Alternatives to WhiteSource logo

Alternatives to WhiteSource

Snyk, Black Duck, Veracode, SonarQube, and Checkmarx are the most popular alternatives and competitors to WhiteSource.
23
67
+ 1
0

What is WhiteSource and what are its top alternatives?

The leading solution for agile open source security and license compliance management, WhiteSource integrates with the DevOps pipeline to detect vulnerable open source libraries in real-time.
WhiteSource is a tool in the Dependency Monitoring category of a tech stack.

Top Alternatives to WhiteSource

  • Snyk
    Snyk

    Automatically find & fix vulnerabilities in your code, containers, Kubernetes, and Terraform ...

  • Black Duck
    Black Duck

    It is a solution that helps development teams manage risks that come with the use of open source. It gives you complete visibility into open source management, combining sophisticated, multi-factor open source detection capabilities with the Black Duck KnowledgeBase. ...

  • Veracode
    Veracode

    It seamlessly integrates application security into the software lifecycle, effectively eliminating vulnerabilities during the lowest-cost point in the development/deployment chain, and blocking threats while in production. ...

  • 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. ...

  • Checkmarx
    Checkmarx

    It is a provider of state-of-the-art application security solution: static code analysis software, seamlessly integrated into development process. ...

  • FOSSA
    FOSSA

    Stop vulnerabilities, automate compliance, and mitigate third-party risk in your applications ...

  • ShiftLeft
    ShiftLeft

    ShiftLeft CORE provides fast and accurate application security findings built directly into the development workflow. ...

  • Git
    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. ...

WhiteSource alternatives & related posts

Snyk logo

Snyk

472
20
Automatically find & fix vulnerabilities in your code, containers, Kubernetes, and Terraform
472
20
PROS OF SNYK
  • 10
    Github Integration
  • 5
    Free for open source projects
  • 4
    Finds lots of real vulnerabilities
  • 1
    Easy to deployed
CONS OF SNYK
  • 2
    Does not integrated with SonarQube
  • 1
    No malware detection
  • 1
    No surface monitoring
  • 1
    Complex UI
  • 1
    False positives

related Snyk posts

Bryan Dady
SRE Manager at Subsplash · | 5 upvotes · 452.2K views

I'm beginning to research the right way to better integrate how we achieve SCA / shift-left / SecureDevOps / secure software supply chain. If you use or have evaluated WhiteSource, Snyk, Sonatype Nexus, SonarQube or similar, I would very much appreciate your perspective on strengths and weaknesses and how you selected your ultimate solution. I want to integrate with GitLab CI.

See more
Black Duck logo

Black Duck

46
0
Open Source Security & License tracking
46
0
PROS OF BLACK DUCK
    Be the first to leave a pro
    CONS OF BLACK DUCK
      Be the first to leave a con

      related Black Duck posts

      Shared insights
      on
      VeracodeVeracodeBlack DuckBlack Duck

      Hi Everyone, I am using Black Duck for my project...I need some advantages on Blackduck as compared to Veracode and other tools..... I don't have any idea about other tools, So I am not able to compare practically.. Please help me.

      See more
      Shared insights
      on
      SonarQubeSonarQubeBlack DuckBlack Duck

      Is it possible to integrate Black Duck, SonarQube and Coverity with Fortify SSC?

      See more
      Veracode logo

      Veracode

      64
      0
      A simpler and more scalable way to increase the resiliency of your global application infrastructure
      64
      0
      PROS OF VERACODE
        Be the first to leave a pro
        CONS OF VERACODE
          Be the first to leave a con

          related Veracode posts

          Shared insights
          on
          VeracodeVeracodeBlack DuckBlack Duck

          Hi Everyone, I am using Black Duck for my project...I need some advantages on Blackduck as compared to Veracode and other tools..... I don't have any idea about other tools, So I am not able to compare practically.. Please help me.

          See more
          SonarQube logo

          SonarQube

          1.7K
          53
          Continuous Code Quality
          1.7K
          53
          PROS OF SONARQUBE
          • 26
            Tracks code complexity and smell trends
          • 16
            IDE Integration
          • 9
            Complete code Review
          • 2
            Difficult to deploy
          CONS OF SONARQUBE
          • 7
            Sales process is long and unfriendly
          • 7
            Paid support is poor, techs arrogant and unhelpful
          • 1
            Does not integrate with Snyk

          related SonarQube posts

          Simon Reymann
          Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 12M 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 | Technical Architect · | 19 upvotes · 5.7M 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
          Checkmarx logo

          Checkmarx

          84
          0
          Unify your application security into a single platform
          84
          0
          PROS OF CHECKMARX
            Be the first to leave a pro
            CONS OF CHECKMARX
              Be the first to leave a con

              related Checkmarx posts

              FOSSA logo

              FOSSA

              29
              4
              Stop vulnerabilities, automate compliance, and mitigate third-party risk in your applications.
              29
              4
              PROS OF FOSSA
              • 1
                Easy to integrate
              • 1
                Fewer false positives
              • 1
                Native to CI
              • 1
                Supports full text license scanning
              CONS OF FOSSA
                Be the first to leave a con

                related FOSSA posts

                ShiftLeft logo

                ShiftLeft

                4
                0
                Static code analysis, Secrets detection, Software composition analysis, and Security training in one platform
                4
                0
                PROS OF SHIFTLEFT
                  Be the first to leave a pro
                  CONS OF SHIFTLEFT
                    Be the first to leave a con

                    related ShiftLeft posts

                    Git logo

                    Git

                    299.1K
                    6.6K
                    Fast, scalable, distributed revision control system
                    299.1K
                    6.6K
                    PROS OF GIT
                    • 1.4K
                      Distributed version control system
                    • 1.1K
                      Efficient branching and merging
                    • 959
                      Fast
                    • 845
                      Open source
                    • 726
                      Better than svn
                    • 368
                      Great command-line application
                    • 306
                      Simple
                    • 291
                      Free
                    • 232
                      Easy to use
                    • 222
                      Does not require server
                    • 28
                      Distributed
                    • 23
                      Small & Fast
                    • 18
                      Feature based workflow
                    • 15
                      Staging Area
                    • 13
                      Most wide-spread VSC
                    • 11
                      Disposable Experimentation
                    • 11
                      Role-based codelines
                    • 7
                      Frictionless Context Switching
                    • 6
                      Data Assurance
                    • 5
                      Efficient
                    • 4
                      Just awesome
                    • 3
                      Easy branching and merging
                    • 3
                      Github integration
                    • 2
                      Compatible
                    • 2
                      Possible to lose history and commits
                    • 2
                      Flexible
                    • 1
                      Team Integration
                    • 1
                      Easy
                    • 1
                      Light
                    • 1
                      Fast, scalable, distributed revision control system
                    • 1
                      Rebase supported natively; reflog; access to plumbing
                    • 1
                      Flexible, easy, Safe, and fast
                    • 1
                      CLI is great, but the GUI tools are awesome
                    • 1
                      It's what you do
                    • 0
                      Phinx
                    CONS OF GIT
                    • 16
                      Hard to learn
                    • 11
                      Inconsistent command line interface
                    • 9
                      Easy to lose uncommitted work
                    • 8
                      Worst documentation ever possibly made
                    • 5
                      Awful merge handling
                    • 3
                      Unexistent preventive security flows
                    • 3
                      Rebase hell
                    • 2
                      Ironically even die-hard supporters screw up badly
                    • 2
                      When --force is disabled, cannot rebase
                    • 1
                      Doesn't scale for big data

                    related Git posts

                    Simon Reymann
                    Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 12M 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
                    Tymoteusz Paul
                    Devops guy at X20X Development LTD · | 23 upvotes · 10.2M 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