1776 projects for "google-visualization-python" with 2 filters applied:

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  • 1
    JsAction

    JsAction

    JsAction is a small event delegation library

    JSAction is a JavaScript framework developed by Google that provides a structured, event-driven architecture for managing user interactions in large-scale web applications. It simplifies event handling by declaratively binding actions to DOM elements through HTML attributes, enabling clean separation between markup and behavior. JSAction helps improve performance, maintainability, and reliability by minimizing the use of inline scripts and global event listeners.
    Downloads: 1 This Week
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  • 2
    Canvas

    Canvas

    Publishing on your own terms

    ...Incorporate meaningful tags, informative meta data, and canonical links to boost rankings on search and social media. Not everyone needs the headache of setting up Google Analytics, so we built in just the best parts and added a couple of new ones. Access the Unsplash API directly inside the editor and give your content a splash of color with over 3 million free, hi-res images.
    Downloads: 1 This Week
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  • 3
    Neural Tangents

    Neural Tangents

    Fast and Easy Infinite Neural Networks in Python

    Neural Tangents is a high-level neural network API for specifying complex, hierarchical models at both finite and infinite width, built in Python on top of JAX and XLA. It lets researchers define architectures from familiar building blocks—convolutions, pooling, residual connections, and nonlinearities—and obtain not only the finite network but also the corresponding Gaussian Process (GP) kernel of its infinite-width limit. With a single specification, you can compute NNGP and NTK kernels, perform exact GP inference, and study training dynamics analytically for infinitely wide networks. ...
    Downloads: 0 This Week
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  • 4
    AudioCraft

    AudioCraft

    Audiocraft is a library for audio processing and generation

    ...Both models operate over discrete audio tokens produced by a neural codec (EnCodec), which acts like a tokenizer for waveforms and enables efficient sequence modeling. The repo provides inference scripts, checkpoints, and simple Python APIs so you can generate clips from prompts or incorporate the models into applications. It also contains training code and recipes, so researchers can fine-tune on custom data or explore new objectives without building infrastructure from scratch. Example notebooks, CLI tools, and audio utilities help with prompt design, conditioning on reference audio, and post-processing to produce ready-to-share outputs.
    Downloads: 0 This Week
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  • 5
    PyQuil

    PyQuil

    A Python library for quantum programming using Quil

    PyQuil is a Python library for quantum programming using Quil, the quantum instruction language developed at Rigetti Computing. PyQuil serves three main functions. PyQuil has a ton of other features, which you can learn more about in the docs. However, you can also keep reading below to get started with running your first quantum program. Without installing anything, you can quickly get started with quantum programming by exploring our interactive Jupyter Notebook tutorials and examples. ...
    Downloads: 0 This Week
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  • 6
    Pretty Jupyter

    Pretty Jupyter

    Creates dynamic html report from jupyter notebook.

    Pretty Jupyter is an easy-to-use package that allows to create beautiful & dynamic HTML reports. Most of the features require little to no work to get working and greatly improve the quality of the output report, or even the developer’s comfort when creating the report. For example, tabs make some visualizations much more comfortable. The features are integrated directly into the output page, therefore there is no need to have an interpreter running in the backend. This makes the HTML easily...
    Downloads: 0 This Week
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  • 7
    Flama

    Flama

    Fire up your models with the flame

    Flama is a python library which establishes a standard framework for development and deployment of APIs with special focus on machine learning (ML). The main aim of the framework is to make ridiculously simple the deployment of ML APIs, simplifying (when possible) the entire process to a single line of code. The library builds on Starlette, and provides an easy-to-learn philosophy to speed up the building of highly performant GraphQL, REST and ML APIs.
    Downloads: 1 This Week
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  • 8
    Easy3D

    Easy3D

    Efficient library for processing 3D data

    Easy3D is a lightweight, easy-to-use, and efficient library for processing and rendering 3D data, implemented in C++ with Python bindings. It is designed for tasks such as 3D modeling, geometry processing, and rendering, emphasizing simplicity and efficiency. Easy3D serves as a valuable tool for research, education, and the development of sophisticated 3D applications, providing a solid foundation for handling 3D data.
    Downloads: 2 This Week
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  • 9
    Pymunk

    Pymunk

    Pymunk is a easy-to-use pythonic 2d physics library

    Pymunk is an easy-to-use Pythonic 2D physics library that can be used whenever you need 2D rigid body physics from Python. Perfect when you need 2D physics in your game, demo or simulation! It is built on top of the very capable 2D physics library Chipmunk2D. The first version was released in 2007 and Pymunk is still actively developed and maintained today, more than 15 years of active development. Pymunk has been used with success in many projects, big and small.
    Downloads: 0 This Week
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  • 10
    NGINX Admin’s Handbook

    NGINX Admin’s Handbook

    How to improve NGINX performance, security, and other important things

    nginx-admins-handbook is a practical, in-depth guide for configuring, securing, and operating NGINX across real-world deployments. It distills years of research, notes, and field experience into a single handbook that complements the official docs with concrete rules, explanations, and curated external references. The handbook spans fundamentals and advanced topics alike, from HTTP and SSL/TLS basics to reverse proxy patterns, performance tuning, debugging workflows, and hardening...
    Downloads: 4 This Week
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  • 11
    Otter-Grader

    Otter-Grader

    A Python and R autograding solution

    ...Otter supports local grading through parallel Docker containers, grading using the autograder platforms of 3rd party learning management systems (LMSs), the deployment of an Otter-managed grading virtual machine, and a client package that allows students to run public checks on their own machines. Otter is designed to grade Python scripts and Jupyter Notebooks, and is compatible with a few different LMSs, including Canvas and Gradescope.
    Downloads: 0 This Week
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  • 12
    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...
    Downloads: 3 This Week
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  • 13
    aws-cli

    aws-cli

    Universal Command Line Interface for Amazon Web Services

    The AWS CLI is the universal command-line interface for managing AWS services, automating tasks, and scripting cloud workflows. It exposes nearly every public API from EC2 and S3 to IAM, Lambda, and beyond, providing parity with the service SDKs in a tool you can run anywhere. Profiles, regions, single-sign-on, and credential helpers make it straightforward to switch contexts securely across accounts and environments. Its output controls and JMESPath querying let you slice, filter, and...
    Downloads: 3 This Week
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  • 14
    Apache Sedona

    Apache Sedona

    Cluster computing framework for processing large-scale geospatial data

    ...According to our benchmark and third-party research papers, Sedona has 50% less peak memory consumption than other Spark-based geospatial data systems for large-scale in-memory query processing. Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. You can simply create spatial analytics and data mining applications and run them in any cloud environments.
    Downloads: 1 This Week
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  • 15
    lua-resty-openidc

    lua-resty-openidc

    OpenID Connect Relying Party and OAuth 2.0 Resource Server

    lua-resty-openidc is a library for NGINX implementing the OpenID Connect Relying Party (RP) and/or the OAuth 2.0 Resource Server (RS) functionality. When used as an OpenID Connect Relying Party it authenticates users against an OpenID Connect Provider using OpenID Connect Discovery and the Basic Client Profile (i.e. the Authorization Code flow). When used as an OAuth 2.0 Resource Server it can validate OAuth 2.0 Bearer Access Tokens against an Authorization Server or, in case a JSON Web...
    Downloads: 1 This Week
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  • 16
    Deequ

    Deequ

    Deequ is a library built on top of Apache Spark

    ...Users typically run Deequ before feeding data downstream (to ML pipelines, analytics, or production systems), enabling early detection and isolation of data errors. There is also a Python wrapper, PyDeequ, for users who prefer working from Python environments.
    Downloads: 0 This Week
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  • 17
    towhee

    towhee

    Framework that is dedicated to making neural data processing

    Towhee is an open-source machine-learning pipeline that helps you encode your unstructured data into embeddings. You can use our Python API to build a prototype of your pipeline and use Towhee to automatically optimize it for production-ready environments. From images to text to 3D molecular structures, Towhee supports data transformation for nearly 20 different unstructured data modalities. We provide end-to-end pipeline optimizations, covering everything from data decoding/encoding, to model inference, making your pipeline execution 10x faster. ...
    Downloads: 0 This Week
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  • 18
    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: 2 This Week
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  • 19
    GitHub520

    GitHub520

    Community-maintained approach to improving access to GitHub services

    GitHub520 is a community-maintained approach to improving access to GitHub services from regions with network friction by leveraging host mappings. The repository provides a regularly updated list of domain-to-IP entries meant to be appended to a system’s hosts file so certain GitHub endpoints resolve faster or more reliably. It includes scripts or guidance to automate updates, reducing the need for manual lookups when IPs change. The project’s goal is pragmatic: improve developer...
    Downloads: 1 This Week
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  • 20
    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,...
    Downloads: 2 This Week
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  • 21
    FastUI

    FastUI

    Build better UIs faster

    FastUI is a library that lets developers build interactive user interfaces for FastAPI applications using Pydantic models. It automatically generates frontend components based on data schemas and endpoint logic, reducing the need for manual UI development. Designed to be type-safe, reactive, and fast, FastUI streamlines the creation of web dashboards, admin panels, and internal tools within a FastAPI backend.
    Downloads: 0 This Week
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  • 22
    pybind11

    pybind11

    Seamless operability between C++11 and Python

    Pybind11 is a lightweight, header‑only C++ library that simplifies and streamlines creating Python bindings for C++11+ code. It uses template meta-programming to automatically infer types, minimizing boilerplate compared to Boost.Python, and works seamlessly with major build systems
    Downloads: 0 This Week
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  • 23
    Polars

    Polars

    Dataframes powered by a multithreaded, vectorized query engine

    Polars is a high-performance, multi-language DataFrame library built in Rust using Apache Arrow. It delivers blazing-fast, vectorized, and parallel data manipulation with both eager and lazy execution, making it an excellent tool for data processing in Python, Rust, Node.js, R, and SQL contexts.
    Downloads: 0 This Week
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  • 24
    QPanda 2

    QPanda 2

    QPanda 2 is an open source quantum computing framework

    QPanda2 is an open source quantum computing framework developed by Origin Quantum, which can be used to build, run and optimize quantum algorithms. QPanda2 is the basic library of a series of software developed by Origin Quantum, which provides core components for QRunes, Qurator and quantum computing services.
    Downloads: 0 This Week
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  • 25
    Grey Wolf Optimizer for Path Planning

    Grey Wolf Optimizer for Path Planning

    Grey Wolf Optimizer (GWO) path planning/trajectory

    ...It allows simulation of both two-dimensional and three-dimensional UAV trajectory planning depending on parameter setups. The tool provides built-in functions to configure different UAV environments and supports multiple optimization objectives. It includes progress visualization to help monitor the optimization process during simulations. Users can adjust objective function weights and experiment with multiple heuristic search strategies to explore optimal solutions. This project demonstrates applications in multi-agent and multi-UAV cooperative path planning, making it useful for research and educational purposes in the field of intelligent optimization and robotics.
    Downloads: 1 This Week
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