Search Results for "linux performance booster" - Page 67
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Showing 6284 open source projects for "linux performance booster"
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Symbolics.jl
Symbolic programming for the next generation of numerical software
Symbolics.jl is a high-performance symbolic computation library for the Julia programming language. It enables users to define, manipulate, and analyze mathematical expressions symbolically, with strong support for symbolic differentiation, simplification, equation solving, and code generation. Designed for use in scientific computing, machine learning, and engineering, Symbolics.jl integrates smoothly with Julia’s numerical ecosystem, allowing symbolic expressions to be compiled and... -
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NErlNet
Nerlnet is a framework for research and development
NErlNet is a research-grade framework for distributed machine learning over IoT and edge devices. Built with Erlang (Cowboy HTTP), OpenNN, and Python (Flask), it enables simulation of clusters on a single machine or real deployment across heterogeneous devices. -
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Dask
Parallel computing with task scheduling
Dask is a Python library for parallel and distributed computing, designed to scale analytics workloads from single machines to large clusters. It integrates with familiar tools like NumPy, Pandas, and scikit-learn while enabling execution across cores or nodes with minimal code changes. Dask excels at handling large datasets that don’t fit into memory and is widely used in data science, machine learning, and big data pipelines. -
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Node (Base Node)
Everything required to run your own Base node
node is the Ethereum Layer 2 full node implementation developed for the Base network, a secure and scalable L2 chain built on the OP Stack. Designed to support Base’s rollup protocol, the node syncs L2 data, validates transactions, and interacts with Ethereum mainnet. It enables developers and validators to run their own Base-compatible infrastructure while contributing to decentralization and performance. -
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sqlsmith
A random SQL query generator
SQLSmith is a fuzz testing tool for PostgreSQL that automatically generates random SQL queries to uncover bugs in the query planner and executor. It is widely used by PostgreSQL developers and database vendors to stress-test SQL features and engine behavior under edge-case conditions. SQLSmith helps improve database robustness by revealing unexpected failures. -
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LakeSoul
An end-to-end, realtime and cloud native Lakehouse framework
LakeSoul is a high-performance, unified table storage framework for big data lakes, supporting both streaming and batch data in a single format. Built on top of Apache Spark and leveraging Apache Arrow and Parquet, LakeSoul provides ACID transactions, schema evolution, and time travel. It is designed for large-scale data lake architectures that require consistency, efficiency, and easy integration with modern data stacks. -
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Apache AGE
Graph database optimized for fast analysis
Apache AGE (A Graph Extension) is a PostgreSQL extension that adds support for graph database functionality using the openCypher query language. AGE allows users to store and query graph-structured data alongside traditional relational data in a single database. Built for performance and scalability, it brings the power of graph queries to the robustness of PostgreSQL, making it suitable for use cases like social networks, recommendation systems, and fraud detection. -
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Tortoise ORM
Familiar asyncio ORM for python, built with relations in mind
Tortoise ORM is an easy-to-use asyncio ORM (Object Relational Mapper) for Python, inspired by Django's ORM. It is designed to work with asynchronous frameworks, providing a simple and familiar API for interacting with databases. Tortoise ORM supports various relational databases and is suitable for building high-performance web applications. -
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Drizzle ORM
Headless TypeScript ORM with a head. Runs on Node, Bun and Deno
Drizzle ORM is a lightweight, TypeScript-first Object-Relational Mapping (ORM) tool designed for modern JavaScript runtimes. It supports environments like Node.js, Bun, Deno, and even edge runtimes, providing developers with a flexible and type-safe way to interact with databases. Drizzle ORM emphasizes performance and developer experience. -
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Google Translate PHP
Free Google Translate API PHP Package
A simple and effective PHP library for translating text using Google Translate without needing an API key. It allows developers to integrate real-time translation features into their applications with minimal setup and supports multiple languages, leveraging Google Translate’s unofficial endpoint. -
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image-optimizer
Easily optimize images using PHP
Spatie Image Optimizer is a PHP package that automatically optimizes images by compressing them without losing quality. It works with various image formats, including JPEG, PNG, GIF, and SVG, by using underlying optimization tools. The package is lightweight and can be easily integrated into web applications to reduce image file sizes, enhancing loading speed and performance. -
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ArangoDB Java Driver
The official ArangoDB Java driver
ArangoDB Java Driver is the official Java client for interacting with ArangoDB, a multi-model NoSQL database that supports document, key-value, and graph storage. This driver provides a high-level API for managing databases, executing AQL queries, and handling transactions efficiently. -
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TapeAgents
A framework that facilitates all stages of LLM development
TapeAgents is a framework that facilitates all stages of the Large Language Model (LLM) agent development lifecycle, providing tools for building, testing, and deploying AI agents. -
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Tiledesk Dashboard
Tiledesk is the open source AI agent builder
Tiledesk Dashboard is the frontend management interface for the Tiledesk platform, allowing administrators to configure settings, monitor live chats, and manage chatbot workflows. -
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SetFit
Efficient few-shot learning with Sentence Transformers
SetFit is an efficient and prompt-free framework for few-shot fine-tuning of Sentence Transformers. It achieves high accuracy with little labeled data - for instance, with only 8 labeled examples per class on the Customer Reviews sentiment dataset, SetFit is competitive with fine-tuning RoBERTa Large on the full training set of 3k examples. -
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The Acton programming language
The Acton Programming Language
Write programs that seamlessly run as a distributed system over an entire data center or region. All without a single line of RPC code. Acton automatically persists the state of your application (orthogonal persistence) to a built-in distributed backend. No need to use a database or message broker ever again. 0 lines of persistence code. Built-in redundancy; Acton's transactional, high-performance distributed RTS can seamlessly resume application state after hardware failures. Never stop for... -
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Swell
Swell: API development tool that enables developers to test endpoints
Your one-stop shop for sending, monitoring, and testing RESTful, gRPC, GraphQL, Websocket, OpenAPI, WebRTC, Webhooks, and streaming API requests. Now with Stress testing and Mocking. Swell supports full HTTP2 multiplexing of requests and responses. HTTP requests to the same host will be sent over the same connection. Swell will attempt to initiate an HTTP2 connection for all HTTPS requests by default, but will revert to HTTP1.1 for legacy servers. Multiple concurrent streams are allowed for... -
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XMRig Proxy
Monero (XMR) Stratum protocol proxy
Extremely high-performance CryptoNote stratum protocol proxy. Works with any pool and any miner with nicehash support. Can easily handle over 100K connections on a cheap $5 (1024 MB) virtual machine. Reduce the number of pool connections up to 256 times, 100K workers become just 391 workers on the pool side. Written on C++/libuv same as XMRig miner. -
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GitHub Actions for DigitalOcean
GitHub Actions for DigitalOcean - doctl
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Lance
Modern columnar data format for ML and LLMs implemented in Rust
Lance is a columnar data format that is easy and fast to version, query and train on. It’s designed to be used with images, videos, 3D point clouds, audio and of course tabular data. It supports any POSIX file systems, and cloud storage like AWS S3 and Google Cloud Storage. -
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cuML
RAPIDS Machine Learning Library
cuML is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects. cuML enables data scientists, researchers, and software engineers to run traditional tabular ML tasks on GPUs without going into the details of CUDA programming. In most cases, cuML's Python API matches the API from scikit-learn. For large datasets, these GPU-based implementations can complete 10-50x faster than their CPU... -
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parallel-ssh
Asynchronous parallel SSH client library.
parallel-ssh is an asynchronous parallel SSH library designed for large-scale automation. It differentiates itself from alternatives, other libraries and higher-level frameworks like Ansible or Chef in several ways. -
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Sysdig Inspect
A powerful opensource interface for container troubleshooting
Sysdig Inspect is a powerful opensource interface for container troubleshooting and security investigation. Inspect's user interface is designed to intuitively navigate the data-dense sysdig captures that contain granular system, network, and application activity of a Linux system. Sysdig Inspect helps you understand trends, correlate metrics and find the needle in the haystack. It comes packed with features designed to support both performance and security investigations, with deep container introspection. -
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Robusta KRR
Prometheus-based Kubernetes Resource Recommendations
Robusta KRR (Kubernetes Resource Recommender) is a CLI tool for optimizing resource allocation in Kubernetes clusters. It gathers pod usage data from Prometheus and recommends requests and limits for CPU and memory. This reduces costs and improves performance. -
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QuantumClifford.jl
Clifford circuits, graph states, and other quantum Stabilizer tools
A Julia package for working with quantum stabilizer states and Clifford circuits that act on them. Graphs states are also supported. The package is already very fast for the majority of common operations, but there are still many low-hanging fruits performance-wise. See the detailed suggested readings & references page for background on the various algorithms.
