Search Results for "memory usage" - Page 8
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Showing 526 open source projects for "memory usage"
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tinysearch
Tiny, full-text search engine for static websites built with Rust
...It is written in Rust and compiled to WebAssembly, allowing it to run entirely in the browser while maintaining a very small footprint. The engine uses compact data structures such as XOR filters to efficiently index and query text, significantly reducing memory usage compared to traditional search libraries. TinySearch is particularly well-suited for blogs and documentation sites generated by static site generators, where simplicity and performance are critical. It processes content into a serialized binary index that can be loaded quickly and searched client-side, eliminating the need for external search services. ... -
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Chitu
High-performance inference framework for large language models
...Chitu is designed to scale from small single-machine deployments to large distributed clusters that handle high volumes of concurrent inference requests. The system also includes performance optimizations for large models, including support for quantized formats and efficient computation operators that reduce memory usage and latency. Its architecture aims to support enterprise adoption by ensuring stable long-term operation under production workloads. -
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LuxTTS
A high-quality rapid TTS voice cloning model
...The project supports zero-shot voice cloning, meaning it can adapt to a reference speaker’s voice with minimal example data, enabling realistic and personalized synthetic speech. Intended for developers, hobbyists, and creators, the repository includes installation instructions, usage examples, and Python APIs that make it feasible to integrate the model in local workflows, web demos, or production systems. Its design emphasizes efficiency and practicality, fitting within modest GPU memory footprints. -
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Coroot
Open-source observability for microservices
...Understand your cloud costs down to any given application. Doesn't require access to your cloud account or any other configurations. Analyze any unexpected spike in CPU or memory usage down to the precise line of code. Don't make assumptions, know exactly what the resources were spent on. Easily investigate any anomaly by comparing it to the system's baseline behavior. -
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Devtron
Tool integration platform for Kubernetes
...Provides deployment metrics like; deployment frequency, lead time, change failure rate, and mean-time recovery. Seamlessly integrates with Grafana for continuous application metrics like CPU and memory usage, status code, throughput, and latency on the dashboard. -
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Context Hub
Makes coding agents get smarter with every task
...Context Hub is especially useful for teams that use AI coding assistants and want more reliable API usage, fewer hallucinated calls, and a transparent source of agent-readable context. -
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Sail
A drop-in Apache Spark replacement written in Rust
...It also emphasizes cost efficiency, with benchmarks showing significant performance improvements and reduced infrastructure usage compared to traditional systems. -
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Worktale
Turns git history into a personal record of what you actually built
Worktale is a local-first developer productivity tool designed as a command-line interface that transforms raw Git history into a structured, human-readable record of a developer’s actual work output. Instead of relying on memory, scattered commits, or external tracking tools, it automatically captures and organizes commit activity into a cohesive narrative that reflects what was built, when, and how. The tool operates entirely on the user’s machine, scanning repositories and installing... -
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Extractous
Fast and efficient unstructured data extraction
...Its purpose is to extract text and metadata efficiently from formats such as PDF, Word, HTML, email archives, images, and more, without depending on external APIs or separate parsing servers. The project emphasizes performance and low memory usage, and its maintainers describe it as a local-first alternative to heavier extraction stacks. For broader format support, the system combines its Rust core with ahead-of-time compiled Apache Tika shared libraries, which allows it to extend parsing coverage while still avoiding traditional server-based overhead. It also supports OCR for images and scanned documents through Tesseract, making it useful for document ingestion pipelines that include image-based or scanned inputs. -
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WGCLOUD
Visibility into servers, applications, and infrastructure
...Built on a Spring Boot microservices foundation with an agent-server model, the system emphasizes rapid deployment, minimal configuration overhead, and automated operation for large-scale environments. It collects extensive host metrics such as CPU usage, temperature, memory utilization, disk performance, network throughput, and hardware health while also supporting monitoring of processes, containers, ports, and databases. The platform includes advanced operational capabilities such as web-based SSH access, batch command execution, and visual topology generation, making it more than a passive monitoring tool. wgcloud is intended for private, self-hosted deployments where organizations want full control over monitoring data without relying on external cloud services. -
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observer_cli
Visualize Erlang/Elixir Nodes On The Command Line
...Increments are values that are mostly useful when compared to a previous one to have an idea of what they're doing because otherwise, they'd never stop increasing: bytes in and out of the node, number of garbage collector runs, words of memory that were garbage collected, and the global reductions count for the node. Total scheduler utilization will equal 1.0 when all schedulers have been active all the time between the two refresh intervals. The result being that there is a decent chunk of CPU usage that would be mostly free for scheduling actual Erlang work (assuming the schedulers are busy waiting more than trying to select tasks to run). -
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Dozzle
Realtime log viewer for containers. Supports Docker, Swarm and K8s
...The interface includes practical quality-of-life features like fuzzy searching for containers, regex log search, split-screen viewing for multiple logs, and live stats such as CPU and memory usage. It supports more advanced analysis through an in-browser SQL query engine for querying logs, which helps when you need structured filtering without exporting data elsewhere. Dozzle also supports multi-user authentication and can integrate with proxy-forward authorization setups for deployments behind gateways. For larger environments, it can monitor multiple hosts via an agent mode and supports orchestrators like Docker Swarm and Kubernetes. -
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RISC-V sandboxing library
The fastest RISC-V sandbox
RISC-V sandboxing library is a high-performance, ultra-low-latency RISC-V userspace emulator library written in modern C++, designed for embedding and sandboxing applications. Unlike full-system emulators, it focuses specifically on executing user-space programs, making it ideal for scenarios such as sandboxed execution, scripting engines, and high-performance server environments. The library is engineered to achieve extremely fast startup and execution times, with the ability to run large... -
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LLM-Pruner
On the Structural Pruning of Large Language Models
LLM-Pruner is an open-source framework designed to compress large language models through structured pruning techniques while maintaining their general capabilities. Large language models often require enormous computational resources, making them expensive to deploy and inefficient for many practical applications. LLM-Pruner addresses this issue by identifying and removing non-essential components within transformer architectures, such as redundant attention heads or feed-forward... -
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Torch Pruning
DepGraph: Towards Any Structural Pruning
Torch-Pruning is an open-source toolkit designed to optimize deep neural networks by performing structural pruning directly within PyTorch models. The library focuses on reducing the size and computational cost of neural networks by removing redundant parameters and channels while maintaining model performance. It introduces a graph-based algorithm called DepGraph that automatically identifies dependencies between layers, allowing parameters to be pruned safely across complex architectures.... -
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Autocxx
Tool for safe ergonomic Rust/C++ interop driven from existing C++
autocxx is an open source Rust tool and procedural macro designed to enable automatic, safe interoperability between C++ and Rust. It integrates the functionality of bindgen (for parsing and generating Rust bindings from C++ headers) with cxx (for safe and idiomatic Rust–C++ communication), automating the creation of bridges between the two languages. With autocxx, developers can include C++ headers directly in Rust source code and automatically generate bindings for the corresponding C++... -
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LiteRT
LiteRT, successor to TensorFlow Lite
LiteRT is Google's next-generation on-device machine learning framework and the successor to TensorFlow Lite, designed for high-performance AI and generative AI deployment across edge devices. It provides efficient model conversion, optimization, and runtime execution while leveraging hardware acceleration from CPUs, GPUs, and NPUs. LiteRT supports a wide range of platforms, including Android, iOS, Linux, macOS, Windows, web environments, and IoT devices. The framework simplifies on-device... -
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HTTP Kit
Clojure HTTP server/client library with WebSocket support
...It comfortably handles tens of thousands of requests/sec on even midrange hardware. Here is another test about how it stacks up with others. It's not only fast, but efficient! Each connection costs nothing but a few kB of memory. RAM usage grows O(n) with connections. Written from the ground-up to be lean, the entire client/server is available as a single ~90kB JAR with zero dependencies and ~3k lines of (mostly Java) code. Synchronous is simple. Asynchronous is fast & flexible. -
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Alternative JSON parser for Go
One of the fastest alternative JSON parser for Go
It does not require you to know the structure of the payload (eg. create structs), and allows accessing fields by providing the path to them. It is up to 10 times faster than standard encoding/json package (depending on payload size and usage), allocates no memory. Originally made for a project that relies on a lot of 3rd party APIs that can be unpredictable and complex. Encoding/json requires you to know exactly your data structures, or if you prefer to use map[string]interface{} instead, it will be very slow and hard to manage. I investigated what's on the market and found that most libraries are just wrappers around encoding/json, there is few options with own parsers (ffjson, easyjson), but they still require you to create data structures. ... -
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CPUAlert
High / Low CPU & MEMORY usage alerts by Email / Teams / Telegram
Simple and powerful CPU & MEMORY monitoring tool for Windows and Linux. Detect both HIGH and LOW usage, avoid repeated alert spam, and identify the TOP1-TOP5 process causing the issue. Alert only when usage continuously exceeds the threshold and back to normal. It monitors CPU and RAM usage and sends Email, Microsoft Teams, and Telegram alert notifications when usage remains above or below configured thresholds. -
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Smile
Statistical machine intelligence and learning engine
...Compared to this third-party benchmark, Smile outperforms R, Python, Spark, H2O, xgboost significantly. Smile is a couple of times faster than the closest competitor. The memory usage is also very efficient. If we can train advanced machine learning models on a PC, why buy a cluster? Write applications quickly in Java, Scala, or any JVM languages. Data scientists and developers can speak the same language now! Smile provides hundreds advanced algorithms with clean interface. Scala API also offers high-level operators that make it easy to build machine learning apps. ... -
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Resque
Ruby library for creating background jobs and processing them
Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later. Resque (pronounced like "rescue") is a Redis-backed library for creating background jobs, placing those jobs on multiple queues, and processing them later. Background jobs can be any Ruby class or module that responds to perform. Your existing classes can easily be converted to background jobs or you can create new classes specifically to do work. Or, you can do... -
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quicktemplate
Fast, powerful, yet easy to use template engine for Go
quicktemplate is a fast and efficient templating engine for Go that generates code at compile time to render templates with minimal runtime overhead. Unlike traditional templating systems that interpret templates dynamically, Quicktemplate compiles templates into Go code, significantly improving performance. This approach eliminates the need for reflection and reduces memory allocations, making it suitable for high-performance applications. The library is designed to be simple and... -
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Mini Agent
A minimal yet professional single agent demo project
Mini-Agent is a minimal yet production-minded demo project that shows how to build a serious command-line AI agent around the MiniMax-M2 model. It is designed both as a reference implementation and as a usable agent, demonstrating a full execution loop that includes planning, tool calls, and iterative refinement. The project exposes an Anthropic-compatible API interface and fully supports interleaved thinking, letting the agent alternate between reasoning steps and tool invocations during... -
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Qwen2.5-Omni
Capable of understanding text, audio, vision, video
Qwen2.5-Omni is an end-to-end multimodal flagship model in the Qwen series by Alibaba Cloud, designed to process multiple modalities (text, images, audio, video) and generate responses both as text and natural speech in streaming real-time. It supports “Thinker-Talker” architecture, and introduces innovations for aligning modalities over time (for example synchronizing video/audio), robust speech generation, and low-VRAM/quantized versions to make usage more accessible. It holds...
