Search Results for "test" - Page 18
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Showing 2332 open source projects for "test"
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1
Cerebral
Declarative state and side effects management for popular JavaScript
...That means you can run tests across projects and general management of the code is simplified a lot. When you make a code change you should create a branch first. When the code is changed and backed up by a test you can commit it from the root. A declarative approach to application logic also allows us to build developer tools that builds the mental image of this complexity for you. It makes perfect sense for us to write our UIs with declarative code. The reason is that we need to reuse UI elements and compose them together in different configurations. ... -
2
nodejs-integration-tests-best-practices
Beyond the basics of Node.js testing
Component/integration test is a hybrid between E2E and unit tets. It's gaining a lot of popularity and going by the testing diamond model it is considered as the default technique for the modern backend. Its main idea is testing an entire component (e.g., Microservice) as-is, through the API, with all the layers including the database but fake anything extraneous. -
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eslint-plugin-jest
ESLint plugin for Jest
...Add jest to the plugins section of your .eslintrc configuration file. You can omit the eslint-plugin- prefix. The rules provided by this plugin assume that the files they are checking are test-related. This means it's generally not suitable to include them in your top-level configuration as that applies to all files being linted which can include source files. Since we cache the automatically determined version, if you're linting sub-folders that have different versions of Jest, you may find that the wrong version of Jest is considered when linting. ... -
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AWS X-Ray SDK for Python
AWS X-Ray SDK for the Python programming language
...If customer wants to enable generating secure random trace and entity id for all the (sampled/unsampled) requests (this is applicable for trace id injection into logs use case) then they should set the AWS_XRAY_NOOP_ID environment variable as False. Oftentimes, it may be useful to be able to disable X-Ray for specific use cases, whether to stop X-Ray from sending traces at any moment or to test code functionality that originally depended on X-Ray instrumented packages to begin segments prior to the code call. For example, if your application relied on an XRayMiddleware to instrument incoming web requests, and you have a method that begins subsegments based on the segment generated. -
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AWS Toolkit for JetBrains
A plugin for interacting with AWS from JetBrains IDEs
...In addition to providing code suggestions within your current file, CodeWhisperer can scan your code package to identify security issues. Connect to AWS using static credentials, credential process, or AWS SSO. View and manage AWS resources. Locally test and step-through debug functions in a Lambda-like execution environment provided by the AWS SAM CLI. Supports Java, Python, Node.js, and .NET Core. -
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cocoyaxi
A go-style coroutine library in C++11 and more
...Multi-thread scheduling, the default number of threads is the number of system CPU cores. Shared stack, coroutines in the same thread share several stacks (the default size is 1MB), and the memory usage is low. Simple test on Linux shows that 10 millions of coroutines only take 2.8G of memory (for reference only). There is a flat relationship between coroutines, and new coroutines can be created from anywhere (including in coroutines). Support system API hook (Windows/Linux/Mac), you can directly use third-party network library in coroutine. -
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Agola
Agola CI/CD Redefined
...GitHub, GitLab, Gitea, custom Git repositories (and more to come). Execute your tasks inside a Kubernetes cluster, local docker, etc. Keep the same Runs definition but use different variables values based on rules to test your runs on multiple environments. Runs definitions are committed inside your git repositories and triggered upon push/tag/pull request. Scalable and High Available: go from a single instance (single process) deployment to a distributed deployment. Deploy anywhere: Kubernetes, IaaS, bare metal and execute the "tasks" anywhere (currently containers executors like docker or orchestrators and Kubernetes, but easily extensible to future technologies or VMs instead of containers). ... -
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HTTP Kit
Clojure HTTP server/client library with WebSocket support
...Using an event-driven architecture like Nginx, HTTP-kit is very, very fast. It comfortably handles tens of thousands of requests/sec on even midrange hardware. Here is another test about how it stacks up with others. It's not only fast, but efficient! Each connection costs nothing but a few kB of memory. RAM usage grows O(n) with connections. Written from the ground-up to be lean, the entire client/server is available as a single ~90kB JAR with zero dependencies and ~3k lines of (mostly Java) code. Synchronous is simple. ... -
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S3Proxy
S3Proxy implements the S3 API and proxies requests
S3Proxy implements the S3 API and proxies requests, enabling several use cases. Translation from S3 to Backblaze B2, EMC Atmos, Google Cloud, Microsoft Azure, and OpenStack Swift. Testing without Amazon by using the local filesystem. Extension via middleware. Embedding into Java applications. Docker Hub hosts a Docker image and has instructions on how to run it. Users can download releases from GitHub. Developers can build the project by running mvn package which produces a binary at... -
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10
Checkov
Prevent cloud misconfigurations during build-time for Terraform
...Scan cloud resources in build-time for misconfigured attributes with a simple Python policy-as-code framework. Analyze relationships between cloud resources using Checkov’s graph-based YAML policies. Execute, test, and modify runner parameters in the context of a subject repository CI/CD and version control integrations. -
11
TypeGraphQL
Create GraphQL schema and resolvers with TypeScript
...Dependency injection support and decorators abstraction provide great separation of business logic from the underlying transport layer. That gives you really easy testability, so you can just provide mocks of dependencies to prevent side effects and unit test your resolvers like simple services whose methods only take some parameters. -
12
Bot Framework Web Chat
A highly-customizable web-based client for Azure Bot Services
...Create a bot with the ability to speak, listen, understand, and learn from your users with Azure Cognitive Services. Benefit from open source SDK and tools to build, test, and connect bots that interact naturally with users, wherever they are. Build secure, global, scalable solutions that integrate with your existing IT ecosystem. Create an AI experience that can extend your brand and keep you in control of your own data. -
13
AppTestStudio
Automate your apps, games, and Android emulators
AppTestStudio (ATS) is an automated development environment, you can build, test, and automate Windows applications and android emulators. Quickly and interactively create automated actions by building Events either with pixel color matching, or using OpenCV image matching. Then attach actions to the events such as clicking or dragging. The multi processing (multiple scripts at the same time) was removed now only a single script can be run at one time. -
14
sbt
sbt, the interactive build tool
...One of the examples of a Scala-specific feature is the ability to cross-build your project against multiple Scala versions. build.sbt is a Scala-based DSL to express parallel processing task graph. Typos in build.sbt will be caught as a compilation error. With Zinc incremental compiler and file watch (~), edit-compile-test loop is fast and incremental. Adding support for new tasks and platforms (like Scala.js) is as easy as writing build.sbt. Join 100+ community-maintained plugins to share and reuse sbt tasks. Continuous compilation and testing with triggered execution. Supports mixed Scala/Java projects. Supports testing with ScalaCheck, specs, and ScalaTest. ... -
15
Quick
The Swift (and Objective-C) testing framework
...Depending on which version of Swift your project uses, you should use specific versions of Quick and Nimble. When code doesn't work the way it's supposed to, unit tests should make it clear exactly what's wrong. Nimble makes your test assertions, and their failure messages, easier to read. Nimble provides many different kind of assertions, each with great failure messages. And unlike XCTAssert, you don't have to type your own failure message every time. All documentation can be found in the Documentation folder, including detailed installation instructions for CocoaPods, Carthage, Git submodules, and more. -
16
Learn Go with Tests
Learn Go with test-driven development
Katas are fun but they are usually limited in their scope for learning a language; you're unlikely to use goroutines to solve a kata. Another problem is when you have varying levels of enthusiasm. Some people just learn way more of the language than others and when demonstrating what they have done end up confusing people with features the others are not familiar with. This ends up making the learning feel quite unstructured and ad hoc. By far the most effective way was by slowly introducing... -
17
JHipster
Development platform to generate and deploy modern web apps
...Deployment support exists for AWS, Azure, Cloud Foundry, Google Cloud Platform, Heroku, and OpenShift. Our goal is to generate a complete and modern web app or microservice architecture, unifying: A high-performance and robust server-side stack with excellent test coverage; a sleek, modern, mobile-first UI with Angular, React, or Vue + Bootstrap for CSS; and a powerful workflow to build your application with Webpack and Maven or Gradle. -
18
Parse Server
API server module for Node/Express
...It can be added to existing web applications, or run by itself. Parse Server is continuously tested with the most recent releases of Node.js to ensure compatibility. We follow the Node.js Long Term Support plan and only test against versions that are officially supported and have not reached their end-of-life date. You can use any arbitrary string as your application id and master key. These will be used by your clients to authenticate with the Parse Server. Parse provides SDKs for all the major platforms. -
19
Faker for Python
Python package that generates fake data for you
Faker is a Python package that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill-in your persistence to stress test it, or anonymize data taken from a production service, Faker is for you. Starting from version 4.0.0, Faker dropped support for Python 2 and from version 5.0.0 only supports Python 3.6 and above. If you still need Python 2 compatibility, please install version 3.0.1 in the meantime, and please consider updating your codebase to support Python 3 so you can enjoy the latest features Faker has to offer. ... -
20
Valdi
Cross-platform UI framework that delivers native performance
...The framework also emphasizes developer velocity with tooling that shortens the edit–run cycle, including rapid hot reload and a workflow that aims to reduce the traditional compile-test-debug friction in native development. -
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Jenkins-Zero-To-Hero
Install Jenkins and configure Docker
...From there, it covers installing plugins like Docker Pipeline, configuring Docker as an agent, and wiring up multi-stage and multi-agent pipelines. The folder structure includes practical examples such as java-maven-sonar-argocd-helm-k8s and python-jenkins-argocd-k8s, showing real CI/CD flows that build, test, analyze, containerize, and deploy apps to Kubernetes via Argo CD in a GitOps style. The README walks through detailed step-by-step commands and screenshots, making it accessible to beginners who are unfamiliar with Jenkins, AWS, or pipelines. -
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Playground Cheatsheet for Python
Playground and cheatsheet for learning Python
learn-python is another repository by Oleksii Trekhleb that serves as both a playground and an interactive cheatsheet for learning Python. It contains numerous Python scripts organized by topic (lists, dictionaries, loops, functions, classes, modules, etc.), each with code examples, explanations, test assertions, and links to further readings. The design supports “learn by doing”: you can modify the code, run the tests, see how behavior changes, and thus internalize Python language features, idioms, and good style practices (including linting and PEP8). Because it is organized in bite-sized chunks, it’s ideal for beginners or people refreshing their Python skills who want to revisit syntax and common patterns before moving into larger frameworks or applications. ... -
23
XLS
XLS: Accelerated HW Synthesis
...The compiler lowers DSLX into a rich intermediate representation, applies aggressive optimization and scheduling passes, and can either JIT the design for software simulation or emit Verilog for FPGA/ASIC flows. A key idea is “software-style” iteration: fast, deterministic simulation via the JIT encourages test-driven development and property checking before committing to RTL. XLS also provides tooling for pipelining, state insertion, and formal equivalence checks between different stages, giving developers confidence as designs evolve. The result is a productive path from high-level specification to real hardware, without giving up control over latency, throughput, and area trade-offs. -
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Flutter Architecture Samples
TodoMVC for Flutter
Flutter Architecture Samples is a curated repository that implements the same app (typically a “todo” app) using various architectural / state management patterns (e.g. BLoC, Redux, Provider, MVC, etc.). Its goal is educational: to help developers compare architecture styles, understand trade-offs, and see best practices in action. You can use the samples in this project as a learning reference, as a roughly apples-to-apples comparison of different approaches, or as a starting point for... -
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Swift Algorithm Club
Algorithms and data structures in Swift, with explanations
...Because it's in Swift, the code is idiomatic and leverages Swift language features and standard patterns, which helps learners see how algorithmic ideas map into modern code. Many of the algorithms come with test harnesses so you can run them and experiment.
