What is Kobiton and what are its top alternatives?
Top Alternatives to Kobiton
- Sauce Labs
Cloud-based automated testing platform enables developers and QEs to perform functional, JavaScript unit, and manual tests with Selenium or Appium on web and mobile apps. Videos and screenshots for easy debugging. Secure and CI-ready. ...
- BrowserStack
BrowserStack is the leading test platform built for developers & QAs to expand test coverage, scale & optimize testing with cross-browser, real device cloud, accessibility, visual testing, test management, and test observability. ...
- BitBar
Testdroid provides a set of products for Android and iOS app/game testing on real devices. With different testing solutions, you can efficiently develop and test your mobile apps/games in agile way and achieve your business goals. ...
- AWS Device Farm
Run tests across a large selection of physical devices in parallel from various manufacturers with varying hardware, OS versions and form factors. ...
- Appium
Appium is an open source test automation framework for use with native, hybrid, and mobile web apps. It drives iOS and Android apps using the WebDriver protocol. Appium is sponsored by Sauce Labs and a thriving community of open source developers. ...
- Experitest
It allows users to create and run Appium, Selenium, XCUITest & Espresso tests against real devices and web browsers. Users can create & execute hundreds of manual or automated tests in parallel on IOS & Android devices. Users can automate their cross-browser testing, perform visual testing and access advanced analytics. ...
- Git
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency. ...
- GitHub
GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together. ...
Kobiton alternatives & related posts
Sauce Labs
- Selenium-compatible60
- Webdriver compatible46
- Video recordings of every test35
- Qa31
- Mobile support29
- Any programming language26
- Developer tools23
- Test local and firewalled servers21
- Jenkins integration20
- Pristine VMs18
- CI Compatible17
- Appium support11
- Parallel testing9
- Rapid environment preparation8
- Mobile device support8
- Easy testing on almost any device7
- Allows me to Focus more test automation rather than IT7
- Secure testing and easy setup6
- Easy setup with CI and fast automated tests5
- Quick support response5
- Fast and reliable to host the automated tests4
- Easy to setup and understand,4
- Easy setup and integration with Travis Ci3
- Maintained browser matrix3
- Easy onboarding, do not need to manager VMs/OS/Browsers3
- Efficient tool to verify product quality2
- Teamcity Integration and mobile testing win2
- Hany for platform testing2
- Great documentation2
- Generous free trial2
- Easy. Straightforward. Scalable2
- Great way to integrate test suite on cloud2
- Simplicity of Sauce-connect2
- Very Good, Quick, flexible Infrastructure Support1
- It's great for my QA work1
- Awesome tech support1
- Having this available for CI servers is fantastic1
- Amazing service to do cloud cross browser testing1
- Depth of integrations1
- Because of its cloud based support for appium1
- Easy setup, Works great with selenium.1
- QE support1
- Manuals are not very well versed for beginners1
- Secure testing1
- Cheaper than browserstack1
- Stable1
- Simple to set up and integrate so many browser configs0
- Relatively slow2
- Expensive2
related Sauce Labs posts
I am looking to purchase one of these tools for Mobile testing for my team. It should support Native, hybrid, and responsive app testing. It should also feature debugging, parallel execution, automation testing/easy integration with automation testing tools like Selenium, and the capability to provide availability of devices specifically for us to use at any time with good speed of performing all these activities.
I have already used Perfecto mobile, and Sauce Labs in my other projects before. I want to know how different or better is AWS Device farm in usage and how advantageous it would be for us to use it over other mentioned tools
I am working on #OpenSource file uploader. The uploader is the widget that other developers embed in their apps. It should work well in different browsers and on different devices. BrowserStack and Sauce Labs help to achieve that. I can test the uploader in many varieties of browsers+OS only used my browser without virtual machines.
BrowserStack
- Multiple browsers135
- Ease of use76
- Real browsers65
- Ability to use it locally44
- Good price27
- Great web interface21
- IE support19
- Official mobile emulators17
- Cloud-based access15
- Instant access15
- Real mobile devices12
- Multiple Desktop OS8
- Selenium compatible8
- Screenshots8
- Can be used for Testing and E2E7
- Pre-installed developer tools6
- Video of test runs5
- Supports Manual, Functional and Visual Diff Testing4
- Favourites4
- Webdriver compatible4
- Many browsers4
- Test Management3
- Test automation dashboard3
- Cypress Compatible3
- Bi-directional Jira Sync3
- Free for Open Source3
- Unify and track test cases3
- Cross-browser testing3
- Speed is fast2
- Real devices2
- Private devices1
- Test WCAG Compliance1
- Web accessibility1
- Visual testing and review1
- Very limited choice of minor versions2
related BrowserStack posts
This is my stack in Application & Data
JavaScript PHP HTML5 jQuery Redis Amazon EC2 Ubuntu Sass Vue.js Firebase Laravel Lumen Amazon RDS GraphQL MariaDB
My Utilities Tools
Google Analytics Postman Elasticsearch
My Devops Tools
Git GitHub GitLab npm Visual Studio Code Kibana Sentry BrowserStack
My Business Tools
Slack
I am working on #OpenSource file uploader. The uploader is the widget that other developers embed in their apps. It should work well in different browsers and on different devices. BrowserStack and Sauce Labs help to achieve that. I can test the uploader in many varieties of browsers+OS only used my browser without virtual machines.
- Best support9
- The most robust service8
- Best deployment options (private, public, in-house)7
- Best coverage of devices globally6
- Support for all major test automation frameworks4
- Fantastic API for Apps, Games and Web3
- Perfect setup for game testing3
- Image Recognition features3
- Test Automation Onboarding & Training2
- Great examples of Java, C#, Python & Ruby test scripts1
related BitBar posts
- 1000 free minutes3
- Pay as you go pricing2
- Records all sessions, blocks on processing when done1
- You need to remember to turn airplane mode off1
related AWS Device Farm posts
- Webdriverio support12
- Java, C#, Python support6
- Open source3
- Great GUI with inspector2
- Active community2
- Support android test automation1
- Internal API access1
- Support iOS test automation1
related Appium posts
Looking for some advice: we are planning to create a hybrid app for both iOS and Android; this app will consume a REST API. We are looking for a tool for this development with the following attributes:
Shallow learning curve; easiness to adopt (all team is new into mobile development, with diverse backgrounds: Java, Python & AngularJS),
Easiness to test (we discarded Angular-based tools already: creating a unit test in Angular we considered time-consuming and low value. At this point of the project, we cannot afford UI testing with Selenium/Appium based tools).
So far, we are not considering any specific capability of the device. Still, in the mid/long term, we would require the usage of GPS (geolocalization) and accelerometer (not sure if it's possible to use it from a hybrid app). Suggest any other tool if you wish.
I chose WebdriverIO and Appium to implement a E2E tests solution on a native mobile app. WebdriverIO goes well beyond just implementing the Selenium / Appium protocol and allows to run tests in parallel out of the box. Appium has the big advantage of supporting iOS and Android platforms, so the test codebase and tools are exactly the same, which greatly reduces the learning curve and implementation time.
related Experitest posts
- Distributed version control system1.4K
- Efficient branching and merging1.1K
- Fast959
- Open source845
- Better than svn726
- Great command-line application368
- Simple306
- Free291
- Easy to use232
- Does not require server222
- Distributed28
- Small & Fast23
- Feature based workflow18
- Staging Area15
- Most wide-spread VSC13
- Disposable Experimentation11
- Role-based codelines11
- Frictionless Context Switching7
- Data Assurance6
- Efficient5
- Just awesome4
- Easy branching and merging3
- Github integration3
- Compatible2
- Possible to lose history and commits2
- Flexible2
- Team Integration1
- Easy1
- Light1
- Fast, scalable, distributed revision control system1
- Rebase supported natively; reflog; access to plumbing1
- Flexible, easy, Safe, and fast1
- CLI is great, but the GUI tools are awesome1
- It's what you do1
- Phinx0
- Hard to learn16
- Inconsistent command line interface11
- Easy to lose uncommitted work9
- Worst documentation ever possibly made8
- Awful merge handling5
- Unexistent preventive security flows3
- Rebase hell3
- Ironically even die-hard supporters screw up badly2
- When --force is disabled, cannot rebase2
- Doesn't scale for big data1
related Git posts
Our whole DevOps stack consists of the following tools:
- GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
- Respectively Git as revision control system
- SourceTree as Git GUI
- Visual Studio Code as IDE
- CircleCI for continuous integration (automatize development process)
- Prettier / TSLint / ESLint as code linter
- SonarQube as quality gate
- Docker as container management (incl. Docker Compose for multi-container application management)
- VirtualBox for operating system simulation tests
- Kubernetes as cluster management for docker containers
- Heroku for deploying in test environments
- nginx as web server (preferably used as facade server in production environment)
- SSLMate (using OpenSSL) for certificate management
- Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
- PostgreSQL as preferred database system
- Redis as preferred in-memory database/store (great for caching)
The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:
- Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
- Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
- Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
- Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
- Scalability: All-in-one framework for distributed systems.
- Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
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.
GitHub
- Open source friendly1.8K
- Easy source control1.5K
- Nice UI1.3K
- Great for team collaboration1.1K
- Easy setup868
- Issue tracker504
- Great community488
- Remote team collaboration483
- Great way to share449
- Pull request and features planning442
- Just works147
- Integrated in many tools132
- Free Public Repos122
- Github Gists116
- Github pages114
- Easy to find repos83
- Open source62
- Easy to find projects60
- It's free60
- Network effect56
- Extensive API49
- Organizations43
- Branching42
- Developer Profiles34
- Git Powered Wikis32
- Great for collaboration30
- It's fun24
- Clean interface and good integrations23
- Community SDK involvement22
- Learn from others source code20
- Because: Git16
- It integrates directly with Azure14
- Standard in Open Source collab10
- Newsfeed10
- Fast8
- Beautiful user experience8
- It integrates directly with Hipchat8
- Easy to discover new code libraries7
- It's awesome6
- Smooth integration6
- Cloud SCM6
- Nice API6
- Graphs6
- Integrations6
- Hands down best online Git service available5
- Reliable5
- Quick Onboarding5
- CI Integration5
- Remarkable uptime5
- Security options4
- Loved by developers4
- Uses GIT4
- Free HTML hosting4
- Easy to use and collaborate with others4
- Version Control4
- Simple but powerful4
- Unlimited Public Repos at no cost4
- Nice to use3
- IAM3
- Ci3
- Easy deployment via SSH3
- Free private repos2
- Good tools support2
- All in one development service2
- Never dethroned2
- Easy source control and everything is backed up2
- Issues tracker2
- Self Hosted2
- IAM integration2
- Very Easy to Use2
- Easy to use2
- Leads the copycats2
- Free HTML hostings2
- Easy and efficient maintainance of the projects2
- Beautiful2
- Dasf1
- Profound1
- Owned by micrcosoft56
- Expensive for lone developers that want private repos38
- Relatively slow product/feature release cadence15
- API scoping could be better10
- Only 3 collaborators for private repos9
- Limited featureset for issue management4
- Does not have a graph for showing history like git lens3
- GitHub Packages does not support SNAPSHOT versions2
- Expensive1
- No multilingual interface1
- Horrible review comments tracking (absence)1
- Takes a long time to commit1
related GitHub posts
I was building a personal project that I needed to store items in a real time database. I am more comfortable with my Frontend skills than my backend so I didn't want to spend time building out anything in Ruby or Go.
I stumbled on Firebase by #Google, and it was really all I needed. It had realtime data, an area for storing file uploads and best of all for the amount of data I needed it was free!
I built out my application using tools I was familiar with, React for the framework, Redux.js to manage my state across components, and styled-components for the styling.
Now as this was a project I was just working on in my free time for fun I didn't really want to pay for hosting. I did some research and I found Netlify. I had actually seen them at #ReactRally the year before and deployed a Gatsby site to Netlify already.
Netlify was very easy to setup and link to my GitHub account you select a repo and pretty much with very little configuration you have a live site that will deploy every time you push to master.
With the selection of these tools I was able to build out my application, connect it to a realtime database, and deploy to a live environment all with $0 spent.
If you're looking to build out a small app I suggest giving these tools a go as you can get your idea out into the real world for absolutely no cost.





Context: I wanted to create an end to end IoT data pipeline simulation in Google Cloud IoT Core and other GCP services. I never touched Terraform meaningfully until working on this project, and it's one of the best explorations in my development career. The documentation and syntax is incredibly human-readable and friendly. I'm used to building infrastructure through the google apis via Python , but I'm so glad past Sung did not make that decision. I was tempted to use Google Cloud Deployment Manager, but the templates were a bit convoluted by first impression. I'm glad past Sung did not make this decision either.
Solution: Leveraging Google Cloud Build Google Cloud Run Google Cloud Bigtable Google BigQuery Google Cloud Storage Google Compute Engine along with some other fun tools, I can deploy over 40 GCP resources using Terraform!
Check Out My Architecture: CLICK ME
Check out the GitHub repo attached