCL

      51
      0
      The open standard for parallel programming of heterogeneous systems
      51
      0
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          CUDA logo

          CUDA

          523
          0
          It provides everything you need to develop GPU-accelerated applications
          523
          0
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              related CUDA posts

              Postman logo

              Postman

              94.5K
              1.8K
              Only complete API development environment
              94.5K
              1.8K
              PROS OF POSTMAN
              • 490
                Easy to use
              • 369
                Great tool
              • 276
                Makes developing rest api's easy peasy
              • 156
                Easy setup, looks good
              • 144
                The best api workflow out there
              • 53
                It's the best
              • 53
                History feature
              • 44
                Adds real value to my workflow
              • 43
                Great interface that magically predicts your needs
              • 35
                The best in class app
              • 12
                Can save and share script
              • 10
                Fully featured without looking cluttered
              • 8
                Collections
              • 8
                Option to run scrips
              • 8
                Global/Environment Variables
              • 7
                Shareable Collections
              • 7
                Dead simple and useful. Excellent
              • 7
                Dark theme easy on the eyes
              • 6
                Awesome customer support
              • 6
                Great integration with newman
              • 5
                Documentation
              • 5
                Simple
              • 5
                The test script is useful
              • 4
                Saves responses
              • 4
                This has simplified my testing significantly
              • 4
                Makes testing API's as easy as 1,2,3
              • 4
                Easy as pie
              • 3
                API-network
              • 3
                I'd recommend it to everyone who works with apis
              • 3
                Mocking API calls with predefined response
              • 2
                Now supports GraphQL
              • 2
                Postman Runner CI Integration
              • 2
                Easy to setup, test and provides test storage
              • 2
                Continuous integration using newman
              • 2
                Pre-request Script and Test attributes are invaluable
              • 2
                Runner
              • 2
                Graph
              • 1
                <a href="http://fixbit.com/">useful tool</a>
              CONS OF POSTMAN
              • 10
                Stores credentials in HTTP
              • 9
                Bloated features and UI
              • 8
                Cumbersome to switch authentication tokens
              • 7
                Poor GraphQL support
              • 5
                Expensive
              • 3
                Not free after 5 users
              • 3
                Can't prompt for per-request variables
              • 1
                Import swagger
              • 1
                Support websocket
              • 1
                Import curl

              related Postman posts

              Noah Zoschke
              Engineering Manager at Segment · | 30 upvotes · 3M views

              We just launched the Segment Config API (try it out for yourself here) — a set of public REST APIs that enable you to manage your Segment configuration. A public API is only as good as its #documentation. For the API reference doc we are using Postman.

              Postman is an “API development environment”. You download the desktop app, and build API requests by URL and payload. Over time you can build up a set of requests and organize them into a “Postman Collection”. You can generalize a collection with “collection variables”. This allows you to parameterize things like username, password and workspace_name so a user can fill their own values in before making an API call. This makes it possible to use Postman for one-off API tasks instead of writing code.

              Then you can add Markdown content to the entire collection, a folder of related methods, and/or every API method to explain how the APIs work. You can publish a collection and easily share it with a URL.

              This turns Postman from a personal #API utility to full-blown public interactive API documentation. The result is a great looking web page with all the API calls, docs and sample requests and responses in one place. Check out the results here.

              Postman’s powers don’t end here. You can automate Postman with “test scripts” and have it periodically run a collection scripts as “monitors”. We now have #QA around all the APIs in public docs to make sure they are always correct

              Along the way we tried other techniques for documenting APIs like ReadMe.io or Swagger UI. These required a lot of effort to customize.

              Writing and maintaining a Postman collection takes some work, but the resulting documentation site, interactivity and API testing tools are well worth it.

              See more
              Simon Reymann
              Senior Fullstack Developer at QUANTUSflow Software GmbH · | 27 upvotes · 5.1M views

              Our whole Node.js backend stack consists of the following tools:

              • Lerna as a tool for multi package and multi repository management
              • npm as package manager
              • NestJS as Node.js framework
              • TypeScript as programming language
              • ExpressJS as web server
              • Swagger UI for visualizing and interacting with the API’s resources
              • Postman as a tool for API development
              • TypeORM as object relational mapping layer
              • JSON Web Token for access token management

              The main reason we have chosen Node.js over PHP is related to the following artifacts:

              • Made for the web and widely in use: Node.js is a software platform for developing server-side network services. Well-known projects that rely on Node.js include the blogging software Ghost, the project management tool Trello and the operating system WebOS. Node.js requires the JavaScript runtime environment V8, which was specially developed by Google for the popular Chrome browser. This guarantees a very resource-saving architecture, which qualifies Node.js especially for the operation of a web server. Ryan Dahl, the developer of Node.js, released the first stable version on May 27, 2009. He developed Node.js out of dissatisfaction with the possibilities that JavaScript offered at the time. The basic functionality of Node.js has been mapped with JavaScript since the first version, which can be expanded with a large number of different modules. The current package managers (npm or Yarn) for Node.js know more than 1,000,000 of these modules.
              • Fast server-side solutions: Node.js adopts the JavaScript "event-loop" to create non-blocking I/O applications that conveniently serve simultaneous events. With the standard available asynchronous processing within JavaScript/TypeScript, highly scalable, server-side solutions can be realized. The efficient use of the CPU and the RAM is maximized and more simultaneous requests can be processed than with conventional multi-thread servers.
              • A language along the entire stack: Widely used frameworks such as React or AngularJS or Vue.js, which we prefer, are written in JavaScript/TypeScript. If Node.js is now used on the server side, you can use all the advantages of a uniform script language throughout the entire application development. The same language in the back- and frontend simplifies the maintenance of the application and also the coordination within the development team.
              • Flexibility: Node.js sets very few strict dependencies, rules and guidelines and thus grants a high degree of flexibility in application development. There are no strict conventions so that the appropriate architecture, design structures, modules and features can be freely selected for the development.
              See more
              Postman logo

              Postman

              94.5K
              1.8K
              Only complete API development environment
              94.5K
              1.8K
              PROS OF POSTMAN
              • 490
                Easy to use
              • 369
                Great tool
              • 276
                Makes developing rest api's easy peasy
              • 156
                Easy setup, looks good
              • 144
                The best api workflow out there
              • 53
                It's the best
              • 53
                History feature
              • 44
                Adds real value to my workflow
              • 43
                Great interface that magically predicts your needs
              • 35
                The best in class app
              • 12
                Can save and share script
              • 10
                Fully featured without looking cluttered
              • 8
                Collections
              • 8
                Option to run scrips
              • 8
                Global/Environment Variables
              • 7
                Shareable Collections
              • 7
                Dead simple and useful. Excellent
              • 7
                Dark theme easy on the eyes
              • 6
                Awesome customer support
              • 6
                Great integration with newman
              • 5
                Documentation
              • 5
                Simple
              • 5
                The test script is useful
              • 4
                Saves responses
              • 4
                This has simplified my testing significantly
              • 4
                Makes testing API's as easy as 1,2,3
              • 4
                Easy as pie
              • 3
                API-network
              • 3
                I'd recommend it to everyone who works with apis
              • 3
                Mocking API calls with predefined response
              • 2
                Now supports GraphQL
              • 2
                Postman Runner CI Integration
              • 2
                Easy to setup, test and provides test storage
              • 2
                Continuous integration using newman
              • 2
                Pre-request Script and Test attributes are invaluable
              • 2
                Runner
              • 2
                Graph
              • 1
                <a href="http://fixbit.com/">useful tool</a>
              CONS OF POSTMAN
              • 10
                Stores credentials in HTTP
              • 9
                Bloated features and UI
              • 8
                Cumbersome to switch authentication tokens
              • 7
                Poor GraphQL support
              • 5
                Expensive
              • 3
                Not free after 5 users
              • 3
                Can't prompt for per-request variables
              • 1
                Import swagger
              • 1
                Support websocket
              • 1
                Import curl

              related Postman posts

              Noah Zoschke
              Engineering Manager at Segment · | 30 upvotes · 3M views

              We just launched the Segment Config API (try it out for yourself here) — a set of public REST APIs that enable you to manage your Segment configuration. A public API is only as good as its #documentation. For the API reference doc we are using Postman.

              Postman is an “API development environment”. You download the desktop app, and build API requests by URL and payload. Over time you can build up a set of requests and organize them into a “Postman Collection”. You can generalize a collection with “collection variables”. This allows you to parameterize things like username, password and workspace_name so a user can fill their own values in before making an API call. This makes it possible to use Postman for one-off API tasks instead of writing code.

              Then you can add Markdown content to the entire collection, a folder of related methods, and/or every API method to explain how the APIs work. You can publish a collection and easily share it with a URL.

              This turns Postman from a personal #API utility to full-blown public interactive API documentation. The result is a great looking web page with all the API calls, docs and sample requests and responses in one place. Check out the results here.

              Postman’s powers don’t end here. You can automate Postman with “test scripts” and have it periodically run a collection scripts as “monitors”. We now have #QA around all the APIs in public docs to make sure they are always correct

              Along the way we tried other techniques for documenting APIs like ReadMe.io or Swagger UI. These required a lot of effort to customize.

              Writing and maintaining a Postman collection takes some work, but the resulting documentation site, interactivity and API testing tools are well worth it.

              See more
              Simon Reymann
              Senior Fullstack Developer at QUANTUSflow Software GmbH · | 27 upvotes · 5.1M views

              Our whole Node.js backend stack consists of the following tools:

              • Lerna as a tool for multi package and multi repository management
              • npm as package manager
              • NestJS as Node.js framework
              • TypeScript as programming language
              • ExpressJS as web server
              • Swagger UI for visualizing and interacting with the API’s resources
              • Postman as a tool for API development
              • TypeORM as object relational mapping layer
              • JSON Web Token for access token management

              The main reason we have chosen Node.js over PHP is related to the following artifacts:

              • Made for the web and widely in use: Node.js is a software platform for developing server-side network services. Well-known projects that rely on Node.js include the blogging software Ghost, the project management tool Trello and the operating system WebOS. Node.js requires the JavaScript runtime environment V8, which was specially developed by Google for the popular Chrome browser. This guarantees a very resource-saving architecture, which qualifies Node.js especially for the operation of a web server. Ryan Dahl, the developer of Node.js, released the first stable version on May 27, 2009. He developed Node.js out of dissatisfaction with the possibilities that JavaScript offered at the time. The basic functionality of Node.js has been mapped with JavaScript since the first version, which can be expanded with a large number of different modules. The current package managers (npm or Yarn) for Node.js know more than 1,000,000 of these modules.
              • Fast server-side solutions: Node.js adopts the JavaScript "event-loop" to create non-blocking I/O applications that conveniently serve simultaneous events. With the standard available asynchronous processing within JavaScript/TypeScript, highly scalable, server-side solutions can be realized. The efficient use of the CPU and the RAM is maximized and more simultaneous requests can be processed than with conventional multi-thread servers.
              • A language along the entire stack: Widely used frameworks such as React or AngularJS or Vue.js, which we prefer, are written in JavaScript/TypeScript. If Node.js is now used on the server side, you can use all the advantages of a uniform script language throughout the entire application development. The same language in the back- and frontend simplifies the maintenance of the application and also the coordination within the development team.
              • Flexibility: Node.js sets very few strict dependencies, rules and guidelines and thus grants a high degree of flexibility in application development. There are no strict conventions so that the appropriate architecture, design structures, modules and features can be freely selected for the development.
              See more
              Stack Overflow logo

              Stack Overflow

              69K
              893
              Question and answer site for professional and enthusiast programmers
              69K
              893
              PROS OF STACK OVERFLOW
              • 257
                Scary smart community
              • 206
                Knows all
              • 142
                Voting system
              • 134
                Good questions
              • 83
                Good SEO
              • 22
                Addictive
              • 14
                Tight focus
              • 10
                Share and gain knowledge
              • 7
                Useful
              • 3
                Fast loading
              • 2
                Gamification
              • 1
                Knows everyone
              • 1
                Experts share experience and answer questions
              • 1
                Stack overflow to developers As google to net surfers
              • 1
                Questions answered quickly
              • 1
                No annoying ads
              • 1
                No spam
              • 1
                Fast community response
              • 1
                Good moderators
              • 1
                Quick answers from users
              • 1
                Good answers
              • 1
                User reputation ranking
              • 1
                Efficient answers
              • 1
                Leading developer community
              CONS OF STACK OVERFLOW
              • 3
                Not welcoming to newbies
              • 3
                Unfair downvoting
              • 3
                Unfriendly moderators
              • 3
                No opinion based questions
              • 3
                Mean users
              • 2
                Limited to types of questions it can accept

              related Stack Overflow posts

              Tom Klein

              Google Analytics is a great tool to analyze your traffic. To debug our software and ask questions, we love to use Postman and Stack Overflow. Google Drive helps our team to share documents. We're able to build our great products through the APIs by Google Maps, CloudFlare, Stripe, PayPal, Twilio, Let's Encrypt, and TensorFlow.

              See more
              Google Maps logo

              Google Maps

              41.5K
              567
              Build highly customisable maps with your own content and imagery
              41.5K
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              PROS OF GOOGLE MAPS
              • 253
                Free
              • 136
                Address input through maps api
              • 82
                Sharable Directions
              • 47
                Google Earth
              • 46
                Unique
              • 3
                Custom maps designing
              CONS OF GOOGLE MAPS
              • 4
                Google Attributions and logo
              • 1
                Only map allowed alongside google place autocomplete

              related Google Maps posts

              Tom Klein

              Google Analytics is a great tool to analyze your traffic. To debug our software and ask questions, we love to use Postman and Stack Overflow. Google Drive helps our team to share documents. We're able to build our great products through the APIs by Google Maps, CloudFlare, Stripe, PayPal, Twilio, Let's Encrypt, and TensorFlow.

              See more

              A huge component of our product relies on gathering public data about locations of interest. Google Places API gives us that ability in the most efficient way. Since we are primarily going to be using as google data as a source of information for our MVP, we might as well start integrating the Google Places API in our system. We have worked with Google Maps in the past and we might take some inspiration from our previous projects onto this one.

              See more
              Elasticsearch logo

              Elasticsearch

              34.5K
              1.6K
              Open Source, Distributed, RESTful Search Engine
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              1.6K
              PROS OF ELASTICSEARCH
              • 328
                Powerful api
              • 315
                Great search engine
              • 231
                Open source
              • 214
                Restful
              • 200
                Near real-time search
              • 98
                Free
              • 85
                Search everything
              • 54
                Easy to get started
              • 45
                Analytics
              • 26
                Distributed
              • 6
                Fast search
              • 5
                More than a search engine
              • 4
                Great docs
              • 4
                Awesome, great tool
              • 3
                Highly Available
              • 3
                Easy to scale
              • 2
                Potato
              • 2
                Document Store
              • 2
                Great customer support
              • 2
                Intuitive API
              • 2
                Nosql DB
              • 2
                Great piece of software
              • 2
                Reliable
              • 2
                Fast
              • 2
                Easy setup
              • 1
                Open
              • 1
                Easy to get hot data
              • 1
                Github
              • 1
                Elaticsearch
              • 1
                Actively developing
              • 1
                Responsive maintainers on GitHub
              • 1
                Ecosystem
              • 1
                Not stable
              • 1
                Scalability
              • 0
                Community
              CONS OF ELASTICSEARCH
              • 7
                Resource hungry
              • 6
                Diffecult to get started
              • 5
                Expensive
              • 4
                Hard to keep stable at large scale

              related Elasticsearch posts

              Tim Abbott

              We've been using PostgreSQL since the very early days of Zulip, but we actually didn't use it from the beginning. Zulip started out as a MySQL project back in 2012, because we'd heard it was a good choice for a startup with a wide community. However, we found that even though we were using the Django ORM for most of our database access, we spent a lot of time fighting with MySQL. Issues ranged from bad collation defaults, to bad query plans which required a lot of manual query tweaks.

              We ended up getting so frustrated that we tried out PostgresQL, and the results were fantastic. We didn't have to do any real customization (just some tuning settings for how big a server we had), and all of our most important queries were faster out of the box. As a result, we were able to delete a bunch of custom queries escaping the ORM that we'd written to make the MySQL query planner happy (because postgres just did the right thing automatically).

              And then after that, we've just gotten a ton of value out of postgres. We use its excellent built-in full-text search, which has helped us avoid needing to bring in a tool like Elasticsearch, and we've really enjoyed features like its partial indexes, which saved us a lot of work adding unnecessary extra tables to get good performance for things like our "unread messages" and "starred messages" indexes.

              I can't recommend it highly enough.

              See more
              Tymoteusz Paul
              Devops guy at X20X Development LTD · | 23 upvotes · 9.8M views

              Often enough I have to explain my way of going about setting up a CI/CD pipeline with multiple deployment platforms. Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead ;). I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.md and wishes of good luck (as it usually is ;)).

              It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. Following that is the first hurdle to go over - convert all the instruction/scripts into Ansible playbook(s), and only stopping when doing a clear vagrant up or vagrant reload we will have a fully working environment. As our Vagrant environment is now functional, it's time to break it! This is the moment to look for how things can be done better (too rigid/too lose versioning? Sloppy environment setup?) and replace them with the right way to do stuff, one that won't bite us in the backside. This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product.

              I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting. This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers. That's why we start with Vagrant as developer boxes should be as easy as vagrant up, but the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.

              We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab Elasticsearch, Kibana, and Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically (within some limits) and horizontally. Logstash rules are easy to write and are well supported in maintenance through Ansible, which as I've mentioned earlier, are at the very core of things, and creating triggers/reports and alerts based on Elastic and Kibana is generally a breeze, including some quite complex aggregations.

              If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. Namely, we need something to manage our CI/CD pipelines. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkins, but it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins (like quality REST API which comes built-in with TeamCity). It also comes with all the common-handy plugins like Slack or Apache Maven integration.

              The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1. Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around. 2. All security credentials besides development environment must be sources from individual Vault instances. Keys to those containers should exist only on the CI/CD box and accessible by a few people (the less the better). This is pretty self-explanatory, as anything besides dev may contain sensitive data and, at times, be public-facing. Because of that appropriate security must be present. TeamCity shines in this department with excellent secrets-management. 3. Every part of the build chain shall consume and produce artifacts. If it creates nothing, it likely shouldn't be its own build. This way if any issue shows up with any environment or version, all developer has to do it is grab appropriate artifacts to reproduce the issue locally. 4. Deployment builds should be directly tied to specific Git branches/tags. This enables much easier tracking of what caused an issue, including automated identifying and tagging the author (nothing like automated regression testing!).

              Speaking of deployments, I generally try to keep it simple but also with a close eye on the wallet. Because of that, I am more than happy with AWS or another cloud provider, but also constantly peeking at the loads and do we get the value of what we are paying for. Often enough the pattern of use is not constantly erratic, but rather has a firm baseline which could be migrated away from the cloud and into bare metal boxes. That is another part where this approach strongly triumphs over the common Docker and CircleCI setup, where you are very much tied in to use cloud providers and getting out is expensive. Here to embrace bare-metal hosting all you need is a help of some container-based self-hosting software, my personal preference is with Proxmox and LXC. Following that all you must write are ansible scripts to manage hardware of Proxmox, similar way as you do for Amazon EC2 (ansible supports both greatly) and you are good to go. One does not exclude another, quite the opposite, as they can live in great synergy and cut your costs dramatically (the heavier your base load, the bigger the savings) while providing production-grade resiliency.

              See more