Search Results for "pipeline"
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Showing 226 open source projects for "pipeline"
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1
Pipeline Model Definition Plugin
Dfine CI/CD workflows using Jenkinsfile
The Pipeline Model Definition Plugin introduces Declarative Pipelines in Jenkins—offering a more structured, configuration-like syntax for defining CI/CD workflows using Jenkinsfile. It simplifies pipeline creation, gives clearer semantic error messages, supports post-build steps, and is fully extensible via APIs. -
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Union Pandera
Light-weight, flexible, expressive statistical data testing library
...Integrate seamlessly with the Python ecosystem. Overcome the initial hurdle of defining a schema by inferring one from clean data, then refine it over time. Identify the critical points in your data pipeline, and validate data going in and out of them. Build confidence in the quality of your data by defining schemas for complex data objects. -
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DualPipe
A bidirectional pipeline parallelism algorithm
DualPipe is a bidirectional pipeline parallelism algorithm open-sourced by DeepSeek, introduced in their DeepSeek-V3 technical framework. The main goal of DualPipe is to maximize overlap between computation and communication phases during distributed training, thus reducing idle GPU time (i.e. “pipeline bubbles”) and improving cluster efficiency. Traditional pipeline parallelism methods (e.g. 1F1B or staggered pipelining) leave gaps because forward and backward phases can’t fully overlap with communication. ... -
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PortableGL
An implementation of OpenGL 3.x-ish in clean C
PortableGL is a single-header, software-only implementation of a subset of OpenGL (specifically the GL 2.1 pipeline), designed to run entirely on the CPU. This lightweight graphics library allows OpenGL-style rendering without GPU acceleration, making it ideal for educational use, debugging, embedded systems, and retro-style software rendering. Because it mirrors OpenGL syntax and design, it can act as a drop-in CPU renderer for testing or deploying 3D graphics on platforms without GPU support. -
The AI-powered unified PSA-RMM platform for modern MSPs.SuperOps.ai is the only PSA-RMM platform powered by intelligent automation and thoughtfully crafted for the new-age MSP. The platform also helps MSPs manage their projects, clients, and IT documents from a single place.
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5
GitVersion
From git log to SemVer in no time
...Gitversion is highly configurable and can be made to support your specific versioning scheme, almost regardless of what it may be. Expose version variables in different formats to the tools you use. Use GitVersion locally or in a build pipeline with TeamCity, AppVeyor, Jenkins or any of the other supported build servers. GitVersion is a tool that generates a Semantic Version number based on your Git history. The version number generated from GitVersion can then be used for various different purposes. GitVersion can be used in a Continuous Server pipeline to generate a version number that both labels the build itself and makes the different version variables available to the rest of the build pipeline. -
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The Tengo Language
A fast script language for Go
...Securely Embeddable and Extensible. Compiler/runtime written in native Go (no external deps or cgo). Executable as a standalone language / REPL. Use cases, rules engine, state machine, data pipeline, transpiler. If you need to evaluate a simple expression, you can use Eval function instead. -
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Insomnia API Client
The open-source, cross-platform API client for GraphQL
...Catch issues earlier, centralize standards, and adopt an API workflow that works with your existing tools. Automate manual API tests and integrate with your CI/CD process to build out an API testing pipeline using Insomnia Unit Tests and Inso, the Insomnia CLI. Connect directly to Git providers to always be in sync with design changes and enable a GitOps pipeline with Inso, the Insomnia CLI tool. -
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Drone
Drone is a Container-Native, Continuous Delivery Platform
...Drone works with any language, database, or service that runs inside a Docker container. Choose from thousands of public Docker images or provide your own. Drone uses containers to drop pre‑configured steps into your pipeline. Choose from hundreds of existing plugins, or create your own. Drone makes advanced customization easy. Implement custom access controls, approval workflows, secret management, yaml syntax extensions, and more. -
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Concourse
Concourse is a container-based continuous thing-doer written in Go
Built on the simple mechanics of resources, tasks, and jobs, Concourse presents a general approach to automation that makes it great for CI/CD. Concourse is designed to be expressive, versatile, and safe, remaining intuitive as the complexity of your project grows. A Concourse pipeline is like a distributed, continuous Makefile. Each job has a build plan declaring the job's input resources and what to run with them when they change. Your pipeline is then visualized in the web UI, taking only one click to get from a failed job to seeing why it failed. The visualization provides a "gut check" feedback loop: if it looks wrong, it probably is wrong. ... -
Securden Privileged Account ManagerDiscover and manage administrator, service, and web app passwords, keys, and identities. Automate management with approval workflows. Centrally control, audit, monitor, and record all access to critical IT assets.
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Benthos
Fancy stream processing made operationally mundane
Benthos is a high performance and resilient stream processor, able to connect various sources and sinks in a range of brokering patterns and perform hydration, enrichments, transformations and filters on payloads. It comes with a powerful mapping language, is easy to deploy and monitor, and ready to drop into your pipeline either as a static binary, docker image, or serverless function, making it cloud native as heck. Delivery guarantees can be a dodgy subject. Benthos processes and acknowledges messages using an in-process transaction model with no need for any disk persisted state, so when connecting to at-least-once sources and sinks it's able to guarantee at-least-once delivery even in the event of crashes, disk corruption, or other unexpected server faults. ... -
11
Best-of Python
A ranked list of awesome Python open-source libraries
...Libraries for loading, collecting, and extracting data from a variety of data sources and formats. Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks. -
12
Harness
Harness Open Source is an end-to-end developer platform
Harness is a CI/CD platform (available as SaaS/On-prem) that automates build, test, and deployment workflows. It offers pipeline-as-code YAML definitions, AI-optimized builds, policy-driven governance, multi-environment deployment templates (canary, blue/green), and integrated security scanning. -
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JenkinsPipelineUnit
Framework for unit testing Jenkins pipelines
This testing framework lets you write unit tests on the configuration and conditional logic of the pipeline code, by providing a mock execution of the pipeline. You can mock built-in Jenkins commands, job configurations, see the stacktrace of the whole execution and even track regressions. -
14
Electron Forge
A complete tool for building and publishing Electron applications
...Electron Forge unifies the existing (and well-maintained) build tools for Electron development into a simple, easy-to-use package so that anyone can jump right into Electron development. Electron Forge is an all-in-one tool for packaging and distributing Electron applications. It combines many single-purpose packages to create a full build pipeline that works out of the box, complete with code signing, installers, and artifact publishing. For advanced workflows, custom build logic can be added in the Forge lifecycle through its Plugin API. Custom build and storage targets can be handled by creating your own makers and publishers. -
15
InkOS
Autonomous novel writing CLI AI Agent
...The system organizes multiple specialized agents that collaborate in stages, including drafting, reviewing, editing, and refining text, with optional human checkpoints to ensure quality and coherence. Its architecture reflects a pipeline approach where each agent contributes a specific function, allowing iterative improvement rather than single-pass generation. This design makes it particularly suited for complex storytelling tasks that require consistency, tone management, and structural planning across long outputs. The platform likely incorporates feedback loops where agents critique and revise each other’s work, simulating editorial processes found in traditional publishing. ... -
16
testkube
Kubernetes-native testing framework for test execution
Welcome to Testkube - Your friendly cloud-native testing framework for Kubernetes. Testkube natively integrates test orchestration and execution into Kubernetes and your CI/CD/GitOps pipeline. It decouples test artifacts and execution from CI/CD tooling; tests are meant to be part of your cluster's state and can be executed as needed. Out-of-the-box integrations with all popular testing tools and CI/CD systems mean no custom scripts are required to orchestrate your tests from any CI/CD/GitOps pipeline. The central dashboard and control plane let you configure, orchestrate & schedule your tests, share & analyze test results & artifacts, manage users & permissions, and more. ... -
17
Lab
Get up and running with Jenkins on Google Kubernetes Engine
The Lab repository is a hands-on tutorial and reference implementation that demonstrates how to build a complete continuous delivery pipeline using Kubernetes and Jenkins on Google Cloud. It walks developers through the process of automating software delivery by integrating source control, build systems, containerization, and deployment orchestration into a unified workflow. The project leverages Google Kubernetes Engine to manage containerized applications and uses Jenkins pipelines to define and execute build and deployment processes declaratively. ... -
18
Backstage
Backstage is an open platform for building developer portals
Powered by a centralized software catalog, Backstage restores order to your infrastructure and enables your product teams to ship high-quality code quickly, without compromising autonomy. At Spotify, we've always believed in the speed and ingenuity that comes from having autonomous development teams. But as we learned firsthand, the faster you grow, the more fragmented and complex your software ecosystem becomes. And then everything slows down again. By centralizing services and... -
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KiCad
This is an active mirror of the KiCad development branch
KiCad's PCB Editor is approachable enough to make your first PCB design easy, and powerful enough for complex modern designs. A powerful interactive router and improved visualization and selection tools make layout tasks easier than ever. This is an active mirror of the KiCad development branch, which is hosted at GitLab (updated every time something is pushed). -
20
TradingAgents
Chinese Financial Trading Framework Based on Multi-Agent LLM
...It organizes market-related tasks into roles and stages so different agents can contribute research, reasoning, aggregation, and decision support in a structured pipeline. The project is oriented toward practical usage, including a stack that can be run in a modern development environment and commonly paired with containerized backends, configuration files, and service components. It also pays attention to distribution and misuse risks, clearly warning users about unauthorized commercial repackaging and stating that commercial use requires explicit authorization while personal use is open. -
21
BDFramework
Simple and powerful Unity3d game workflow!
...Always be committed to creating an efficient commercial game workflow. Most of the functional development of BDFramework revolves around a whole workflow and is released in the form of Pipeline. It is also the same for the use of third-party libraries For in-depth customization of the Pipeline, a lot of Editor codes are often written for some user experience optimization. BDFramework doesn’t have any cool-looking functions. Persistence will lead to the emergence of this framework. For some special reasons, only the implementation of some game infrastructure solutions Pipeline will be released, and there will be no solution to specific business logic. program, so the whole set of workflow is more like a set of game development scaffolding. -
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libplacebo
Official mirror of libplacebo
libplacebo is a flexible, high-performance graphics library built on top of Vulkan, designed to provide reusable GPU-accelerated components for media applications. It originated as a core part of the rendering pipeline for the mpv media player and has since grown into a standalone library used for tone mapping, dithering, color space conversion, and more. libplacebo is ideal for developers looking to integrate sophisticated video rendering and post-processing into their own applications with full control over shaders and rendering stages. -
23
tRPC
End-to-end typesafe APIs made easy
...Introducing RPC! Automatic type safety & autocompletion are inferred from your API paths, their input data, & outputs. No code generation, run-time bloat, or build pipeline. Zero dependencies & a tiny client-side footprint. Easy to add to your existing brownfield project with adapters for Connect/Express/Next.js. Currently, GraphQL is the dominant way to implement typesafe APIs in TypeScript (and it's amazing!). -
24
IVY
The Unified Machine Learning Framework
Take any code that you'd like to include. For example, an existing TensorFlow model, and some useful functions from both PyTorch and NumPy libraries. Choose any framework for writing your higher-level pipeline, including data loading, distributed training, analytics, logging, visualization etc. Choose any backend framework which should be used under the hood, for running this entire pipeline. Choose the most appropriate device or combination of devices for your needs. DeepMind releases an awesome model on GitHub, written in JAX. We'll use PerceiverIO as an example. ... -
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RAG Anything
RAG-Anything: All-in-One RAG Framework
...Traditional RAG systems are typically limited to text and cannot effectively work across heterogeneous document layouts, but RAG-Anything addresses this by modeling multimodal content in ways that preserve cross-modal relationships and semantic context, often treating content elements as interconnected knowledge entities rather than separate data silos. The system uses a multi-stage pipeline (e.g., document parsing, content analysis, knowledge graph construction, intelligent retrieval) so queries can navigate across modalities with deeper understanding and relevance.
