Search Results for "throughput"
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Showing 14 open source projects for "throughput"
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1
Text Embeddings Inference
High-performance inference server for text embeddings models API layer
...It provides an API interface that allows developers to integrate embedding capabilities into applications without managing model internals directly. Text Embeddings Inference is optimized for throughput and low latency, enabling it to handle large volumes of requests reliably. It also emphasizes ease of deployment, often using containerization and configurable runtime options to adapt to different infrastructure setups. -
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BPB-Worker-Panel
A GUI Panel providing Worker subscriptions for VLESS
BPB-Worker-Panel is a web interface for monitoring and managing distributed workers and task queues. It provides real-time statistics on job statuses, worker performance, queue lengths, and logs. Designed for systems using task handlers like Celery, Sidekiq, or custom job runners, the panel helps administrators visualize worker load, inspect tasks, and manually retry or delete them as needed. -
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Node RDKafka
Node.js bindings for librdkafka
A high-performance Node.js client for Apache Kafka, built on top of librdkafka, providing bindings for efficient Kafka message processing. -
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AIClient-2-API
Simulates Gemini CLI, Antigravity, Qwen Code, and Kiro client
...It enables developers to connect various AI tools and clients, such as Gemini CLI, Qwen Code, or other proprietary interfaces, into a unified backend without needing to rewrite integrations. The system is designed to support high-throughput usage, handling large volumes of requests while maintaining compatibility across different AI ecosystems. It also provides access to alternative models, including built-in support for certain Claude-based functionalities, expanding flexibility for developers working with multiple providers. By abstracting away client-specific differences, it simplifies AI application development and reduces integration overhead. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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5
HyperExpress
High performance Node.js webserver with a simple-to-use API
HyperExpress aims to be a simple yet performant HTTP & Websocket Server. Combined with the power of uWebsockets.js, a Node.js binding of uSockets written in C++, HyperExpress allows developers to unlock higher throughput for their web applications with their existing hardware. This can allow many web applications to become much more performant on optimized data serving endpoints without having to scale hardware. High-performance Node.js webserver with a simple-to-use API powered by uWebsockets.js under the hood. -
6
Supertonic
Lightning-fast, on-device TTS, running natively via ONNX
...The core model is highly compact at around 66 million parameters, yet benchmarks show it can generate speech up to 167× faster than real time on modern consumer hardware and significantly outpace popular cloud TTS APIs in throughput and real-time factor. Supertonic is designed to handle real-world text gracefully, including numbers, dates, currency symbols, abbreviations, and technical units, without requiring heavy pre-processing or custom text normalization. The repository provides complete reference implementations across many programming ecosystems—Python, Node.js, browser (WebGPU/WASM), Java, C++, C#, Go, Swift, iOS, Rust, and Flutter. -
7
workerpool
Offload tasks to a pool of workers on node.js and in the browser
...It supports task queuing, dynamic worker scaling, timeouts, transferable objects, and proxy-based APIs for interacting with worker functions as if they were local calls. workerpool is designed to improve application responsiveness and throughput in workloads involving heavy computation, data processing, or asynchronous execution. The library works across multiple environments, supporting Web Workers in browsers and Worker Threads or child processes in Node.js. Its architecture emphasizes ease of integration, scalability, and efficient concurrency management for modern JavaScript applications. -
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Fastify
Fast and low overhead web framework, for Node.js
...Fastify ships with thoughtful defaults like structured logging via Pino and AJV for schema validation, and it has first-class TypeScript types. The result is a server stack that scales to high throughput while remaining easy to reason about in production. -
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8N1Term
High-speed serial terminal for embedded systems and protocol analysis
High-throughput serial capture without dropped data. Real-time plotting and visual inspection of incoming data. Combined ASCII / HEX views suitable for low-level debugging. Multi-window workflows for parallel monitoring. Cross-platform support (Windows, Linux). -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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10
tera
High speed decentralized blockchain on pow consensus
We have managed to create a blockchain with 1 second block time, 8 seconds for full confirmation of transfer and zero fees. On top of that TERA blockchain is capable of throughput of 1000 transactions per second while retaining all praised blockchain features and bringing huge possibilities for further development and seamless integration with existing infrastructure as well as with new emerging technologies. -
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nodejs-dashboard
Telemetry dashboard for node.js apps from the terminal
nodejs-dashboard is a terminal-based telemetry dashboard that provides real-time insight into Node.js application behavior during development. It overlays an interactive monitoring interface on top of a running Node process, displaying metrics such as event loop activity, memory usage, and request throughput. The tool can be injected into applications with minimal or no code changes by using Node’s preload flag, making adoption straightforward for developers. Its interface uses Unicode Braille characters to render compact graphs directly in the terminal, creating a highly responsive visual experience. nodejs-dashboard is primarily aimed at local development and debugging rather than production observability, helping engineers quickly identify performance bottlenecks. ... -
12
JPPF
The open source grid computing solution
JPPF makes it easy to parallelize computationally intensive tasks and execute them on a Grid. -
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Hyperic is application monitoring and performance management for virtual, physical, and cloud infrastructures. Auto-discover resources of 75+ technologies, including vSphere, and collect availability, performance, utilization, and throughput metrics.
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14
The system is designed for the automated analysis of high throughput sequencing data. At present Aped is focused on the analysis of data derived from Sanger and 454 sequencing. Additional functionality exists for SAGE and taxonomic profiling.
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