Core Features
Incremental Analysis
Real-Time Feedback

Teamscale analyses every commit and provides results within seconds after each commit. This fast feedback loop enables efficient development workflows, which are not possible using typical batch analysis tools.

Customizable
Dashboards & Trends

Custom dashboards provide a quick overview of the current quality status. Every developer can configure private dashboards or share them with the team. Teamscale provides a wide range of visualizations, including metric values, trends, tables, charts, and tree maps.

IDE Integrations
Develop Without Distractions

All quality data is displayed in your IDE to make you aware of quality issues during development. Never leave your code editor to get the information you need.

Test Gap Analysis
Test Smarter

Are you sure you tested your changes?
With Test Gap Analysis, it's very easy to identify critical changes that slipped through testing. Whether you want to see the entire system or just the changes for an individual issue, Teamscale has you covered!

History Analysis

Compare any two points of development to see how your system's quality has changed. Define iteration and release dates for easy visualization and comparison.

Visualize how metrics changed during the entire development phase. Zoom into areas of interest and easily discover the root-cause for unexpected changes in a metric's trend.

Teamscale is not only able to analyze your system's entire history. It also knows about branches in your version control system and respects them during analysis.

Programming Languages

Teamscale's analyses work on a wide variety of programming languages used today. Detecting clones, deep nesting, long methods and files is included for all languages.

  • ABAP
  • Ada
  • C#
  • C/C++
  • Cobol
  • Delphi
  • Fortran
  • Go
  • Gosu
  • Groovy
  • IEC 61131-3 ST
  • Java
  • JavaScript
  • Kotlin
  • Matlab
  • Objective-C
  • Open CL
  • OScript
  • PHP
  • PL/SQL
  • Python
  • Rust
  • Simulink/StateFlow
  • SQLScript
  • Swift
  • TypeScript
  • Visual Basic .NET
  • Xtend
Is your language missing?

New languages are added frequently and your language might already be supported.

Contact us!

Infrastructure Integration

Teamscale integrates with your infrastructure - all data is read from the version control system or issue tracker and analysis results can be protected by existing user management

Version Control Systems
  • Git (incl. GitHub, GitLab, BitBucket)
  • Gerrit
  • Subversion (SVN)
  • Azure DevOps (TFS)
  • Artifactory
Issue Trackers
  • Jira
  • GitHub Issues
  • Azure DevOps (TFS)
  • IBM RTC/Jazz
User Management
  • Microsoft Active Directory
  • (Open-)LDAP
  • Atlassian Crowd
Analyses & Integrations

Here are some examples of the sophisticated analyses that Teamscale can do.

Architecture Conformance

Compare the actual dependencies in your source code with your intended architecture. Provide guidance to your developers by tracking architecture violations in real-time.

Clone Detection

Automatically find duplicated code created by copy & paste. View existing clones to prevent bugs from inconsistent modification of duplicate source code.

Test Gap Analysis

Code changes often lead to bugs. Did you test your changes? Test Gap analysis makes changes and testing activities transparent. Stop untested changes from slipping into production.

Coding Conventions

Validate that your coding conventions are followed. Teamscale comes with common rules preconfigured, but lets you configure them to suit your individual requirements.

Documentation Analysis

Check if your code is fully documented. Documentation requirements are easily configurable; for example only require documentation of public methods that are not a simple getter/setter. You can also detect empty or trivial interface comments.

Structural Analysis

Find hotspots of badly structured code. All thresholds can be configured to fit your project's individual guidelines.

External Findings and Metrics

Teamscale provides a REST API for uploading findings and metrics from external sources. These are treated just like the results from Teamscale's own analyses.

See Static Analysis Tools

See Coverage Tools

Custom Checks

Teamscale comes with a flexible language for implementing custom project-specific checks.

Visit documentation

Analysis Tool Integrations

Teamscale supports a plethora of external analysis tools and format, and the list is always growing.
To just name a few: SpotBugs, dotCover, Istanbul, ESLint, Clang, and much more.

See Static Analysis Tools

See Coverage Tools

Frequently Asked Questions

Here are commons questions and their answers regarding Teamscale's analyses.

Does Teamscale support metric X?

Many tools measure, what is easy to measure and try to offer as many metrics as possible. For many of these metrics, including the infamous cyclomatic complexity, their interpretation in terms of software quality is vague at best. We feel that in most cases a finding pointing the developer to the problem in the code is more effective. We only measure few basic metrics about code structure, clone and findings density, and commenting, that help to get an overview of the entire code base.

Can I programmatically access the data in Teamscale?

Teamscale provides a well-documented REST API, which allows access to all of the data in Teamscale. This API is also used by the Web UI and the IDE plugins.

Does Teamscale calculate test coverage?

Teamscale does not directly execute your tests and calculate your coverage. However, we can import test coverage results from the most common coverage tools during your continuous integration builds. Coverage data can then be displayed both as overall metrics and overlaid over your code to see where quality issues and untested code meet each other.

Does Teamscale detect invalid or cyclic dependencies?

Cyclic dependencies themselves are not necessarily a quality problem. What we are interested in instead, is whether the code follows the design as intended by its architects. For this, Teamscale allows you to model the intended architecture of your system and compare the actual dependencies in the code against it. Teamscale is also a great tool for visualizing existing dependencies in your code.

Can I implement custom checks for Teamscale?

Yes. Teamscale provides a simple mechanism to describe custom checks that are executed incrementally during the analysis. If you don't want to do the coding yourself, we are happy to assist you in implementing checks for your custom rules.

Couldn't find what you need?

Teamscale is easily extendable to new programming languages, new version control systems, new issue trackers or external analysis tools.

Contact us!