coveralls-public
TypeScript
Our great sponsors
coveralls-public | TypeScript | |
---|---|---|
10 | 1,305 | |
124 | 97,944 | |
0.0% | 1.0% | |
10.0 | 9.9 | |
about 4 years ago | 6 days ago | |
TypeScript | ||
- | Apache License 2.0 |
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?
TypeScript
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JSR Is Not Another Package Manager
Regular expressions are part of the language, so it's not so unreasonable that TypeScript should parse them and take their semantics into account. Indeed, TypeScript 5.5 will include [new support for syntax checking of regular expressions](https://github.com/microsoft/TypeScript/pull/55600), and presumably they'll eventually be able to solve the problem the GP highlighted on top of those foundations.
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TypeScript Essentials: Distinguishing Types with Branding
Dedicated syntax for creating unique subsets of a type that denote a particular refinement is a longstanding ask[2] - and very useful, we've experimented with implementations.[3]
I don't think it has any relation to runtime type checking at all. It's refinement types, [4] or newtypes[5] depending on the details and how you shape it.
[1] https://github.com/microsoft/TypeScript/blob/main/src/compil...
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What is an Abstract Syntax Tree in Programming?
GitHub | Website
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Smart Contract Programming Languages: sCrypt vs. Solidity
Learning Curve and Developer Tooling sCrypt is an embedded Domain Specific Language (eDSL) based on TypeScript. It is strictly a subset of TypeScript, so all sCrypt code is valid TypeScript. TypeScript is chosen as the host language because it provides an easy, familiar language (JavaScript), but with type safety. There’s an abundance of learning materials available for TypeScript and thus sCrypt, including online tutorials, courses, documentation, and community support. This makes it relatively easy for beginners to start learning. It also has a vast ecosystem with numerous libraries and frameworks (e.g., React, Angular, Vue) that can simplify development and integration with Web2 applications.
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Understanding the Difference Between Type and Interface in TypeScript
As a JavaScript or TypeScript developer, you might have come across the terms type and interface when working with complex data structures or defining custom types. While both serve similar purposes, they have distinct characteristics that influence when to use them. In this blog post, we'll delve into the differences between types and interfaces in TypeScript, providing examples to aid your understanding.
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Type-Safe Fetch with Next.js, Strapi, and OpenAPI
TypeScript helps you in many ways in the context of a JavaScript app. It makes it easier to consume interfaces of any type.
- Proposal: Types as Configuration
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How to scrape Amazon products
In this guide, we'll be extracting information from Amazon product pages using the power of TypeScript in combination with the Cheerio and Crawlee libraries. We'll explore how to retrieve and extract detailed product data such as titles, prices, image URLs, and more from Amazon's vast marketplace. We'll also discuss handling potential blocking issues that may arise during the scraping process.
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Shared Tailwind Setup For Micro Frontend Application with Nx Workspace
TypeScript
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Building a Dynamic Job Board with Issues Github, Next.js, Tailwind CSS and MobX-State-Tree
Familiarity with TypeScript, React and Next.js
What are some alternatives?
playwright-test-coverage - Playwright Test (@playwright/test) demo to collect coverage information via Istanbul
zod - TypeScript-first schema validation with static type inference
thinkdeep - Economic analysis web application.
Flutter - Flutter makes it easy and fast to build beautiful apps for mobile and beyond
GoCover.io - GoCover.io offers the code coverage of any golang package as a service.
Tailwind CSS - A utility-first CSS framework for rapid UI development.
lit - Lit is a simple library for building fast, lightweight web components.
zx - A tool for writing better scripts
jest - Delightful JavaScript Testing.
esbuild - An extremely fast bundler for the web
snyk - Snyk CLI scans and monitors your projects for security vulnerabilities. [Moved to: https://github.com/snyk/cli]
gray-matter - Smarter YAML front matter parser, used by metalsmith, Gatsby, Netlify, Assemble, mapbox-gl, phenomic, vuejs vitepress, TinaCMS, Shopify Polaris, Ant Design, Astro, hashicorp, garden, slidev, saber, sourcegraph, and many others. Simple to use, and battle tested. Parses YAML by default but can also parse JSON Front Matter, Coffee Front Matter, TOML Front Matter, and has support for custom parsers. Please follow gray-matter's author: https://github.com/jonschlinkert