Alternatives to JaCoCo logo

Alternatives to JaCoCo

JUnit, ESLint, Prettier, SonarQube, and Code Climate are the most popular alternatives and competitors to JaCoCo.
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What is JaCoCo and what are its top alternatives?

It is a free code coverage library for Java, which has been created based on the lessons learned from using and integration existing libraries for many years.
JaCoCo is a tool in the Code Review category of a tech stack.
JaCoCo is an open source tool with 3K GitHub stars and 877 GitHub forks. Here’s a link to JaCoCo's open source repository on GitHub

Top Alternatives to JaCoCo

  • JUnit

    JUnit

    JUnit is a simple framework to write repeatable tests. It is an instance of the xUnit architecture for unit testing frameworks. ...

  • ESLint

    ESLint

    A pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript. Maintain your code quality with ease. ...

  • Prettier

    Prettier

    Prettier is an opinionated code formatter. It enforces a consistent style by parsing your code and re-printing it with its own rules that take the maximum line length into account, wrapping code when necessary. ...

  • SonarQube

    SonarQube

    SonarQube provides an overview of the overall health of your source code and even more importantly, it highlights issues found on new code. With a Quality Gate set on your project, you will simply fix the Leak and start mechanically improving. ...

  • Code Climate

    Code Climate

    After each Git push, Code Climate analyzes your code for complexity, duplication, and common smells to determine changes in quality and surface technical debt hotspots. ...

  • TSLint

    TSLint

    An extensible static analysis tool that checks TypeScript code for readability, maintainability, and functionality errors. It is widely supported across modern editors & build systems and can be customized with your own lint rules, configurations, and formatters. ...

  • RuboCop

    RuboCop

    RuboCop is a Ruby static code analyzer. Out of the box it will enforce many of the guidelines outlined in the community Ruby Style Guide. ...

  • Codacy

    Codacy

    Codacy automates code reviews to improve and standardize code quality across large enterprises. It identifies issues through static code analysis. Integrates with GitLab, GitHub & Bitbucket. ...

JaCoCo alternatives & related posts

JUnit logo

JUnit

1.4K
463
0
A programmer-oriented testing framework for Java
1.4K
463
+ 1
0
PROS OF JUNIT
    Be the first to leave a pro
    CONS OF JUNIT
      Be the first to leave a con

      related JUnit posts

      We are looking for a Testing Tool that can integrate with Java/ React/ Go/ Python/ Node.js. Which amongst the three tools JUnit, NUnit & Selenium would be the best for this use case?

      See more
      Joshua Dean Küpper
      CEO at Scrayos UG (haftungsbeschränkt) · | 1 upvote · 141.5K views

      We use JUnit for our Java Unit and Integration tests in Version 5. Combined with @JMockit2 and @truth (from Google) we perform all kinds of tests on our minecraft, standalone and microservice architecture.

      We prefer JUnit over TestNG because of the bigger community, better support and the generally more agile development. JUnit integrates nicely with most software, while TestNG support is a little more limited.

      See more
      ESLint logo

      ESLint

      13.3K
      8.6K
      23
      The fully pluggable JavaScript code quality tool
      13.3K
      8.6K
      + 1
      23
      PROS OF ESLINT
      • 7
        Consistent javascript - opinions don't matter anymore
      • 5
        IDE Integration
      • 4
        Free
      • 3
        Customizable
      • 2
        Focuses code review on quality not style
      • 2
        Broad ecosystem of support & users
      CONS OF ESLINT
        Be the first to leave a con

        related ESLint posts

        Simon Reymann
        Senior Fullstack Developer at QUANTUSflow Software GmbH · | 28 upvotes · 3.3M views

        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.
        See more
        Simon Reymann
        Senior Fullstack Developer at QUANTUSflow Software GmbH · | 20 upvotes · 805.6K views

        Our whole Vue.js frontend stack (incl. SSR) consists of the following tools:

        • Nuxt.js consisting of Vue CLI, Vue Router, vuex, Webpack and Sass (Bundler for HTML5, CSS 3), Babel (Transpiler for JavaScript),
        • Vue Styleguidist as our style guide and pool of developed Vue.js components
        • Vuetify as Material Component Framework (for fast app development)
        • TypeScript as programming language
        • Apollo / GraphQL (incl. GraphiQL) for data access layer (https://apollo.vuejs.org/)
        • ESLint, TSLint and Prettier for coding style and code analyzes
        • Jest as testing framework
        • Google Fonts and Font Awesome for typography and icon toolkit
        • NativeScript-Vue for mobile development

        The main reason we have chosen Vue.js over React and AngularJS is related to the following artifacts:

        • Empowered HTML. Vue.js has many similar approaches with Angular. This helps to optimize HTML blocks handling with the use of different components.
        • Detailed documentation. Vue.js has very good documentation which can fasten learning curve for developers.
        • Adaptability. It provides a rapid switching period from other frameworks. It has similarities with Angular and React in terms of design and architecture.
        • Awesome integration. Vue.js can be used for both building single-page applications and more difficult web interfaces of apps. Smaller interactive parts can be easily integrated into the existing infrastructure with no negative effect on the entire system.
        • Large scaling. Vue.js can help to develop pretty large reusable templates.
        • Tiny size. Vue.js weights around 20KB keeping its speed and flexibility. It allows reaching much better performance in comparison to other frameworks.
        See more
        Prettier logo

        Prettier

        1.4K
        445
        7
        Prettier is an opinionated code formatter.
        1.4K
        445
        + 1
        7
        PROS OF PRETTIER
        • 2
          Customizable
        • 1
          Atom/VSCode package
        • 1
          Follows the Ruby Style Guide by default
        • 1
          Runs offline
        • 1
          Completely free
        • 1
          Open Source
        CONS OF PRETTIER
          Be the first to leave a con

          related Prettier posts

          Simon Reymann
          Senior Fullstack Developer at QUANTUSflow Software GmbH · | 28 upvotes · 3.3M views

          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.
          See more
          Simon Reymann
          Senior Fullstack Developer at QUANTUSflow Software GmbH · | 20 upvotes · 805.6K views

          Our whole Vue.js frontend stack (incl. SSR) consists of the following tools:

          • Nuxt.js consisting of Vue CLI, Vue Router, vuex, Webpack and Sass (Bundler for HTML5, CSS 3), Babel (Transpiler for JavaScript),
          • Vue Styleguidist as our style guide and pool of developed Vue.js components
          • Vuetify as Material Component Framework (for fast app development)
          • TypeScript as programming language
          • Apollo / GraphQL (incl. GraphiQL) for data access layer (https://apollo.vuejs.org/)
          • ESLint, TSLint and Prettier for coding style and code analyzes
          • Jest as testing framework
          • Google Fonts and Font Awesome for typography and icon toolkit
          • NativeScript-Vue for mobile development

          The main reason we have chosen Vue.js over React and AngularJS is related to the following artifacts:

          • Empowered HTML. Vue.js has many similar approaches with Angular. This helps to optimize HTML blocks handling with the use of different components.
          • Detailed documentation. Vue.js has very good documentation which can fasten learning curve for developers.
          • Adaptability. It provides a rapid switching period from other frameworks. It has similarities with Angular and React in terms of design and architecture.
          • Awesome integration. Vue.js can be used for both building single-page applications and more difficult web interfaces of apps. Smaller interactive parts can be easily integrated into the existing infrastructure with no negative effect on the entire system.
          • Large scaling. Vue.js can help to develop pretty large reusable templates.
          • Tiny size. Vue.js weights around 20KB keeping its speed and flexibility. It allows reaching much better performance in comparison to other frameworks.
          See more
          SonarQube logo

          SonarQube

          1.2K
          1.4K
          39
          Continuous Code Quality
          1.2K
          1.4K
          + 1
          39
          PROS OF SONARQUBE
          • 20
            Tracks code complexity and smell trends
          • 12
            IDE Integration
          • 7
            Complete code Review
          CONS OF SONARQUBE
          • 5
            Sales process is long and unfriendly
          • 4
            Paid support is poor, techs arrogant and unhelpful

          related SonarQube posts

          Simon Reymann
          Senior Fullstack Developer at QUANTUSflow Software GmbH · | 28 upvotes · 3.3M views

          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.
          See more
          Ganesa Vijayakumar
          Full Stack Coder | Module Lead · | 19 upvotes · 2.5M views

          I'm planning to create a web application and also a mobile application to provide a very good shopping experience to the end customers. Shortly, my application will be aggregate the product details from difference sources and giving a clear picture to the user that when and where to buy that product with best in Quality and cost.

          I have planned to develop this in many milestones for adding N number of features and I have picked my first part to complete the core part (aggregate the product details from different sources).

          As per my work experience and knowledge, I have chosen the followings stacks to this mission.

          UI: I would like to develop this application using React, React Router and React Native since I'm a little bit familiar on this and also most importantly these will help on developing both web and mobile apps. In addition, I'm gonna use the stacks JavaScript, jQuery, jQuery UI, jQuery Mobile, Bootstrap wherever required.

          Service: I have planned to use Java as the main business layer language as I have 7+ years of experience on this I believe I can do better work using Java than other languages. In addition, I'm thinking to use the stacks Node.js.

          Database and ORM: I'm gonna pick MySQL as DB and Hibernate as ORM since I have a piece of good knowledge and also work experience on this combination.

          Search Engine: I need to deal with a large amount of product data and it's in-detailed info to provide enough details to end user at the same time I need to focus on the performance area too. so I have decided to use Solr as a search engine for product search and suggestions. In addition, I'm thinking to replace Solr by Elasticsearch once explored/reviewed enough about Elasticsearch.

          Host: As of now, my plan to complete the application with decent features first and deploy it in a free hosting environment like Docker and Heroku and then once it is stable then I have planned to use the AWS products Amazon S3, EC2, Amazon RDS and Amazon Route 53. I'm not sure about Microsoft Azure that what is the specialty in it than Heroku and Amazon EC2 Container Service. Anyhow, I will do explore these once again and pick the best suite one for my requirement once I reached this level.

          Build and Repositories: I have decided to choose Apache Maven and Git as these are my favorites and also so popular on respectively build and repositories.

          Additional Utilities :) - I would like to choose Codacy for code review as their Startup plan will be very helpful to this application. I'm already experienced with Google CheckStyle and SonarQube even I'm looking something on Codacy.

          Happy Coding! Suggestions are welcome! :)

          Thanks, Ganesa

          See more
          Code Climate logo

          Code Climate

          503
          443
          276
          Automated Ruby Code Review
          503
          443
          + 1
          276
          PROS OF CODE CLIMATE
          • 70
            Auto sync with Github
          • 49
            Simple grade system that motivates to keep code clean
          • 44
            Better coding
          • 29
            Free for open source
          • 21
            Hotspots for quick refactoring candidates
          • 15
            Continued encouragement to a have better / cleaner code
          • 13
            Great UI
          • 11
            Makes you a better coder
          • 10
            Duplication Detection
          • 5
            Safe and Secure
          • 2
            Private
          • 1
            Locally Installable API
          • 1
            Uses rubocop
          • 1
            Extremely accurate in telling you the errors
          • 1
            GitHub only
          • 1
            Python inspection
          • 1
            great open community
          • 1
            GitHub integration, status inline in PRs
          CONS OF CODE CLIMATE
          • 1
            Learning curve, static analysis comparable to eslint
          • 1
            Complains about small stylistic decisions

          related Code Climate posts

          Jerome Dalbert
          Senior Backend Engineer at StackShare · | 5 upvotes · 442.1K views

          The continuous integration process for our Rails backend app starts by opening a GitHub pull request. This triggers a CircleCI build and some Code Climate checks.

          The CircleCI build is a workflow that runs the following jobs:

          • check for security vulnerabilities with Brakeman
          • check code quality with RuboCop
          • run RSpec tests in parallel with the knapsack gem, and output test coverage reports with the simplecov gem
          • upload test coverage to Code Climate

          Code Climate checks the following:

          • code quality metrics like code complexity
          • test coverage minimum thresholds

          The CircleCI jobs and Code Climate checks above have corresponding GitHub status checks.

          Once all the mandatory GitHub checks pass and the code+functionality have been reviewed, developers can merge their pull request into our Git master branch. Code is then ready to deploy!

          #ContinuousIntegration

          See more
          TSLint logo

          TSLint

          478
          189
          0
          An extensible linter for the TypeScript language
          478
          189
          + 1
          0
          PROS OF TSLINT
            Be the first to leave a pro
            CONS OF TSLINT
              Be the first to leave a con

              related TSLint posts

              Simon Reymann
              Senior Fullstack Developer at QUANTUSflow Software GmbH · | 28 upvotes · 3.3M views

              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.
              See more
              Simon Reymann
              Senior Fullstack Developer at QUANTUSflow Software GmbH · | 20 upvotes · 805.6K views

              Our whole Vue.js frontend stack (incl. SSR) consists of the following tools:

              • Nuxt.js consisting of Vue CLI, Vue Router, vuex, Webpack and Sass (Bundler for HTML5, CSS 3), Babel (Transpiler for JavaScript),
              • Vue Styleguidist as our style guide and pool of developed Vue.js components
              • Vuetify as Material Component Framework (for fast app development)
              • TypeScript as programming language
              • Apollo / GraphQL (incl. GraphiQL) for data access layer (https://apollo.vuejs.org/)
              • ESLint, TSLint and Prettier for coding style and code analyzes
              • Jest as testing framework
              • Google Fonts and Font Awesome for typography and icon toolkit
              • NativeScript-Vue for mobile development

              The main reason we have chosen Vue.js over React and AngularJS is related to the following artifacts:

              • Empowered HTML. Vue.js has many similar approaches with Angular. This helps to optimize HTML blocks handling with the use of different components.
              • Detailed documentation. Vue.js has very good documentation which can fasten learning curve for developers.
              • Adaptability. It provides a rapid switching period from other frameworks. It has similarities with Angular and React in terms of design and architecture.
              • Awesome integration. Vue.js can be used for both building single-page applications and more difficult web interfaces of apps. Smaller interactive parts can be easily integrated into the existing infrastructure with no negative effect on the entire system.
              • Large scaling. Vue.js can help to develop pretty large reusable templates.
              • Tiny size. Vue.js weights around 20KB keeping its speed and flexibility. It allows reaching much better performance in comparison to other frameworks.
              See more
              RuboCop logo

              RuboCop

              290
              192
              38
              A Ruby static code analyzer, based on the community Ruby style guide
              290
              192
              + 1
              38
              PROS OF RUBOCOP
              • 9
                Open-source
              • 7
                Completely free
              • 6
                Runs Offline
              • 4
                Customizable
              • 4
                Follows the Ruby Style Guide by default
              • 3
                Can automatically fix some problems
              • 2
                Atom package
              • 2
                Integrates with Vim/Emacs/Atom/Sublime/
              • 1
                Integrates With Custom CMS
              CONS OF RUBOCOP
                Be the first to leave a con

                related RuboCop posts

                Francisco Quintero
                Tech Lead at Dev As Pros · | 7 upvotes · 358K views

                For many(if not all) small and medium size business time and cost matter a lot.

                That's why languages, frameworks, tools, and services that are easy to use and provide 0 to productive in less time, it's best.

                Maybe Node.js frameworks might provide better features compared to Rails but in terms of MVPs, for us Rails is the leading alternative.

                Amazon EC2 might be cheaper and more customizable than Heroku but in the initial terms of a project, you need to complete configurationos and deploy early.

                Advanced configurations can be done down the road, when the project is running and making money, not before.

                But moving fast isn't the only thing we care about. We also take the job to leave a good codebase from the beginning and because of that we try to follow, as much as we can, style guides in Ruby with RuboCop and in JavaScript with ESLint and StandardJS.

                Finally, comunication and keeping a good history of conversations, decisions, and discussions is important so we use a mix of Slack and Twist

                See more
                Jerome Dalbert
                Senior Backend Engineer at StackShare · | 5 upvotes · 442.1K views

                The continuous integration process for our Rails backend app starts by opening a GitHub pull request. This triggers a CircleCI build and some Code Climate checks.

                The CircleCI build is a workflow that runs the following jobs:

                • check for security vulnerabilities with Brakeman
                • check code quality with RuboCop
                • run RSpec tests in parallel with the knapsack gem, and output test coverage reports with the simplecov gem
                • upload test coverage to Code Climate

                Code Climate checks the following:

                • code quality metrics like code complexity
                • test coverage minimum thresholds

                The CircleCI jobs and Code Climate checks above have corresponding GitHub status checks.

                Once all the mandatory GitHub checks pass and the code+functionality have been reviewed, developers can merge their pull request into our Git master branch. Code is then ready to deploy!

                #ContinuousIntegration

                See more
                Codacy logo

                Codacy

                267
                448
                221
                Automate and Standardize Code Reviews for 30+ languages
                267
                448
                + 1
                221
                PROS OF CODACY
                • 41
                  Automated code review
                • 34
                  Easy setup
                • 27
                  Free for open source
                • 19
                  Customizable
                • 17
                  Helps reduce technical debt
                • 12
                  Best scala support
                • 12
                  Better coding
                • 10
                  Faster Employee Onboarding
                • 9
                  Great UI
                • 9
                  Duplication detector
                • 8
                  PHP integration
                • 5
                  Python inspection
                • 4
                  Many integrations
                • 3
                  Tools for JVM analysis
                • 3
                  Github Integration
                • 2
                  Must-have for Java
                • 2
                  Easy Travis integration
                • 2
                  Items can be ignored in the UI
                • 1
                  Asdasdas
                • 1
                  Gitlab
                • 0
                  Asdas
                CONS OF CODACY
                • 5
                  No support for private Git or Azure DevOps git

                related Codacy posts

                Ganesa Vijayakumar
                Full Stack Coder | Module Lead · | 19 upvotes · 2.5M views

                I'm planning to create a web application and also a mobile application to provide a very good shopping experience to the end customers. Shortly, my application will be aggregate the product details from difference sources and giving a clear picture to the user that when and where to buy that product with best in Quality and cost.

                I have planned to develop this in many milestones for adding N number of features and I have picked my first part to complete the core part (aggregate the product details from different sources).

                As per my work experience and knowledge, I have chosen the followings stacks to this mission.

                UI: I would like to develop this application using React, React Router and React Native since I'm a little bit familiar on this and also most importantly these will help on developing both web and mobile apps. In addition, I'm gonna use the stacks JavaScript, jQuery, jQuery UI, jQuery Mobile, Bootstrap wherever required.

                Service: I have planned to use Java as the main business layer language as I have 7+ years of experience on this I believe I can do better work using Java than other languages. In addition, I'm thinking to use the stacks Node.js.

                Database and ORM: I'm gonna pick MySQL as DB and Hibernate as ORM since I have a piece of good knowledge and also work experience on this combination.

                Search Engine: I need to deal with a large amount of product data and it's in-detailed info to provide enough details to end user at the same time I need to focus on the performance area too. so I have decided to use Solr as a search engine for product search and suggestions. In addition, I'm thinking to replace Solr by Elasticsearch once explored/reviewed enough about Elasticsearch.

                Host: As of now, my plan to complete the application with decent features first and deploy it in a free hosting environment like Docker and Heroku and then once it is stable then I have planned to use the AWS products Amazon S3, EC2, Amazon RDS and Amazon Route 53. I'm not sure about Microsoft Azure that what is the specialty in it than Heroku and Amazon EC2 Container Service. Anyhow, I will do explore these once again and pick the best suite one for my requirement once I reached this level.

                Build and Repositories: I have decided to choose Apache Maven and Git as these are my favorites and also so popular on respectively build and repositories.

                Additional Utilities :) - I would like to choose Codacy for code review as their Startup plan will be very helpful to this application. I'm already experienced with Google CheckStyle and SonarQube even I'm looking something on Codacy.

                Happy Coding! Suggestions are welcome! :)

                Thanks, Ganesa

                See more

                It is very important to have clean code. To be sure that the code quality is not really bad I use a few tools. I love SonarQube with many relevant hints and deep analysis of code. codebeat isn't so detailed, but it can find complexity issues and duplications. Codacy cannot find more bugs then your IDE. The winner for me is SonarQube that shows me really relevant bugs in my code.

                See more