Search Results for "bazel"
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Showing 19 open source projects for "bazel"
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Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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Bazel
Fast, scalable, multi-language and extensible build system
Build and test software of any size, quickly and reliably. Bazel only rebuilds what is necessary. With advanced local and distributed caching, optimized dependency analysis and parallel execution, you get fast and incremental builds. Build and test Java, C++, Android, iOS, Go and a wide variety of other language platforms. Bazel runs on Windows, macOS, and Linux. Bazel helps you scale your organization, codebase and Continuous Integration system. -
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Buildtools for bazel
A bazel BUILD file formatter and editor
This repository contains developer tools for working with Google's bazel buildtool. buildifier For formatting BUILD, BUILD.bazel and BUCK files in a standard way. buildozer For doing command-line operations on these files. unused_deps For finding unneeded dependencies in java_library rules. See instructions in each tool's directory. Buildifier supports the following file types: BUILD, WORKSPACE, .bzl, and default, the latter is reserved for Starlark files buildifier doesn't know about (e.g. configuration files for third-party projects that use Starlark). ... -
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Bazel Container Image Rules
Rules for building and handling Docker images with Bazel
This repository contains a set of rules for pulling down base images, augmenting them with build artifacts and assets, and publishing those images. These rules do not require / use Docker for pulling, building, or pushing images. These rules used to be docker_build, docker_push, etc. and the aliases for these (mostly) legacy names still exist largely for backwards-compatibility. We also have early-stage oci_image, oci_push, etc. aliases for folks that enjoy the consistency of a consistent... -
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ZML
Any model. Any hardware. Zero compromise
ZML is a high-performance machine learning inference stack designed to run AI models efficiently across heterogeneous hardware environments using a modern systems programming approach. Built with technologies such as Zig, MLIR, and Bazel, it focuses on production-grade deployment where performance, portability, and scalability are critical. The system allows models to be compiled and executed across multiple types of accelerators, including GPUs and TPUs, even when distributed across different machines or locations. One of its key strengths is cross-compilation, enabling developers to build once and deploy across various platforms without rewriting code. zml provides example implementations of models and workflows, demonstrating how to run inference tasks such as image classification or large language models. ... -
Application Monitoring That Won't Slow Your App DownFull APM with errors, performance, logs, and uptime monitoring. 99.999% uptime SLA on the platform itself.
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Starlark in Go
Starlark in Go: the Starlark configuration language, implemented in Go
starlark-go is the official Go implementation of the Starlark programming language, a Python-like, dynamically typed configuration and scripting language originally developed for the Bazel build system. Starlark combines Python’s expressiveness and readability with deterministic execution, making it ideal for defining build configurations, scripting automation, and embedding domain-specific logic in applications. The Go-based interpreter allows developers to run or embed Starlark programs directly within Go applications, extending them with user-defined scripts and configurable logic. ... -
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S2 Geometry
Computational geometry and spatial indexing on the sphere
...Unlike traditional 2D geometry libraries, S2 ensures accuracy over large scales by modeling the globe directly, avoiding distortions caused by map projections. The project includes core C++ support, optional Python bindings, and integrations with Bazel and CMake for flexible builds. It relies on Abseil, OpenSSL, and googletest, and is tested across major platforms. -
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Double Conversion
Efficient binary-decimal & decimal-binary conversion routines for IEEE
...The codebase includes detailed documentation and comprehensive unit tests to validate correctness across various platforms. With flexible build options using SCons, CMake, or Bazel, Double Conversion integrates seamlessly into modern C++ development workflows. -
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Copybara
Copybara: A tool for transforming and moving code between repositories
Copybara is an open source code transformation and migration tool developed by Google for synchronizing and managing source code across multiple repositories. It allows developers to transform, filter, and move code between repositories while maintaining a consistent source of truth. Copybara is particularly useful in workflows where projects maintain both confidential (internal) and public (open source) repositories, enabling controlled synchronization and contribution management between... -
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GoogleSQL
GoogleSQL (formerly ZetaSQL) - Analyzer Framework for SQL
GoogleSQL is a reusable SQL language framework designed to standardize how SQL is written and analyzed across different systems. Previously called ZetaSQL, it defines core elements such as syntax, data models, type systems, and query semantics. Rather than executing queries, GoogleSQL focuses on parsing and validating SQL statements. It ensures consistent behavior for tasks like name resolution, type validation, and automatic casting. Different query engines can adopt the language while... -
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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gVisor
Application Kernel for Containers
gVisor is an application kernel developed by Google that provides a strong layer of isolation between applications and the host operating system. Written in Go, it implements a Linux-compatible system call interface that runs entirely in user space, creating a secure sandboxed environment for containers. Unlike traditional virtual machines or lightweight syscall filters, gVisor follows a third approach that offers many of the security benefits of virtualization while maintaining the speed,... -
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Google Logging Library
C++ implementation of the Google logging module
...The library provides logging APIs based on C++-style streams and various helper macros. glog supports multiple build systems for compiling the project from source, Bazel, CMake, and vcpkg. glog also supports CMake that can be used to build the project on a wide range of platforms. If you don’t have CMake installed already, you can download it for from CMake’s official website. CMake works by generating native makefiles or build projects that can be used in the compiler environment of your choice. ... -
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Vim Codefmt
Vim plugin for syntax-aware code formatting
...Autoformat can be enabled via standard Vim autocommands, making it easy to format on filetype or on write while still allowing opt-out on a per-buffer basis. With broad language coverage—from C, C++, Java, Python, and Go to Kotlin, Rust, Swift, Bazel, Markdown, and more—vim-codefmt helps teams maintain consistent style across heterogeneous codebases. -
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Amazonka
A comprehensive Amazon Web Services SDK for Haskell
An Amazon Web Services SDK for Haskell with support for most public services. Parts of the code contained in this repository are auto-generated and automatically kept up to date with Amazon's latest service APIs. You can find the latest Haddock documentation for each respective library on the Amazonka website. A release changelog can be found in lib/amazonka/CHANGELOG.md. The AWS service descriptions are licensed under Apache 2.0. Source files derived from the service descriptions contain an... -
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DeepMind Lab
A customizable 3D platform for agent-based AI research
...If you use DeepMind Lab in your research and would like to cite the DeepMind Lab environment, we suggest you cite the DeepMind Lab paper. To enable compiler optimizations, pass the flag --compilation_mode=opt, or -c opt for short, to each bazel build, bazel test and bazel run command. The flag is omitted from the examples here for brevity, but it should be used for real training and evaluation where performance matters. DeepMind Lab ships with an example random agent in python/random_agent.py which can be used as a starting point for implementing a learning agent. -
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Muduo
Event-driven network library for multi-threaded Linux server in C++11
Muduo is a multithreaded C++ network library based on the reactor pattern. Use of this source code is governed by a BSD-style license that can be found in the License file. Requires Linux kernel version equal or above 2.6.28. Tested on Debian 7 and above, Unbuntu 14.04 and above, and CentOS 7 and above. Install required packages Debian, Ubuntu, etc. See .travis.yml for additional packages for building more examples. -
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TF Quant Finance
High-performance TensorFlow library for quantitative finance
...Users can value options and fixed-income instruments, simulate paths, fit curves, and calibrate models while leveraging TensorFlow’s jit compilation and automatic differentiation. The codebase is organized as modular math and finance primitives so you can combine building blocks or target end-to-end examples. It includes Bazel builds, tests, and example notebooks to accelerate learning and adoption in real workflows. With hardware acceleration and differentiable models, it enables modern techniques like gradient-based calibration and end-to-end learning of market dynamics. -
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Semantic
Parsing, analyzing, and comparing source code across many languages
semantic is a Haskell library and command line tool for parsing, analyzing, and comparing source code. Run semantic --help for complete list of up-to-date options. Semantic uses tree-sitter to generate parse trees, but layers in a more generalized notion of syntax terms across all supported programming languages. We'll see why this is important when we get to diffs and program analysis, but for now let's just inspect some output. It helps to have a simple program to parse. Symbols are named... -
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Skylark
Skylark in Go: the Skylark configuration language
...The interpreter supports first-class functions, dictionaries, lists, and comprehensions, allowing developers to define reusable logic and structured configuration data. Originally developed for Bazel, Google’s build tool, Skylark enables users to define build rules and macros that extend system functionality. Because it runs deterministically and isolates execution from system state, it’s well-suited for reproducible build systems and other sandboxed environments. The Go implementation focuses on parallel scalability and easy integration into Go-based projects. -
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kcws
Deep Learning Chinese Word Segment
Deep learning chinese word segment. Install the bazel code construction tool and install tensorflow (currently this project requires tf 1.0.0alpha version or above) Switch to the code directory of this project and run ./configure. Compile background service. Pay attention to the public account of waiting for words and reply to kcws to get the corpus download address. Extract the corpus to a directory.
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