Search Results for "food quality testing"
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Showing 916 open source projects for "food quality testing"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Build innovative business apps powered by process automationManage your business as a unified system of interacting processes. Use BPMN 2.0 for low-code process modeling by business people. Follow your strategic goals with process architecture that always corresponds to the structure of an actual business.
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Cerberus Testing
The Open Source Test Automation Platform
Cerberus Testing is a scalable test automation platform for teams searching to accelerate software delivery with confidence. Cerberus Testing is a test automation platform that allows iteration with quality and speed through test definition, execution, and reporting. The platform allows the creation of automated test cases through an easy-to-use web interface without any need for development skills - automated test implementation and management now become available for all elements of the development, quality, and business teams. ... -
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DQO Data Quality Operations Center
Data Quality Operations Center
DQO is an DataOps friendly data quality monitoring tool with customizable data quality checks and data quality dashboards. DQO comes with around 100 predefined data quality checks which helps you monitor the quality of your data. Table and column-level checks which allows writing your own SQL queries. Daily and monthly date partition testing. Data segmentation by up to 9 different data streams. -
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Delightful JavaScript Testing
Delightful JavaScript Testing
Jest is a delightful JavaScript Testing Framework with a focus on simplicity. Jest aims to work out of the box, config-free, on most JavaScript projects. Make tests that keep track of large objects with ease. Snapshots live either alongside your tests or embedded inline. Tests are parallelized by running them in their own processes to maximize performance. By ensuring your tests have unique global state, Jest can reliably run tests in parallel. To make things quick, Jest runs previously... -
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Giskard
Collaborative & Open-Source Quality Assurance for all AI models
The testing framework dedicated to ML models, from tabular to LLMs. Giskard is an open-source testing framework dedicated to ML models, from tabular models to LLMs. Testing Machine Learning applications can be tedious. Since ML models depend on data, testing scenarios depend on the domain specificities and are often infinite. At Giskard, we believe that Machine Learning needs its own testing framework. Created by ML engineers for ML engineers, Giskard enables you to scan your model to find... -
Effortlessly Manage Product InformationA single source of truth for all of your product information with easy ways to distribute that data to wherever it needs to go, including the most powerful e-commerce connectors in the industry.
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Step CI
Automated API Testing and Quality Assurance
Step CI is an open-source API Quality Assurance framework. Language-agnostic. Configure easily using YAML, JSON or JavaScript. REST, GraphQL, gRPC, tRPC, SOAP. Test different API types in one workflow. Self-hosted. Test services on your network, locally or with CI/CD. Integrated. Play nicely with others. -
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nbmake
Pytest plugin for testing notebooks
Pytest plugin for testing and releasing notebook documentation. To raise the quality of scientific material through better automation. Research/Machine Learning Software Engineers who maintain packages/teaching materials with documentation written in notebooks. -
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Infection
PHP Mutation Testing library
Infection is a PHP mutation testing framework used to evaluate the quality and effectiveness of test suites. It works by introducing small changes (mutations) into the codebase and checking whether the existing tests catch them. If a mutation passes undetected, it suggests that the tests may be insufficient. Infection integrates with PHPUnit and helps developers strengthen their test coverage and logic. -
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SaaS Boilerplate
SaaS Boilerplate built with Next.js + Tailwind CSS + Shadcn UI
...Packed with essential features like built-in Authentication, Multi-Tenancy with Team support, Role & Permission, Database, I18n (internationalization), Landing Page, User Dashboard, Form handling, SEO optimization, Logging, Error reporting with Sentry, Testing, Deployment, Monitoring, and User Impersonation, this SaaS template provides everything you need to get started. Designed with developers in mind, this Next.js Starter Kit uses TypeScript for type safety and integrates ESLint to maintain code quality, along with Prettier for consistent code formatting. The testing suite combines Vitest and React Testing Library for robust unit testing, while Playwright handles integration and E2E testing. -
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Prompt flow
Build high-quality LLM apps
Prompt flow is a suite of development tools designed to streamline the end-to-end development cycle of LLM-based AI applications, from ideation, prototyping, testing, and evaluation to production deployment and monitoring. It makes prompt engineering much easier and enables you to build LLM apps with production quality. -
No-code automation to improve your process workflowsTransform your financial and HR operations and improve efficiency even remotely with digital, customized workflows that your team can automate and integrate with other software without the need of IT development.
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Booster
Optimizer for mobile applications
Booster is an easy-to-use, lightweight, powerful and extensible quality optimization toolkit designed specially for mobile applications. The primary goal is to solve quality problems with the increase of APP complexity, such as performance, stability, and package size, etc. Booster provides a collection of modules for performance detection, multithreading optimization, resources index inline, redundant resources reduction, resources compression, system bug fixing, etc. Using booster, the... -
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Mockito
Most popular Mocking framework for unit tests written in Java
Mockito downloads and instructions for setting up Maven, Gradle and other build systems are available from the Central Repository and Bintray. Mockito 3.x requires Java 8, but otherwise doesn’t introduce any breaking changes compared to the 2.x series. Mockito 2.25.0 had an important feature added for anyone using mockito-inline. In particular anyone using Kotlin (which demands using mockito-inline) and PowerMock (which exacerbates the problem even more) will want to add this to all of their... -
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PM2
Node.js Production Process Manager with a built-in Load Balancer
PM2 (Process Manager 2) is a production process manager with its own built-in load-balancer for Node.js applications. If you want battle-hardened Node.js applications that can be monitored and kept alive forever, PM2 is the way to go. PM2 lets you manage, maintain and increase Node.js performance. It is constantly assailed by over 1800 tests so you can deliver high quality applications, and deploy confidently and more often. PM2 is cross-platform and arguably the most widely-used... -
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Mimesis
High-performance fake data generator for Python
Mimesis is an open source high-performance fake data generator for Python, able to provide data for various purposes in various languages. It's currently the fastest fake data generator for Python, and supports many different data providers that can produce data related to people, food, transportation, internet and many more. Mimesis is really easy to use, with everything you need just an import away. Simply import an object, called a Provider, which represents the type of data you... -
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Apache Airflow Provider
Great Expectations Airflow operator
Due to apply_default decorator removal, this version of the provider requires Airflow 2.1.0+. If your Airflow version is 2.1.0, and you want to install this provider version, first upgrade Airflow to at least version 2.1.0. Otherwise, your Airflow package version will be upgraded automatically, and you will have to manually run airflow upgrade db to complete the migration. This operator currently works with the Great Expectations V3 Batch Request API only. If you would like to use the... -
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Schemathesis
Guarantee flawless API functionality with test scenarios
Guarantee flawless API functionality with thorough, high-quality test scenarios generated from your API specification. Schemathesis is a specification-centric API testing tool for Open API and GraphQL-based applications. It reads the application schema and generates test cases, which will ensure that your application is compliant with its schema and never crashes. The application under test could be written in any language; the only thing you need is a valid API schema in a supported format. ... -
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react-rollup-boilerplate
Boilerplate for creating React component libraries
This boilerplate is tailored for creating React component libraries, utilizing Rollup.js to bundle components into ES Modules and CommonJS formats. It incorporates TypeScript for type safety and Storybook for interactive component development, streamlining the process of building and distributing reusable React components. -
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Pitest
State of the art mutation testing system for the JVM
PIT is a state of the art mutation testing system, providing gold standard test coverage for Java and the jvm. It's fast, scalable and integrates with modern test and build tooling. Faults (or mutations) are automatically seeded into your code, then your tests are run. If your tests fail then the mutation is killed, if your tests pass then the mutation lived. As it is actually able to detect whether each statement is meaningfully tested, mutation testing is the gold standard against which... -
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cocoyaxi
A go-style coroutine library in C++11 and more
cocoyaxi (co for short), is an elegant and efficient cross-platform C++ base library. It contains a series of high-quality base components, such as a go-style coroutine, coroutine-based network programming framework, command line, and config file parser, high-performance log library, unit testing framework, JSON library, etc. co has implemented a go-style coroutine, which has the following features. Multi-thread scheduling, the default number of threads is the number of system CPU cores. ... -
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Prompt Optimizer
A prompt word optimizer to help write high-quality prompt words
...It also includes advanced capabilities like multi-model integration, context testing, and real-time comparison of prompt outputs, helping users to see exactly how prompt changes influence results. -
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lakeFS
lakeFS - Git-like capabilities for your object storage
...Dealing with that without a data version control system is error-prone and labor-intensive. With lakeFS, your data lake is version controlled and you can easily time-travel between consistent snapshots of the lake. Easier ETL testing - test your ETLs on top of production data, in isolation, without copying anything. Safely experiment and test on full production data. Easily Collaborate on production data with your team. Automate data quality checks within data pipelines. -
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ODD Platform
First open-source data discovery and observability platform
...With ODD’s automatic company-wide ingestion-to-product lineage you’ll have answers in just seconds and stakeholders won’t need to wait. Sleep well, knowing all your data is in check. Forget manual testing, days of debugging, and weeks of worrying. Know the impact of each code change with automatic testing. Enjoy lineage and alerts powered with data quality information. -
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Inbucket
Disposable webmail server (similar to Mailinator) with built in SMTP
Inbucket is an email testing application; it will accept messages from any email address and make them available to view via a web interface. When you need to test your webapp's outbound emails with Mailinator but are stuck behind a firewall, Inbucket provides the solution. It allows you to keep your new application development secret until it's time to release it. Inbucket is ideal for validating that emails go out as part of your integration test suite, sending links to coworkers to... -
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Gretel Synthetics
Synthetic data generators for structured and unstructured text
Unlock unlimited possibilities with synthetic data. Share, create, and augment data with cutting-edge generative AI. Generate unlimited data in minutes with synthetic data delivered as-a-service. Synthesize data that are as good or better than your original dataset, and maintain relationships and statistical insights. Customize privacy settings so that data is always safe while remaining useful for downstream workflows. Ensure data accuracy and privacy confidently with expert-grade reports.... -
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Stremio
Stremio - Freedom to Stream
...It consumes stremio-core (compiled to WebAssembly) and renders the product surfaces you recognize: Board for personalized updates, Discover for browsing catalogs, and Meta Details for titles, seasons, and streams. The app is built with JavaScript/TypeScript and a conventional web toolchain, offering simple commands for local development, testing, and production builds. It manages add-on installation and configuration in-app, letting users combine official and community sources without leaving the UI. Playback hooks into the stream types exposed by add-ons and the core’s selection logic, with UI affordances for choosing sources, subtitles, and quality. Because the heavy business logic lives in the core, the web app stays focused on UX, routing, accessibility, localization, and smooth state transitions between pages. -
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Cookiecutter Data Science
Project structure for doing and sharing data science work
...When we think about data analysis, we often think just about the resulting reports, insights, or visualizations. While these end products are generally the main event, it's easy to focus on making the products look nice and ignore the quality of the code that generates them. Because these end products are created programmatically, code quality is still important! And we're not talking about bikeshedding the indentation aesthetics or pedantic formatting standards, ultimately, data science code quality is about correctness and reproducibility. It's no secret that good analyses are often the result of very scattershot and serendipitous explorations. ...