Search Results for "google-visualization-python" - Page 12
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Showing 18050 open source projects for "google-visualization-python"
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ExtractThinker
ExtractThinker is a Document Intelligence library for LLMs
ExtractThinker is a tool designed to facilitate the extraction and analysis of information from various data sources, aiding in data processing and knowledge discovery. -
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CounterfactualExplanations.jl
A package for Counterfactual Explanations and Algorithmic Recourse
...While the package is written purely in Julia, it can be used to explain machine learning algorithms developed and trained in other popular programming languages like Python and R. See below for a short introduction and other resources or dive straight into the docs. -
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DataEase
Data visualization analysis tool
An open source data visualization analysis tool available to everyone. DataEase is an open-source data visualization analysis tool that helps users quickly analyze data and gain insight into business trends, so as to achieve business improvement and optimization. DataEase supports rich data source connections, can quickly create charts by dragging and dropping, and can easily share with others. -
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JupyterLite
Wasm powered Jupyter running in the browser
JupyterLite is a browser-based distribution of the Jupyter ecosystem that enables interactive computing entirely within a web browser without requiring a backend server. Built using JupyterLab components and powered by WebAssembly technologies, it allows users to run Python and other language kernels directly in the browser through tools like Pyodide or Xeus. This architecture eliminates the need for installation or server infrastructure, making it highly accessible for education, demonstrations, and lightweight data science workflows. JupyterLite supports many core Jupyter features, including notebooks, code consoles, and interactive visualizations, while storing files locally using browser storage mechanisms such as IndexedDB. ... -
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smart_open
Utils for streaming large files (S3, HDFS, gzip, bz2...)
smart_open is a Python library for streaming very large files from local or remote storage through a familiar file-like interface. It acts as an extended replacement for Python's built-in open function. Supported backends include Amazon S3, Google Cloud Storage, Azure Blob Storage, HDFS, WebHDFS, HTTP, HTTPS, SFTP, and local filesystems. Data can be read or written without first downloading an entire remote object to disk. -
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Swirl
Swirl queries any number of data sources with APIs
...Built on the Python/Django/RabbitMQ stack, SWIRL includes connectors to Apache Solr, ChatGPT, Elastic, OpenSearch | PostgreSQL, Google BigQuery plus generic HTTP/GET/JSON with configurations for premium services. -
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KaTrain
Improve your Baduk skills by training with KataGo
KaTrain is an advanced training and analysis tool for the board game Go that leverages the powerful KataGo AI engine to provide real-time feedback and in-depth game review capabilities. It is designed to help players of all skill levels improve by identifying mistakes, analyzing move efficiency, and offering alternative strategies based on AI evaluation. The application allows users to play against AI opponents with adjustable difficulty, including intentionally weakened versions of the... -
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DataFrames.jl
In-memory tabular data in Julia
...It provides a familiar, flexible, and efficient interface for handling datasets, making it easy to load, manipulate, join, and analyze structured data. With syntax inspired by data frames in R and pandas in Python, it offers intuitive tools while taking advantage of Julia’s speed and type system. The package is actively maintained by the JuliaData community, with contributions from over 200 developers worldwide. It is widely used for data science, research, and production applications, supported by extensive documentation, tutorials, and a free Julia Academy course. ... -
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Cookiecutter Django
Framework for jumpstarting production-ready Django projects quickly
...Send emails via Anymail (using Mailgun by default or Amazon SES if AWS is selected cloud provider, but switchable). Media storage using Amazon S3 or Google Cloud Storage. Docker support using docker-compose for development and production (using Traefik with LetsEncrypt support). Procfile for deploying to Heroku. Provides instructions for deploying to PythonAnywhere. You can run tests with unittest or pytest. -
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luma.gl
High-performance Toolkit for WebGL-based data visualization
...While generic enough to be used for general 3D rendering, luma.gl's mandate is primarily to support GPU needs of data visualization frameworks in the vis.gl suite. -
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codebase-memory-mcp
High-performance code intelligence MCP server
...It indexes codebases into a persistent knowledge graph so agents can understand architecture, symbols, call chains, routes, and cross-service relationships without reading every file repeatedly. The project uses tree-sitter AST analysis across 158 languages and adds Hybrid LSP type resolution for major languages like Python, TypeScript, JavaScript, Go, C#, Java, Rust, C, and C++. It is built for speed, with average repositories indexed in milliseconds and structural queries answered in under one millisecond. It ships as a single static binary for macOS, Linux, and Windows with no shared library dependencies. It also includes semantic search, BM25 search, graph visualization, auto-indexing, and cross-repository intelligence. -
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Python Core 50 Courses
Structured learning path that organizes Python fundamentals
Python-Core-50-Courses is a structured learning path that organizes Python fundamentals into 50 digestible lessons designed for steady, incremental progress. The curriculum starts with the basics—syntax, variables, data types, and control flow—then advances to functions, modules, object-oriented programming, and common standard-library utilities. -
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Bot Framework SDK for Python
Build and connect intelligent bots that interact naturally
This repository contains code for the Python version of the Microsoft Bot Framework SDK, which is part of the Microsoft Bot Framework - a comprehensive framework for building enterprise-grade conversational AI experiences. This SDK enables developers to model conversation and build sophisticated bot applications using Python. SDKs for JavaScript and .NET are also available. -
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Best-of Web Development with Python
A ranked list of awesome python libraries for web development
...If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. Contributions are very welcome! A ranked list of awesome python libraries for web development. Updated weekly. -
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Lithops
A multi-cloud framework for big data analytics
Lithops is an open-source serverless computing framework that enables transparent execution of Python functions across multiple cloud providers and on-prem infrastructure. It abstracts cloud providers like IBM Cloud, AWS, Azure, and Google Cloud into a unified interface and turns your Python functions into scalable, event-driven workloads. Lithops is ideal for data processing, ML inference, and embarrassingly parallel workloads, giving you the power of FaaS (Function-as-a-Service) without vendor lock-in. ... -
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Yggdrasil
Collection of builder repositories for BinaryBuilder.jl
This repository contains recipes for building binaries for Julia packages using BinaryBuilder.jl. -
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Auto Synced & Translated Dubs
Automatically translates the text of a video based on a subtitle file
Auto-Synced-Translated-Dubs is a toolchain that automatically translates and re-dubs videos using AI voices while keeping the new speech aligned to the original timing via subtitle files. It assumes you have a human-made SRT (or similar) subtitle file; the script then uses translation services such as Google Cloud or DeepL to generate translated subtitle tracks in one or more target languages. Using the timestamps of each subtitle line, it computes the required duration of each spoken segment and synthesizes audio via neural TTS services, producing one audio clip per subtitle entry. The tool then time-stretches or compresses each TTS clip to match the original speech duration exactly, which preserves lip-sync and rhythm as closely as possible without manual editing. ... -
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ScrapydWeb
Web app for Scrapyd cluster management
Web app for Scrapyd cluster management, with support for Scrapy log analysis & visualization. Make sure that Scrapyd has been installed and started on all of your hosts. Start ScrapydWeb via command scrapydweb. (a config file would be generated for customizing settings on the first startup.) Add your Scrapyd servers, both formats of string and tuple are supported, you can attach basic auth for accessing the Scrapyd server, as well as a string for grouping or labeling. -
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Materials Discovery: GNoME
AI discovers 520000 stable inorganic crystal structures for research
Materials Discovery (GNoME) is a large-scale research initiative by Google DeepMind focused on applying graph neural networks to accelerate the discovery of stable inorganic crystal materials. The project centers on Graph Networks for Materials Exploration (GNoME), a message-passing neural network architecture trained on density functional theory (DFT) data to predict material stability and energy formation. -
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Penzai
A JAX research toolkit to build, edit, & visualize neural networks
Penzai, developed by Google DeepMind, is a JAX-based library for representing, visualizing, and manipulating neural network models as functional pytree data structures. It is designed to make machine learning research more interpretable and interactive, particularly for tasks like model surgery, ablation studies, architecture debugging, and interpretability research. -
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Google Engineering Practices Docs
Google's Engineering Practices documentation
The eng-practices project by Google is a public repository that documents the company’s established engineering best practices, accumulated through years of large-scale software development across diverse teams and languages. Its purpose is to share Google’s collective experience in areas such as code review, collaboration, and quality assurance with the broader software engineering community. -
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JUDI.jl
Julia Devito inversion
...The focus of the package lies on seismic modeling as well as PDE-constrained optimization such as full-waveform inversion (FWI) and imaging (LS-RTM). Wave equations in JUDI are solved with Devito, a Python domain-specific language for automated finite-difference (FD) computations. JUDI's modeling operators can also be used as layers in (convolutional) neural networks to implement physics-augmented deep learning algorithms thanks to its implementation of ChainRules's rrule for the linear operators representing the discre wave equation. -
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Apache Hamilton
Helps data scientists define testable self-documenting dataflows
Apache Hamilton is an open-source Python framework designed to simplify the creation and management of dataflows used in analytics, machine learning pipelines, and data engineering workflows. The framework enables developers to define data transformations as simple Python functions, where each function represents a node in a dataflow graph and its parameters define dependencies on other nodes. -
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react-globe.gl
React component for Globe Data Visualization using ThreeJS/WebGL
...The library is suitable for dashboards, geographic analytics, global networks, satellite displays, maps, and other React applications that require interactive spherical visualization. -
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Google Cloud Build community images
Community-contributed images for Google Cloud Build
Google Cloud Build community images repository is an open-source collection of community-contributed Docker builder images designed to extend the capabilities of Google Cloud Build beyond its official set of supported tools. It provides source code for a wide variety of builders that can be used as individual steps within Cloud Build pipelines, enabling developers to execute specialized tasks that are not covered by default builder images.
