Search Results for "run time java" - Page 6
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2394 projects for "run time java" with 1 filter applied:
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Gemini 3 and 200+ AI Models on One PlatformBuild, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
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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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Stlite
n-browser Streamlit
Stlite is a WebAssembly-powered framework that enables Streamlit applications to run entirely in the browser without requiring a Python backend server. It achieves this by using Pyodide, a WebAssembly-based Python runtime, to execute Python code directly within the browser environment. This allows developers to build interactive data applications using familiar Streamlit APIs while eliminating the need for server-side infrastructure. -
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pi-autoresearch
Autonomous experiment loop extension for pi
...The system likely integrates with external data sources or APIs to retrieve information and process it into structured insights. Its architecture suggests a focus on autonomy, allowing it to run multi-step research pipelines that mimic human investigative processes. This makes it particularly useful for exploratory analysis, trend discovery, or generating structured knowledge from large information spaces. Overall, pi-autoresearch represents a step toward self-directed research agents capable of producing increasingly refined outputs over time. -
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CUDA Containers for Edge AI & Robotics
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
...These containers simplify the deployment of complex machine learning environments by bundling libraries such as CUDA, TensorRT, and deep learning frameworks into reproducible container images. The project is particularly useful for developers building edge AI and robotics systems that rely on GPU-accelerated inference and real-time computer vision. By using containerized environments, developers can ensure that their applications run consistently across different Jetson platforms and JetPack versions. The repository also includes build tools and package management utilities that help automate the process of assembling machine learning environments. -
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Azure Cost CLI
CLI tool to perform cost analysis on your Azure subscription
azure-cost-cli is a command-line tool that simplifies cost analysis for Microsoft Azure subscriptions by retrieving, summarizing, and visualizing spending data directly from the CLI, helping cloud operators and finance teams understand where resources are generating costs. Users can run the tool against their Azure account to output cost breakdowns by service, resource group, tag, or timeframe, enabling quick identification of costly services or budget overruns without needing to navigate... -
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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doc.rustdesk.com
Document of RustDesk
...The docs explain concepts like rendezvous versus relay roles, NAT traversal, security settings, and platform-specific nuances across Windows, macOS, Linux, and mobile. Clear navigation and task-oriented articles help readers move quickly from first-time installation to advanced troubleshooting. The project treats documentation as code, enabling version control, community contributions, and swift iteration alongside product releases. It also provides best practices around performance tuning, authentication choices, and network topology so organizations can run RustDesk confidently at scale. -
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BenchmarkTools.jl
A benchmarking framework for the Julia language
BenchmarkTools makes performance tracking of Julia code easy by supplying a framework for writing and running groups of benchmarks as well as comparing benchmark results. This package is used to write and run the benchmarks found in BaseBenchmarks.jl. The CI infrastructure for automated performance testing of the Julia language is not in this package but can be found in Nanosoldier.jl. Our story begins with two packages, "Benchmarks" and "BenchmarkTrackers". The Benchmarks package... -
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Spring Cloud Kubernetes
Kubernetes integration with Spring Cloud Discovery Client
Spring Cloud Kubernetes provides implementations of well known Spring Cloud interfaces allowing developers to build and run Spring Cloud applications on Kubernetes. While this project may be useful to you when building a cloud native application, it is also not a requirement in order to deploy a Spring Boot app on Kubernetes. If you are just getting started in your journey to running your Spring Boot app on Kubernetes you can accomplish a lot with nothing more than a basic Spring Boot app... -
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RuoYi AI
Enterprise AI platform for building, deploying, and managing apps
RuoYi AI is a full-stack enterprise-oriented AI development platform designed to help developers rapidly build, deploy, and manage intelligent applications using modern large language models and AI ecosystems. It provides a unified framework for integrating multiple AI models from different providers, allowing teams to switch or combine models through a consistent interface without vendor lock-in. RuoYi AI includes built-in support for retrieval-augmented generation, enabling organizations... -
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Skills Janitor
Audit, track usage, and compare your Claude Code skills
The Skills Janitor project is a lightweight plugin designed to manage, audit, and optimize AI agent skill ecosystems, particularly for environments like Claude Code and OpenAI Codex. It functions as a “maintenance layer” for AI skills by automatically scanning installed skill directories, identifying duplicates, and analyzing their structure and usage. One of its core purposes is to help developers maintain a clean and efficient skill environment, especially as the number of installed skills... -
Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
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iText Core/Community
iText for .NET is the .NET version of the iText library
iText Core/Community (previously known as iTextSharp) is a high-performance, battle-tested library that allows you to create, adapt, inspect, and maintain PDF documents, allowing you to add PDF functionality to your software projects with ease. It is also available for Java. For more advanced examples, refer to our Knowledge Base or the main Examples repo. You can find C# equivalents to the Java Signing examples here, though the Java code is very similar since they have the same API. Some of the output PDF files will be incorrectly displayed by the GitHub previewer, so be sure to download them to see the correct results. ... -
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shot-scraper
A command-line utility for taking automated screenshots of websites
...After installation, a single command can capture a full-page screenshot of a URL and save it to a file, making it ideal for documentation, monitoring, and visual regression tasks. Under the hood it uses a modern browser (installed via a one-time shot-scraper install step) and exposes options for viewport size, full-page versus clipped screenshots, and device emulation. Beyond simple captures, it can run custom JavaScript before taking the shot, allowing you to open menus, scroll, or manipulate the DOM so the screenshot reflects the desired state. The project is deeply integrated with automation workflows: examples show it running in scheduled jobs, GitHub Actions, and bots that publish screenshots to social media or use them in docs. ... -
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Autoskills
One command. Your entire AI skill stack. Installed
The Autoskills project is a developer tool that automates the installation of AI agent skills based on a project’s technology stack. It operates through a simple command-line interface that scans configuration files such as package.json and build scripts to detect the frameworks, languages, and tools used in a project. Once the stack is identified, it automatically installs a curated set of AI skills tailored to those technologies, significantly reducing setup time for AI-assisted... -
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Percy
Build frontend browser apps with Rust + WebAssembly
...Percy supports multiple rendering strategies, including client-side rendering, server-side rendering, and hybrid approaches, giving developers flexibility in how applications are delivered and optimized. The framework integrates closely with the Rust ecosystem, leveraging tools like wasm-bindgen to compile Rust code into WebAssembly modules that run in the browser. It emphasizes performance and type safety, allowing developers to build complex interfaces while benefiting from Rust’s compile-time guarantees. Percy also includes routing and component state management features, enabling the creation of full-featured single-page applications. -
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Hugging Face - Speech To Speech
Open speech-to-speech models and pipelines by Hugging Face toolkit AI
...It is designed to help researchers and developers experiment with multilingual and cross-lingual voice applications. It integrates with the broader Hugging Face ecosystem, making it easier to load pretrained models and run inference. It also serves as a foundation for building real-time or batch audio transformation systems. Overall, it highlights an emerging approach to voice technology that reduces latency and preserves more of the original speech characteristics. -
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Interactive Machine Learning Experiments
Interactive Machine Learning experiments
Interactive Machine Learning Experiments is a collection of interactive demonstrations that showcase how various machine learning models can be trained and used in real applications. The project combines Jupyter or Colab notebooks with browser-based visual demos that allow users to see trained models operating in real time. Many experiments involve tasks such as image classification, object detection, gesture recognition, and simple generative models. The models are typically trained in... -
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MLE-bench
AI multi-agent framework for automating data-driven R&D workflows
...By iterating through these stages, the framework continuously refines models and strategies using feedback from previous results. RD-Agent focuses heavily on automating complex tasks such as feature engineering, model design, and experimentation, which are traditionally time-consuming in machine learning and quantitative research workflows. RD-Agent can analyze data, generate experimental code, run evaluations, and learn from outcomes to improve future iterations. -
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HeavyDB
HeavyDB (formerly MapD/OmniSciDB)
HeavyDB is an open-source GPU-accelerated analytical database designed to perform extremely fast queries on large datasets. The system is built as a SQL-based relational columnar database engine that leverages modern hardware parallelism, including GPUs and multicore CPUs. Its architecture allows users to query datasets containing billions of rows in milliseconds without requiring traditional indexing, pre-aggregation, or sampling techniques. HeavyDB was originally developed as part of the... -
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GitClaw
A universal git-native AI agent framework
GitClaw is an open-source framework for building AI agents whose entire identity, configuration, memory, and capabilities live inside a Git repository. Instead of storing agent state in databases or application code, the framework treats a repository itself as the agent’s environment, allowing developers to version, inspect, and collaborate on agents using standard Git workflows. The system defines structured files that represent the agent’s personality, rules, configuration, and operational... -
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Clouddriver
Read and write operations across cloud providers
Clouddriver is the cloud-provider integration layer of Spinnaker, exposing a uniform API and cache for infrastructure resources across multiple clouds. It discovers and tracks entities such as server groups, load balancers, security groups, images, and instances, normalizing them so higher-level services can reason consistently. The service also brokers mutating operations—like creating server groups or resizing clusters—by translating Spinnaker requests into provider-specific calls. A... -
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Apache Drill
Apache Drill is a distributed MPP query layer for self describing data
Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel. Get faster insights without the overhead (data loading, schema creation and maintenance, transformations, etc.) Analyze the multi-structured and nested data in non-relational datastores directly without transforming or restricting the data. Leverage your existing SQL skillsets and BI tools including Tableau,... -
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Aleph
Asynchronous streaming communication for Clojure
Aleph is an asynchronous I/O framework for Clojure built atop Netty, offering efficient, non-blocking network programming with support for HTTP, raw TCP/UDP, and streaming through Manifold streams. Aleph follows the Ring spec fully and can be a drop-in replacement for any existing Ring-compliant server. However, it also allows for the handler function to return a Manifold deferred to represent an eventual response. This feature may not play nicely with synchronous Ring middleware, which... -
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Kamon Telemetry
Distributed Tracing, Metrics and Context Propagation for applications
Kamon Telemetry is a set of libraries for instrumenting applications running on the JVM. With Kamon Telemetry you can collect metrics, propagate context across threads and services, and get distributed traces automatically. The best way to get started is by following our installation guides and taking it from there. Have fun with Kamon. Monitor your backend applications, fix performance issues, and get alerted when problems happen. All without being a monitoring expert. Everybody starts... -
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Apache Polaris
Apache Polaris, the interoperable, open source catalog
Apache Polaris is an open-source metadata catalog and data management service designed to manage Apache Iceberg tables in modern data lakehouse environments. It provides a centralized catalog that allows multiple compute engines and analytics systems to interact with the same datasets through a standardized interface. By implementing the Iceberg REST catalog API, Polaris enables distributed data platforms to access shared table metadata without tightly coupling storage systems and query... -
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TinyClaw
The original Tiny Claw as your personal autonomous AI companion
...Overall, TinyClaw aims to democratize autonomous AI agents by delivering a lightweight, extensible, and personality-driven companion platform that evolves with the user over time. -
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MimiClaw
Run OpenClaw on a $5 chip
MimiClaw (from the mimiclaw project) is an edge-AI personal assistant that runs directly on extremely low-cost hardware like an ESP32-S3 microcontroller without a full operating system, Node.js, or cloud backend. By running pure C on a bare-metal chip, MimiClaw brings AI interactions and persistent memory to a tiny USB-powered device you can carry in your pocket. You connect the device to Wi-Fi and chat with it using Telegram, making it a convenient always-on assistant for tasks like...
