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Head-to-head · Test Coverage Tools

Coveralls vs Coverage.py

  • Updated Sep 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Coveralls #2 in Test Coverage Tools 9.2/10 Free plan · paid from $10/mo · 30-day trial Free plan✓ 4 of 4 features Visit Coveralls
Coverage.py #6 in Test Coverage Tools 6.9/10 Free plan Free plan✓ 2 of 4 features Visit Coverage.py

Coveralls leads on 2 checks, Coverage.py on 0, and 3 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreCoveralls · 9.2/10
  • Free planboth
  • Most featuresCoveralls · 4 of 4

Coveralls scores higher on our rubric for test coverage tools: 9.2 against 6.9 out of 10; our editors rank them #2 and #6.

Coveralls offers pull-request annotations; Coverage.py doesn't publish it. Coveralls offers historical trends; Coverage.py doesn't publish it.

Coveralls is the better fit for mature multi-language coverage reporting. Coverage.py is the better fit for python teams needing dependable native coverage.

  • Coveralls fits best

    Mature multi-language coverage reporting

  • Coverage.py fits best

    Python teams needing dependable native coverage

Advertiser disclosure: iTechGuides is reader-supported. We may earn a commission when you click some links. It never changes our verdict. How we rank.

Side by side

Feature Coveralls 9.2/10 Visit ↗ Coverage.py 6.9/10 Visit ↗
At a glance
Editor score 9.2 6.9
Ranking #2 in Test Coverage Tools #6 in Test Coverage Tools
Best for Mature multi-language coverage reporting Python teams needing dependable native coverage
Pricing model Free plan + paid Free
Starting price $10/mo Not published
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted Self-hosted
Support Email, Live chat, Community, Docs Community, Docs
Integrations 30+ integrations 3 integrations
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Coveralls 4/4 · Coverage.py 2/4
Pull-request annotations ✓ (best) Not published
Self-hosted option ✓ ✓
Historical trends ✓ (best) Not published
Coverage gates ✓ ✓
Specs
Coverage types line, branch statement, branch
Supported languages .NET, C/C++, D, Elixir, Erlang, FORTRAN, Go, Haskell, Java, JavaScript, Julia, Kotlin, Lisp, Lua, OCaml, Objective-C, PHP, Python, R, Ruby, Scala, Smalltalk, Swift Python
Report formats LCOV, SimpleCov, Cobertura, JaCoCo, Gcov, LuaCov, Golang, Coveralls JSON, Pytest-Cov, Clover XML text, HTML, XML, LCOV, JSON
Our review
Pros
  • Repository, file, and line-level coverage statistics with history
  • Pull-request comments, thresholds, and commit status updates
  • Broad CI, language, notification, API, and self-hosted support
  • Measures both statement and branch coverage
  • Generates HTML, XML, JSON, LCOV, and text reports
  • Supports contexts, parallel collection, APIs, and thresholds
Cons
  • Private repositories require a paid plan
  • Language integrations are community-created unless otherwise noted
  • Higher tiers are needed for larger private-repository portfolios
  • Supports Python rather than multiple programming languages
  • Self-hosted rather than a hosted coverage service
  • Requires integration into existing testing and CI workflows
Our verdict

Coveralls is a web-based code coverage service for software teams and open-source projects. It receives coverage reports from continuous-integration workflows, stores build history, and presents repository, file, and line-level statistics.…

Read the review →

Coverage.py is an open-source tool for measuring which parts of Python programs execute during testing. It suits Python developers and teams that want coverage information within local workflows or continuous integration. Coverage.py…

Read the review →
  1. CoverallsTest Coverage Tools 9.2Free plan · paid from $10/mo · 30-day trial
  2. Coverage.pyTest Coverage Tools 6.9Free plan

Strengths and trade-offs

  • Coveralls — where it wins

    • Repository, file, and line-level coverage statistics with history
    • Pull-request comments, thresholds, and commit status updates
    • Broad CI, language, notification, API, and self-hosted support

    Where it doesn't

    • Private repositories require a paid plan
    • Language integrations are community-created unless otherwise noted
    • Higher tiers are needed for larger private-repository portfolios
  • Coverage.py — where it wins

    • Measures both statement and branch coverage
    • Generates HTML, XML, JSON, LCOV, and text reports
    • Supports contexts, parallel collection, APIs, and thresholds

    Where it doesn't

    • Supports Python rather than multiple programming languages
    • Self-hosted rather than a hosted coverage service
    • Requires integration into existing testing and CI workflows
  • Coveralls9.2/10 · Free plan · paid from $10/mo · 30-day trial

    A mature coverage service for multi-language teams needing CI and pull-request visibility.

    Visit CoverallsFull verdict →
  • Coverage.py6.9/10 · Free plan

    A free, open-source Python coverage tool with branch checks and flexible reports.

    Visit Coverage.pyFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026

Last updated · How we research and update