snyk
coveralls-public
Our great sponsors
snyk | coveralls-public | |
---|---|---|
62 | 10 | |
4,065 | 124 | |
- | 0.0% | |
9.9 | 10.0 | |
over 1 year ago | about 4 years ago | |
TypeScript | ||
GNU General Public License v3.0 or later | - |
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.
snyk
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How to secure JavaScript applications right from the CLI
There are a number of ways that you can install the Snyk CLI on your machine, ranging from using the available stand-alone executables to using package managers such as Homebrew for macOS and Scoop for Windows.
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Axios shipped a buggy version and it broke many productions apps. Let this be a lesson to pin your dependencies!
There's tons of tools to solve each of these problems Snyk for vulnerability scanning, tons of license checker plugins (like we use license-webpack-plugin which generates the license text for everything we distribute and fails a build if a license doesn't have one of our allowlisted licenses.
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The US military wants to understand the most important software on Earth - Open-source code runs on every computer on the planet—and keeps America’s critical infrastructure going. DARPA is worried about how well it can be trusted
oh, such companies already exist: For example Snyk
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Badges - TL;DR for your repository's README
Snyk provides security score and vulnerability count badges, which you can link to the relevant pages, as in these examples:
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If you had a few days to improve an existing Rails project before going live - what would you focus on?
If you app is dockerized I would recommend adding something like Snyk to make sure your image is safe.
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NodeSecure CLI v2.0.0
Note: I remind you that we support multiple strategy for vulnerabilities like Sonatype or Snyk.
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Free project-leading mentorship for senior engineers
My name is Adam, and I am a software engineer working at Snyk for the past 2.5 years. Over the past year, I have been leading a few projects that spanned multiple teams. My colleague is a tech lead at Snyk, and he’s been coaching people on how to lead projects effectively for a few years now.
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What should I expect from a MacOS development environment in enterprise?
So I'm curious, how are businesses building iOS apps securely? Could a tool like Snyk replace a manual audit, or is it a good idea to have an initial manual audit of our desired environment?
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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.
- test ad
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?
What are some alternatives?
trivy - Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
playwright-test-coverage - Playwright Test (@playwright/test) demo to collect coverage information via Istanbul
semgrep - Lightweight static analysis for many languages. Find bug variants with patterns that look like source code.
thinkdeep - Economic analysis web application.
SonarQube - Continuous Inspection
GoCover.io - GoCover.io offers the code coverage of any golang package as a service.
renovate
lit - Lit is a simple library for building fast, lightweight web components.
nsp
TypeScript - TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
Themis - Easy to use cryptographic framework for data protection: secure messaging with forward secrecy and secure data storage. Has unified APIs across 14 platforms.
jest - Delightful JavaScript Testing.