Showing 863 open source projects for "google-visualization-python"

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  • 1
    Starter Applets

    Starter Applets

    Google AI Studio Starter Apps

    starter-applets is a collection of minimal, sandboxed example “applets” that demonstrate how to compose Gemini-powered microapps (chat widgets, image generation, workflows) that can be embedded in other applications or used standalone. The applets are structured with a focus on simplicity: each presents a prompt input, minimal UI logic, and inline display of the resulting output or widget (e.g. generated text, images). They are built to illustrate best practices (e.g. safety guards, prompt...
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  • 2
    Apache Drill

    Apache Drill

    Apache Drill is a distributed MPP query layer for self describing data

    ...Leverage your existing SQL skillsets and BI tools including Tableau, Qlikview, MicroStrategy, Spotfire, Excel and more. Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple datastores. For example, you can join a user profile collection in MongoDB with a directory of event logs in Hadoop.
    Downloads: 0 This Week
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  • 3
    Lexbor

    Lexbor

    Lexbor is development of an open source HTML Renderer library

    ...Lexbor’s code is optimized for ease of access in end-user applications and across programming languages. You can effortlessly wrap all the capabilities of the library in, say, Python to power your end-user or backend applications in a new environment. In other words, lexbor offers a feature-rich core that developers can build upon as they see fit.
    Downloads: 6 This Week
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  • 4
    zpdf

    zpdf

    Zero-copy PDF text extraction library written in Zig

    zpdf is a high-performance PDF text extraction library written in Zig that focuses on speed, low overhead, and modern parsing techniques. 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...
    Downloads: 0 This Week
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    Train ML Models With SQL You Already Know

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  • 5
    EKS Best Practices

    EKS Best Practices

    A best practices guide for day 2 operations

    The Amazon EKS Best Practices Guide is a public repository containing comprehensive documentation and guidance for operating production-grade Kubernetes clusters on AWS’s managed service, Amazon EKS. Rather than a code library, it serves as a reference catalogue of patterns, anti-patterns, checklists and architectures across domains such as security, reliability, scalability, networking, cost optimization and hybrid cloud deployments. The repository is maintained by AWS but open to...
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  • 6
    TensorStore

    TensorStore

    Library for reading and writing large multi-dimensional arrays

    ...The library is engineered for scalability—background caching, chunk sharding, and retryable operations keep throughput high even over unreliable networks. With language bindings, it fits into Python-heavy analysis pipelines while retaining a fast C++ core.
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  • 7
    Tunix

    Tunix

    A JAX-native LLM Post-Training Library

    Tunix is a JAX-native library for post-training large language models, bringing supervised fine-tuning, reinforcement learning–based alignment, and knowledge distillation into one coherent toolkit. It embraces JAX’s strengths—functional programming, jit compilation, and effortless multi-device execution—so experiments scale from a single GPU to pods of TPUs with minimal code changes. The library is organized around modular pipelines for data loading, rollout, optimization, and evaluation,...
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  • 8
    Flax

    Flax

    Flax is a neural network library for JAX

    Flax is a flexible neural-network library for JAX that embraces functional programming while offering ergonomic module abstractions. Its design separates pure computation from state by threading parameter collections and RNGs explicitly, enabling reproducibility, transformation, and easy experimentation with JAX transforms like jit, pmap, and vmap. Modules define parameterized computations, but initialization and application remain side-effect free, which pairs naturally with JAX’s staging...
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  • 9
    Multimodal

    Multimodal

    TorchMultimodal is a PyTorch library

    This project, also known as TorchMultimodal, is a PyTorch library for building, training, and experimenting with multimodal, multi-task models at scale. The library provides modular building blocks such as encoders, fusion modules, loss functions, and transformations that support combining modalities (vision, text, audio, etc.) in unified architectures. It includes a collection of ready model classes—like ALBEF, CLIP, BLIP-2, COCA, FLAVA, MDETR, and Omnivore—that serve as reference...
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  • 10
    DeepEP

    DeepEP

    DeepEP: an efficient expert-parallel communication library

    DeepEP is a communication library designed specifically to support Mixture-of-Experts (MoE) and expert parallelism (EP) deployments. Its core role is to implement high-throughput, low-latency all-to-all GPU communication kernels, which handle the dispatching of tokens to different experts (or shards) and then combining expert outputs back into the main data flow. Because MoE architectures require routing inputs to different experts, communication overhead can become a bottleneck — DeepEP...
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  • 11
    Graphtage

    Graphtage

    A semantic diff utility and library for tree-like files such as JSON

    Graphtage is a command-line utility and underlying library for semantically comparing and merging tree-like structures, such as JSON, XML, HTML, YAML, plist, and CSS files. Its name is a portmanteau of “graph” and “graftage”, the latter being the horticultural practice of joining two trees together such that they grow as one. Graphtage performs an analysis on an intermediate representation of the trees that is divorced from the filetypes of the input files. This means, for example, that you...
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  • 12
    spdlog

    spdlog

    Fast C++ logging library

    spdlog is a header only library. Just copy the files under include to your build tree and use a C++11 compiler. It provides a python like formatting API using the bundled fmt lib. spdlog takes the "include what you need" approach, your code should include the features that actually needed. For example, if you only need rotating logger, you need to include "spdlog/sinks/rotating_file_sink.h". spdlog provides various log targets, which are, rotating log files, daily log files, console logging (colors supported), syslog, Windows event log, and Windows debugger (OutputDebugString(..)). ...
    Downloads: 4 This Week
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  • 13
    jQuery Terminal

    jQuery Terminal

    JavaScript library for creating web-based terminals

    ...It can automatically call JSON-RPC service when the user types a command. Alternatively, you can provide an object with methods; each method will be invoked on the user's command (the python command can create python interpreter). An object can have nested objects which will create a nested interpreter (you can create an interactive menu of adventure games with this). You can also use a function in which you can parse user commands by yourself (you have full control of what users type into the terminal). It's ideal if you want to provide additional functionality for power users.
    Downloads: 1 This Week
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  • 14
    peepDB

    peepDB

    CLI tool and python library to inspect databases fast

    peepDB is an open-source command-line tool and Python library designed for developers and database administrators who need a fast and efficient way to inspect their database tables without writing SQL queries. With support for MySQL, PostgreSQL, and MariaDB, peepDB is lightweight, secure, and incredibly easy to use.
    Downloads: 2 This Week
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  • 15
    Top Deep Learning Projects

    Top Deep Learning Projects

    A list of popular github projects related to deep learning

    TopDeepLearning is a curated index of the most popular GitHub projects related to deep learning, ranked by their star count. Rather than being a library itself, it serves as a curated roadmap and reference guide for anyone exploring the deep learning ecosystem — from beginners to experienced practitioners. By aggregating high-star projects across frameworks (TensorFlow, PyTorch), tools (computer vision, NLP, reinforcement learning), tutorials, and research code, it helps users quickly...
    Downloads: 0 This Week
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  • 16
    Professional Programming

    Professional Programming

    A collection of learning resources for curious software engineers

    Professional Programming is a long-running, curated collection of learning resources aimed at helping software engineers grow into well-rounded professionals. It goes far beyond basic “learn to code” material and covers topics like system design, debugging, testing, performance, security, architecture, and software craftsmanship. The list is organized by themes such as coding, design, operations, communication, and career, making it easy to dive into specific aspects of engineering practice....
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  • 17
    fvcore

    fvcore

    Collection of common code shared among different research projects

    fvcore is a lightweight utility library that factors out common performance-minded components used across Facebook/Meta computer-vision codebases. It provides numerics and loss layers (e.g., focal loss, smooth-L1, IoU/GIoU) implemented for speed and clarity, along with initialization helpers and normalization layers for building PyTorch models. Its common modules include timers, logging, checkpoints, registry patterns, and configuration helpers that reduce boilerplate in research code. A...
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  • 18
    Valkey GLIDE

    Valkey GLIDE

    An open source Valkey client library that supports Valkey and Redis

    Valkey General Language Independent Driver for the Enterprise (GLIDE), is an open-source Valkey client library. Valkey GLIDE is one of the official client libraries for Valkey, and it supports all Valkey commands. Valkey GLIDE supports Valkey 7.2 and above, and Redis open-source 6.2, 7.0 and 7.2. Application programmers use Valkey GLIDE to safely and reliably connect their applications to Valkey- and Redis OSS- compatible services. Valkey GLIDE is designed for reliability, optimized...
    Downloads: 2 This Week
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  • 19
    CoreNet

    CoreNet

    CoreNet: A library for training deep neural networks

    CoreNet is Apple’s internal deep learning framework for distributed neural network training, designed for high scalability, low-latency communication, and strong hardware efficiency. It focuses on enabling large-scale model training across clusters of GPUs and accelerators by optimizing data flow and parallelism strategies. CoreNet provides abstractions for data, tensor, and pipeline parallelism, allowing models to scale without code duplication or heavy manual configuration. Its distributed...
    Downloads: 0 This Week
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  • 20
    nghttp2

    nghttp2

    HTTP/2 C Library and tools

    ...We offer HPACK encoder and decoder are available as public API. nghttp2 library itself is a bit low-level. The experimental high-level C++ API is also available. We have Python binding of this library, but we have not covered everything yet.
    Downloads: 2 This Week
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  • 21
    re2

    re2

    Alternative to backtracking regular expression engines

    RE2 is a fast, safe, thread-friendly alternative to backtracking regular expression engines like those used in PCRE, Perl, and Python. It is a C++ library. This is the source code repository for RE2, a regular expression library. There is a fair amount of documentation (including code snippets) in the re2.h header file. Unless otherwise noted, the RE2 source files are distributed under the BSD-style license found in the LICENSE file. In POSIX mode, RE2 accepts standard POSIX (egrep) syntax regular expressions. ...
    Downloads: 2 This Week
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  • 22
    BentoCache

    BentoCache

    Bentocache is a robust multi-tier caching library for Node.js app

    Bentocache is a flexible caching library for Python that supports multiple backends like memory, disk, and Redis. It offers decorators for easy function-level caching and is designed to be lightweight, extensible, and developer-friendly. Bentocache is well-suited for performance optimization in web apps, scripts, and data pipelines.
    Downloads: 0 This Week
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  • 23
    glbinding

    glbinding

    A C++ binding for the OpenGL API, generated using the gl.xml specifica

    ...It provides type-safe parameters, per-feature API headers, lazy function resolution, multi-context and multi-thread support, global and local function callbacks, meta information about the generated OpenGL binding and the OpenGL runtime, as well as tools and examples for quick-starting your projects. Based on the OpenGL API specification (gl.xml) glbinding is generated using Python scripts and templates that can be easily adapted to fit custom needs.
    Downloads: 1 This Week
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  • 24
    .files

    .files

    Dotfiles for macOS

    ...It automates workstation setup through an idempotent Makefile and organized configuration files. The environment relies heavily on Homebrew, Node.js, modern Bash, GNU utilities, Git, Python, Ruby, and other developer tools. It configures shell behavior, a fast colored prompt, editors, package sets, and macOS defaults. A dedicated dot command provides shortcuts for updates, cleanup, testing, editing configurations, and applying system settings. Installation and runcom setup are continuously tested on macOS and Ubuntu, with support for both Apple Silicon and Intel hardware.
    Downloads: 0 This Week
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  • 25
    GitHub Trending Repos

    GitHub Trending Repos

    Track GitHub trending repositories in your favorite programming lang

    ...Subscribers then receive the updates through GitHub notifications or email. Users can choose daily or weekly schedules for many supported languages. The project covers a broad range of ecosystems, including JavaScript, Python, Go, Rust, Java, TypeScript, C++, and many others.
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