Search Results for "process" - Page 13
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Showing 1304 open source projects for "process"
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$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Google Cloud Platform Python Samples
Code samples used on cloud.google
Google Cloud Platform Python Samples repository is a large, curated collection of Python code examples that demonstrate how to use a wide range of Google Cloud services in real-world scenarios. It serves as a practical companion to official documentation, providing runnable snippets that illustrate how to authenticate, configure environments, and interact with APIs across products such as storage, AI services, and data processing tools. The repository is organized into product-specific... -
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zpdf
Zero-copy PDF text extraction library written in Zig
...It leans heavily on memory-mapped file reading and zero-copy patterns where possible, so it can scan large PDFs without repeatedly copying data around in memory. The library supports streaming extraction using efficient arena allocation, making it well suited for workloads that need to process big documents quickly or in batches. It implements multiple PDF decompression filters and handles common font encoding pathways, which are essential for turning raw PDF content streams into readable text. It also understands both classic cross-reference tables and newer cross-reference streams, including PDF 1.5+ features, and it offers configurable strict vs permissive error handling depending on whether you prioritize correctness or robustness. -
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Node.js Testing Best Practices
Beyond the basics of Node.js testing
...It covers API testing, contract testing, and persistence-layer strategies that avoid coupling tests to fragile implementation details. The material explains how to structure tests around process boundaries—HTTP, queues, cron jobs—while keeping fast feedback cycles through selective integration tests and reliable test doubles. It dives into topics like test containers, ephemeral databases, and idempotent fixtures to ensure deterministic runs in CI. Observability is treated as part of testing: logs, metrics, and tracing make failures diagnosable instead of mysterious. ... -
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future
R package: future: Unified Parallel and Distributed Processing in R
The future package in R provides a unified abstraction for asynchronous and/or parallel computation. It allows R expressions to be scheduled for future evaluation, with the result retrieved later, in a way decoupled from the specific backend used. This lets code be written in a way that works with sequential execution, multicore, multisession, cluster, or remote compute backends, without changing the high-level code. It handles automatic exporting of needed global variables/functions,... -
Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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TraceRoot
Find the Root Cause in Your Code's Trace
TraceRoot.AI is an open source, AI-native observability and debugging platform designed to help engineering teams resolve production issues faster. It consolidates telemetry into a single correlated execution tree that provides causal context for failures. AI agents operate over this structured view to summarize issues, pinpoint likely root causes, and even suggest actionable fixes or draft GitHub issues and pull requests. It offers interactive trace exploration with zoomable log clusters,... -
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React Native Template Obytes
A template for your next React Native project
A template for your next React Native project, Made with developer experience and performance first: Expo, TypeScript, TailwindCSS, Husky, Lint-Staged, expo-router, react-query, react-hook-form, I18n. Our goal with this starter kit was to streamline the process of building React Native apps, both for our own team and for our clients. We wanted to create a resource that would allow us to create high-quality apps faster and with less effort, while ensuring that all of our projects adhere to the same code standards and architectural principles. The benefits of using this starter kit are numerous. ... -
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Siddhi Core Libraries
Stream Processing and Complex Event Processing Engine
Fully open source, cloud-native, scalable, micro streaming, and complex event processing system capable of building event-driven applications for use cases such as real-time analytics, data integration, notification management, and adaptive decision-making. Event processing logic can be written using Streaming SQL queries via graphical and source editors, to capture events from diverse data sources, process and analyze them, integrate with multiple services and data stores, and publish output to various endpoints in real time. Agile development experience with SQL-like query language and graphical drag-and-drop editor supporting event simulation. Lightweight runtime that can natively run on Kubernetes, Docker, VM, or bare metal, and embedded in any Java or Python application. ... -
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flagger
Progressive delivery Kubernetes operator (Canary, A/B Testing)
Flagger is a progressive delivery tool that automates the release process for applications running on Kubernetes. It reduces the risk of introducing a new software version in production by gradually shifting traffic to the new version while measuring metrics and running conformance tests. Flagger implements several deployment strategies (Canary releases, A/B testing, Blue/Green mirroring) using a service mesh (App Mesh, Istio, Linkerd, Kuma, Open Service Mesh) or an ingress controller (Contour, Gloo, NGINX, Skipper, Traefik, APISIX) for traffic routing. ... -
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Laravel Auth
Laravel with user authentication, registration with email confirmation
...Laracasts offers thousands of video tutorials on Laravel, PHP, and JavaScript development. Check them out, see for yourself, and massively level up your development skills in the process. -
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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GraphQL Kotlin
Libraries for running GraphQL in Kotlin
...As your schema scales to hundreds of types and many different resolvers, it can get more difficult to track what code needs to be changed if you want to add a new field, deprecate or delete an existing one, or fix a bug in the resolver code. graphql-kotlin-schema-generator aims to simplify this process by using Kotlin reflection to generate the schema for you. All you need to do is write your schema code in a Kotlin class. -
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GraphQL Manifold
Manifold is a Java compiler plugin, features include Metaprogramming
...Use the framework to gain direct, type-safe access to any type of resource, such as GraphQL, JSON, XML, YAML, CSV, and even other languages such as JavaScript. Remove the code gen step in your build process. Use types defined in .graphql files directly, no code gen steps! Make GraphQL changes and immediately use them with code completion. -
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Miniredis
Pure Go Redis server for Go unittests
...It enables a simple, cheap, in-memory, Redis replacement, with a real TCP interface. It saves you from using mock code, and since the redis server lives in the test process you can query for values directly, without going through the server stack. There are no dependencies on external binaries, so you can easily integrate it in automated build processes. Since miniredis is intended to be used in unittests TTLs don't decrease automatically. You can use TTL() to get the TTL (as a time.Duration) of a key. ... -
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Watermill
Building event-driven applications the easy way in Go
...Our goal was to create a tool that is easy to understand, even by junior developers. It doesn't matter if you want to do Event-driven architecture, CQRS, Event Sourcing or just stream MySQL Binlog to Kafka. Watermill was designed to process hundreds of thousands of messages per second. Every component is built in a way that allows you to configure it for your needs. You can also implement your own middleware for the router. Watermill is using proven technologies and has a strong unit and integration tests coverage for critical areas. Watermill is a Go library for working efficiently with message streams. ... -
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GoReleaser
Deliver Go binaries as fast and easily as possible
...GoReleaser was created to solve a problem we all had at some point: releasing software is boring and error prone. Generally speaking, those scripts tend to not be reusable and have dependencies on many other tools - which makes it hard to run the process on other machines. GoReleaser aims to make all these scripts obsolete: instead of writing scripts, you write a simple YAML configuration file; instead of many tools, you (usually) only need a single goreleaser binary. -
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Conventional Changelog
Generate changelogs and release notes from a project's commit messages
...It's recommended you use the high-level standard-version library, which is a drop-in replacement for npm's version command, handling automated version bumping, tagging, and CHANGELOG generation. Alternatively, if you'd like to move towards completely automating your release process as an output from CI/CD, consider using semantic-release. We specifically limit our support to LTS versions of Node, not because this package won't work on other versions, but because we have a limited amount of time, and supporting LTS offers the greatest return on that investment. It's possible this package will work correctly on newer versions of Node. ... -
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Cobbler
Cobbler is a versatile Linux deployment server
...Automation is the key to speed, consistency and repeatability. These properties are critical to managing infrastructure, whether it is comprised of a few servers or a few thousand servers. Cobbler helps by automating the process of provisioning servers from bare metal, or when deploying virtual machines onto various hypervisors. Just as configuration management systems rely on templates to simplify updates, so too does Cobbler. -
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AWS CodeBuild curated Docker images
AWS CodeBuild repository for managed Docker images
...A build environment represents a combination of operating system, programming language runtime, and tools that CodeBuild uses to run a build. The master branch will sometimes have changes that are still in the process of being released in AWS CodeBuild. When you provide information to CodeBuild about the build environment, you specify the identifier of a Docker image in a supported repository type. These include the CodeBuild Docker image repository, publicly available images in Docker Hub, and Amazon Elastic Container Registry (Amazon ECR) repositories that your AWS account has permission to access. ... -
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Agola
Agola CI/CD Redefined
...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). Support any language, deployment system etc. (just use the right image). -
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dockerize
Utility to simplify running applications in docker containers
...It allows you to generate application configuration files at container startup time from templates and container environment variables. generate application configuration files at container startup time from templates and container environment variables. Wait for other services to be available using TCP, HTTP(S), unix before starting the main process. The typical use case for dockerize is when you have an application that has one or more configuration files and you would like to control some of the values using environment variables. Another use case is when the application logs to specific files on the filesystem and not stdout or stderr. This makes it difficult to troubleshoot the container using the docker logs command. -
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Face Alignment
2D and 3D Face alignment library build using pytorch
Detect facial landmarks from Python using the world's most accurate face alignment network, capable of detecting points in both 2D and 3D coordinates. Build using FAN's state-of-the-art deep learning-based face alignment method. For numerical evaluations, it is highly recommended to use the lua version which uses identical models with the ones evaluated in the paper. More models will be added soon. By default, the package will use the SFD face detector. However, the users can alternatively... -
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GoCD
Main repository for GoCD, continuous delivery server
GoCD’s value stream map shows your entire path to production in a single view. Easily navigate across jobs, spot inefficiencies, and optimize your process. No plugin required, out of box CD. GoCD streamlines your CD workflow on popular cloud environments such as Kubernetes, Docker, AWS and more. GoCD excels at modeling complex CD workflows for fast feedback with its modeling constructs, parallel execution and dependency management. No plugin required, out of box CD. GoCD helps you troubleshoot a broken pipeline by tracking every change from commit to deploy in real time. ... -
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Kubernetes Handbook
Cloud native application architecture practice handbook
Cloud native is a behavioral method and design concept. In its essence, all behaviors or methods that can improve resource utilization and application delivery efficiency on the cloud are cloud-native. The history of cloud computing is a history of cloud native. Kubernetes opened the prelude to cloud native 1.0. The emergence of service mesh Istio led to microservices in the post-Kubernetes era. The rise of serverless has enabled cloud native to advance from the infrastructure layer to the... -
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Workerman
An asynchronous event driven PHP socket framework
Workerman is an open source high-performance asynchronous PHP socket framework . Supports high concurrency, ultra-high stability, and is widely used in mobile apps, mobile communications, WeChat applets, mobile game servers, online games, PHP chat rooms, hardware communications, smart homes, Internet of Vehicles, Internet of Things and other fields Development. Support TCP long connection, support Websocket, HTTP and other protocols, support custom protocol. It has many high-performance... -
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Bull
Queue package for handling distributed jobs and messages in NodeJS
The fastest, most reliable, Redis-based queue for Node. Carefully written for rock solid stability and atomicity. If you want to start using the next major version of Bull written entirely in Typescript you are welcome to the new repo here. Otherwise you are very welcome to still use Bull, which is a safe, battle tested codebase. If you need high quality production Redis instances for your Bull projects, please consider subscribing to RedisGreen, leaders in Redis hosting that works perfectly... -
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MobX
A Simple, scalable state management
...Write minimalistic, boilerplate free code that captures your intent. Trying to update a record field? Use the good old JavaScript assignment. Updating data in an asynchronous process? No special tools are required, the reactivity system will detect all your changes and propagate them out to where they are being used. All changes to and uses of your data are tracked at runtime, building a dependency tree that captures all relations between state and output. This guarantees that computations depending on your state, like React components, run only when strictly needed. ...
