Head-to-head · Test Coverage Tools
Coveralls vs 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
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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 | ||
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| Cons |
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| 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 → |
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
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- Coveralls vs OpenClover
- Coveralls vs JaCoCo
- Coveralls vs SimpleCov
- Coveralls vs Coverlet
- ReportGenerator vs Coverage.py
All test coverage tools comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
Last updated · How we research and update


