coveralls-public
prettier
Our great sponsors
coveralls-public | prettier | |
---|---|---|
10 | 440 | |
124 | 48,301 | |
0.0% | 1.0% | |
10.0 | 9.8 | |
about 4 years ago | 1 day ago | |
JavaScript | ||
- | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
coveralls-public
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GitHub Actions for Perl Development
cpan_coverage: This calculates the coverage of your test suite and reports the results. It also uploads the results to coveralls.io
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Perl Testing in 2023
I will normally use GitHub Actions to automatically run my test suite on each push, on every major version of Perl I support. One of the test runs will load Devel::Cover and use it to upload test coverage data to Codecov and Coveralls.
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Containers for Coverage
Several years ago I got into Travis CI and set up lots of my GitHub repos so they automatically ran the tests each time I committed to the repo. Later on, I also worked out how to tie those test runs into Coveralls.io so I got pretty graphs of how my test coverage was looking. I gave a talk about what I had done.
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Comprehensive coverage Jest+Playwright in Next.js TS
This approach will create two json coverage files, which will be merged together by NYC. Therefore the results will be purely local. If You don't mind using online tools like Codecov or Coveralls for merging data from different tests, then go ahead and use them. They will probably also be more accurate. But if You still want to learn how to get coverage from E2E, then please read through
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RFC: A Full-stack Analytics Platform Architecture
Ideally, software can quickly go from development to production. Continuous deployment and delivery are some processes that make this possible. Continuous deployment means establishing an automated pipeline from development to production while continuous delivery means maintaining the main branch in a deployable state so that a deployment can be requested at any time. Predecos uses these tools. When a commit goes into master, the code is pushed directly to the public environment. Deployment also occurs when a push is made to a development branch enabling local/e2e testing before push to master. In this manner the master branch can be kept clean and ready for deployment most of the time. Problems that surface resulting from changes are visible before reaching master. Additional automated tools are used. Docker images are built for each microservice on commit to a development or master branch, a static code analysis is performed by SonarCloud revealing quality and security problems, Snyk provides vulnerability analysis and CodeClimate provides feedback on code quality while Coveralls provides test coverage. Finally, a CircleCI build is done. Each of these components use badges which give a heads-up display of the health of the system being developed. Incorporating each of these tools into the development process will keep the code on a trajectory of stability. For example, eliminating code smells, security vulnerabilities, and broken tests before merging a pull-request (PR) into master. Using Husky on development machines to ensure that code is well linted and locally tested before it is allowed to be pushed to source-control management (SCM). Applying additional processes such as writing tests around bugs meaning reintroduction of a given bug would cause a test to fail. The automated tools would then require that test to be fixed before push to SCM meaning fewer bugs will be reintroduced. Proper development processes and automation have a strong synergy.
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Any way to show cumulative code coverage using GitHub Actions for free?
There is https://coveralls.io/ and https://github.com/marketplace/codecov , but they are both priced for commercial usage. Do you know some free alternatives or approaches to have something similiar?
- Testes Unitários: Fundamentos e Qualidade de Software!
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Day 1: Project Scaffolding
Add a Code Coverage CI step using Coveralls.io Add Dependency monitoring using Snyk
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How to automate unit tests with github actions and coveralls for an npm package
Since there is no need to reinvent the wheel, I will take advantage of an existing github action in the Continuous integration workflows category: Node.js. With this action I will set up this action in one of my public repositories. I will set up Node.js action for automating my unit test and also integrate with coveralls.io for getting a badge of how much my tests covers relevant lines.
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Error with github build action
Looks like https://github.com/lemurheavy/coveralls-public/issues/632 this issue based on the log. Try going through their solutions, maybe?
prettier
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Shared Data-Layer Setup For Micro Frontend Application with Nx Workspace
Prettier: An opinionated code formatter that enforces a consistent code style.
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To Review or Not to Review: The Debate on Mandatory Code Reviews
Automating code checks with static code analysis allows us to enforce code styling effectively. By integrating tools into our workflow, we can identify errors at an early stage, while coding instead of blocking us at the end. For instance, flake8 checks Python code for style and errors, eslint performs similar checks for JavaScript, and prettier automatically formats code to maintain consistency.
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Setting up Doom Emacs for Astro Development
So anyways, I wanted to hook up Emacs with Astro support. For now, I've just been roughing it out there and running Prettier by itself and turning off save on format and auto-complete. It's been scary.
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Biome.js : Prettier+ESLint killer ?
If you're a developer, you're surely familiar with Prettier and ESLint. With over 8 years of existence, they have established themselves as references in the JavaScript ecosystem.
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Most basic code formatting
prettier is used to format you text
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How to use Lefthooks in your node project?
No formatting inconsistencies: The committed code should follow the organization's code formatting standards(prettier or pretty-quick).
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Git Project Configuration With Husky and ESLint
Let’s walk through the steps for a one-time setup to configure husky pre-commit and pre-push hooks, ESLint with code styles conventions, prettier code formatter, and lint-staged. Husky automatically runs a script on each commit or push. This is useful for linting files to enforce code styles that keeps the entire code base following conventions.
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What is an Abstract Syntax Tree in Programming?
GitHub | Website
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Shared Tailwind Setup For Micro Frontend Application with Nx Workspace
Prettier: An opinionated code formatter that enforces a consistent code style.
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Angular 14 + Prettier + Husky Setup
What is Prettier 😎?
What are some alternatives?
playwright-test-coverage - Playwright Test (@playwright/test) demo to collect coverage information via Istanbul
black - The uncompromising Python code formatter
thinkdeep - Economic analysis web application.
JS-Beautifier - Beautifier for javascript
GoCover.io - GoCover.io offers the code coverage of any golang package as a service.
dprint - Pluggable and configurable code formatting platform written in Rust.
lit - Lit is a simple library for building fast, lightweight web components.
ESLint - Find and fix problems in your JavaScript code.
TypeScript - TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
prettier-plugin-organize-imports - Make Prettier organize your imports using the TypeScript language service API.
jest - Delightful JavaScript Testing.
Standard - 🌟 JavaScript Style Guide, with linter & automatic code fixer