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Back to alexeagle/angular-bazel-example

Open-source alternatives to Angular Bazel Example

21 open-source projects similar to alexeagle/angular-bazel-example, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Angular Bazel Example alternative.

  • gdquest-demos/godot-open-rpgAvatar de gdquest-demos

    gdquest-demos/godot-open-rpg

    2,589Ver en GitHub↗

    This project is a reference implementation and starter template for developing role-playing games in Godot. It provides a structured architecture for large-scale game development, featuring a pre-implemented framework for core RPG systems. The project distinguishes itself through a focus on code standardization and developer experience. It implements static type hinting and a standardized code layout to ensure consistency, alongside a docstring documentation system that extracts metadata from source code to generate reference guides and editor tooltips. The repository covers several core gam

    GDScriptcombatgamegame-development
    Ver en GitHub↗2,589
  • bazelment/trunkB

    bazelment/trunk

    0Ver en GitHub↗

    A collection of C++/Java opensource projects with BUILD files so they can be easily built with bazel.

    Ver en GitHub↗0
  • ekhabarov/bazel-k8s-envoyE

    ekhabarov/bazel-k8s-envoy

    0Ver en GitHub↗

    Blog post with detailed explanation.

    Ver en GitHub↗0
  • google/startup-osAvatar de google

    google/startup-os

    692Ver en GitHub↗

    Working examples of Google's Open Source stack and deployment to the cloud.

    Java
    Ver en GitHub↗692
  • google/subparG

    google/subpar

    0Ver en GitHub↗

    Subpar is a utility for creating self-contained python executables. It is designed to work well with Bazel.

    Ver en GitHub↗0

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  • googlecloudplatform/distrolessAvatar de GoogleCloudPlatform

    GoogleCloudPlatform/distroless

    22,774Ver en GitHub↗

    Distroless provides a set of OCI-compliant minimal base images and hardening tools designed to create secure, language-specific execution environments. These images are stripped of non-essential system binaries, shells, and package managers to reduce the container attack surface. The project utilizes upstream-tracked automated patching to monitor operating system releases and generate updated images when security vulnerabilities are addressed. It ensures supply chain integrity through image provenance verification using ephemeral-key digital signatures. The system supports the generation of

    Starlark
    Ver en GitHub↗22,774
  • kastiglione/bazel-xcode-demo-swift-driverAvatar de kastiglione

    kastiglione/bazel-xcode-demo-swift-driver

    56Ver en GitHub↗

    This is a demo of Bazel and Xcode integration. This isn't an actual fork of apple/swift-driver.

    Swift
    Ver en GitHub↗56
  • kriscfoster/multi-language-bazel-monorepoAvatar de kriscfoster

    kriscfoster/multi-language-bazel-monorepo

    121Ver en GitHub↗

    I wanted to try to set up a multi-language monorepo using bazel for experimentation purposes. You can follow the journey on YouTube.

    Starlark
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  • langchain-ai/langchainAvatar de langchain-ai

    langchain-ai/langchain

    139,458Ver en GitHub↗

    LangChain is an orchestration framework designed for building, managing, and deploying applications powered by large language models. It provides a unified integration layer that normalizes disparate model provider APIs into a consistent set of primitives, enabling developers to build complex, multi-step AI workflows that manage state, memory, and tool execution. The project distinguishes itself through a durable execution runtime that maintains persistent state across long-running processes by checkpointing progress to external storage. It models agent workflows as directed graphs, allowing

    Pythonagentsaiai-agents
    Ver en GitHub↗139,458
  • langchain-ai/langgraphAvatar de langchain-ai

    langchain-ai/langgraph

    34,925Ver en GitHub↗

    LangGraph is a framework for building stateful, multi-step agentic workflows by modeling application logic as a directed graph. It provides a runtime environment where complex tasks are orchestrated through interconnected nodes and edges, allowing developers to manage state transitions, persistent memory, and control flow across long-running automated processes. The platform distinguishes itself through its native support for human-in-the-loop automation, enabling developers to define breakpoints that pause execution for manual review, modification, or approval. It also features checkpoint-ba

    Pythonagentsaiai-agents
    Ver en GitHub↗34,925
  • lucperkins/colossusAvatar de lucperkins

    lucperkins/colossus

    1,041Ver en GitHub↗

    Colossus — An example microservice architecture for Kubernetes using Bazel, Go, Java, Docker, Kubernetes, Minikube, Gazelle, gRPC, Prometheus, Grafana, and more

    Starlarkbazeldockergo
    Ver en GitHub↗1,041
  • nickdecooman/bazel-rust-docker-exampleAvatar de nickdecooman

    nickdecooman/bazel-rust-docker-example

    13Ver en GitHub↗

    This project is intended to demonstrate a Bazel setup for Rust services with Docker support.

    Starlark
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  • requests/requestsAvatar de requests

    requests/requests

    54,070Ver en GitHub↗

    Requests is a Python HTTP client library used for sending HTTP requests and handling responses. It serves as a network client providing fundamental components for session management, proxy routing, multi-part uploading, and SSL/TLS certificate verification. The project distinguishes itself through a session manager that maintains cookies and reuses TCP connections to improve network performance. It also includes a dedicated multi-part form uploader for transmitting binary data and an integrated SSL/TLS certificate verifier to ensure encrypted and trusted communication. The library covers a b

    Python
    Ver en GitHub↗54,070
  • rodydavis/lit-3d-pianoR

    rodydavis/lit-3d-piano

    0Ver en GitHub↗

    3D Piano built with Lit, Three.js and Tone.js

    Ver en GitHub↗0
  • rodydavis/lit-nativeAvatar de rodydavis

    rodydavis/lit-native

    41Ver en GitHub↗

    Reuse lit web components on native platforms.

    Swift
    Ver en GitHub↗41
  • rodydavis/lit-node-editorR

    rodydavis/lit-node-editor

    0Ver en GitHub↗

    Node editor built with canvas api, simple graph data structure and included transforms for scale, pan and move.

    Ver en GitHub↗0
  • rodydavis/vite-rxdb-litR

    rodydavis/vite-rxdb-lit

    0Ver en GitHub↗

    Minimal example to get RxDB running with vite.

    Ver en GitHub↗0
  • squzy/squzyAvatar de squzy

    squzy/squzy

    480Ver en GitHub↗

    Join our Slack

    Go
    Ver en GitHub↗480
  • streamlit/llm-examplesAvatar de streamlit

    streamlit/llm-examples

    907Ver en GitHub↗
    Python
    Ver en GitHub↗907
  • abseil/abseil-cppAvatar de abseil

    abseil/abseil-cpp

    17,334Ver en GitHub↗

    Abseil is a common utility library for C++ that provides foundational building blocks for applications. It serves as a collection of optimized utility functions and data structures that augment the C++ standard library across different compiler versions. The library is distinguished by its high-performance containers, including SIMD-accelerated hash maps and sets for efficient key-value lookups. It also provides a comprehensive framework for computing absolute time points, durations, and timestamps across global time zones. The project covers a broad range of capability areas, including conc

    C++
    Ver en GitHub↗17,334
  • tensorflow/tensorflowAvatar de tensorflow

    tensorflow/tensorflow

    195,697Ver en GitHub↗

    TensorFlow is a comprehensive machine learning framework designed for the construction, training, and deployment of complex mathematical models. It utilizes a graph-based execution model that represents operations as directed acyclic graphs, enabling automatic differentiation and efficient parallel processing. The system provides high-level interfaces for defining neural network architectures, alongside a robust engine for managing multidimensional array structures and tensor mathematics. The framework distinguishes itself through a scalable distributed runtime that orchestrates workloads acr

    C++deep-learningdeep-neural-networksdistributed
    Ver en GitHub↗195,697