Search Results for "network data speed" - Page 3
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Showing 765 open source projects for "network data speed"
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Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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Lightspeed golf course management softwareFrom tee sheet management, point of sale and payment processing to marketing, automation, reporting and more—Lightspeed is built for the pro shop, restaurant, back office, beverage cart and beyond.
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ReductStore
The fastest time series object store for Edge AI
History storage and management of images, vibration data, text, labels, and more - all in one place with the highest performance. Merge blob and time series functionalities, reducing the need for multiple databases. Customize real-time data retention policies and replication strategies. Store billions of time-stamped blobs with AI labels and access them with low latency. Outperform other databases with a customized solution for time-series object data. Capture and access blob data as time... -
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CoreNet
CoreNet: A library for training deep neural networks
CoreNet is Apple’s internal deep learning framework for distributed neural network training, designed for high scalability, low-latency communication, and strong hardware efficiency. It focuses on enabling large-scale model training across clusters of GPUs and accelerators by optimizing data flow and parallelism strategies. CoreNet provides abstractions for data, tensor, and pipeline parallelism, allowing models to scale without code duplication or heavy manual configuration. ... -
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OpenNMS
Enterprise-Grade Open-Source Network Management Platform
OpenNMS is an open-source network monitoring platform that helps you visualize and monitor everything on your local and distributed networks. OpenNMS offers comprehensive fault, performance, and traffic monitoring with alarm generation in one place. Highly customizable and scalable, OpenNMS integrates with your core business applications and workflows. -
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xxHash
Extremely fast non-cryptographic hash algorithm
xxHash is an extremely fast non-cryptographic hash algorithm, working at RAM speed limit. It is proposed in four flavors (XXH32, XXH64, XXH3_64bits and XXH3_128bits). The latest variant, XXH3, offers improved performance across the board, especially on small data. It successfully completes the SMHasher test suite which evaluates collision, dispersion and randomness qualities of hash functions. Code is highly portable, and hashes are identical across all platforms (little / big endian). ... -
Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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TensorFlow.js
TensorFlow.js is a library for machine learning in JavaScript
...Comfortable with concepts like Tensors, Layers, Optimizers and Loss Functions (or willing to get comfortable with them)? TensorFlow.js provides flexible building blocks for neural network programming in JavaScript. -
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The Futhark Programming Language
A data-parallel functional programming language
...The language supports regular nested data-parallelism, as well as a form of imperative-style in-place modification of arrays, while still preserving the purity of the language via the use of a uniqueness type system. While the Futhark language and compiler is an ongoing research project, it is quite usable for real programming and can compile nontrivial programs which then run on real machines at high speed. -
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BTree implementation for Go
BTree provides a simple, ordered, in-memory data structure for Go
This package is a high-performance, in-memory B-tree for Go that implements an ordered set/map with efficient insert, delete, and range iteration. It’s parameterized by tree degree so callers can tune cache behavior and memory overhead for their workload. Instead of relying on Go’s built-in maps—which are hash-based and unordered—btree preserves sorted order and provides rich traversal APIs like ascending, descending, and range scans. The implementation favors minimal allocations and... -
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Shumai
Fast Differentiable Tensor Library in JavaScript & TypeScript with Bun
Shumai is an experimental differentiable tensor library for TypeScript and JavaScript, developed by Facebook Research. It provides a high-performance framework for numerical computing and machine learning within modern JavaScript runtimes. Built on Bun and Flashlight, with ArrayFire as its numerical backend, Shumai brings GPU-accelerated tensor operations, automatic differentiation, and scientific computing tools directly to JavaScript developers. It allows seamless integration of machine... -
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Emitter
High performance, distributed, low latency publish-subscribe platform
...Moreover, Emitter is perfect for the internet of things and allows sensors to be controlled and data gathered and analyzed. Built to handle millions of messages per second and to scale horizontally. Uses standard MQTT protocol, binary messages and supports message filtering. Designed to ensure reliable, speed-of-light message delivery and high throughput. Supports TLS encryption, binary messages, expirable channel keys and permissions. -
The Original Buy Center Software.VAN sources private-party vehicles from over 20 platforms and provides all necessary tools to communicate with sellers and manage opportunities. Franchise and Independent dealers can boost their buy center strategies with our advanced tools and an experienced Acquisition Coaching™ team dedicated to your success.
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Tokio
A runtime for writing reliable asynchronous applications with Rust
Build reliable network applications without compromising speed, with Tokio! Tokio is an event-driven, non-blocking I/O platform and asynchronous runtime for the Rust programming language that allows you to write reliable and slim network applications. At a high level, Tokio provides a number of components needed for building asynchronous applications. -
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Map of GitHub
Inspirational Mapping
...The project processes GitHub account metadata and GPS or location information (when available) to plot users’ locations and draw connections between communities, resulting in an exploratory visualization where density and network effects become instantly visible. Users can zoom in to explore hotspots like major metropolitan areas or zoom out to see global patterns of activity, making it both a data analytics tool and a piece of data art. The map highlights where developers live, where projects originate, and how open-source participation varies around the world, offering insights into the geography of technology culture and innovation. -
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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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wagmi
React Hooks for Ethereum
wagmi is a collection of React Hooks containing everything you need to start working with Ethereum. wagmi makes it easy to "Connect Wallet," display ENS and balance information, sign messages, interact with contracts, and much more, all with caching, request deduplication, and persistence. We create a wagmi Client and pass it to the WagmiConfig React Context. The client is set up to use the ethers Default Provider and automatically connect to previously connected wallets. Next, we use the... -
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libdatachannel
C/C++ WebRTC network library featuring Data Channels, Media Transport
libdatachannel is a C++ library that implements WebRTC DataChannels and ICE transports, enabling peer-to-peer communication without relying on media components. It is ideal for developers who want efficient, low-latency P2P communication for data transmission in IoT, multiplayer games, decentralized apps, or custom signaling architectures. Built for performance and minimalism, it allows fine-grained control over STUN, TURN, DTLS, and SCTP layers, with a clean and modern C++ interface. -
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Binaryen
Compiler infrastructure and toolchain library for WebAssembly
...Binaryen has a simple C API in a single header, and can also be used from JavaScript. It accepts input in WebAssembly-like form but also accepts a general control flow graph for compilers that prefer that. Binaryen's internal IR uses compact data structures and is designed for completely parallel codegen and optimization, using all available CPU cores. Binaryen's IR also compiles down to WebAssembly extremely easily and quickly because it is essentially a subset of WebAssembly. Binaryen's optimizer has many passes (see an overview later down) that can improve code size and speed. ... -
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Aeson
A fast Haskell JSON library
aeson is a high-performance Haskell library for JSON parsing and encoding, optimized for speed and ease of use. It serves as a foundational tool in the Haskell ecosystem for handling JSON data efficiently. High-performance optimized for real-world workloads. Widely used and well-maintained community library. Compatible with popular frameworks and the Haskell web ecosystem. Easy-to-use API (e.g., FromJSON, ToJSON typeclasses). -
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Piccolo
A fast, user friendly ORM and query builder which supports asyncio
Piccolo is a modern, fast, and type-safe ORM for Python, designed with developer ergonomics in mind. It provides a clean syntax for defining schemas and building queries while supporting both sync and async execution. With built-in admin tools and rich introspection, Piccolo is suitable for web apps, APIs, and small-to-medium scale backends that prioritize clarity and speed. -
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Emoji Mart
One component to pick them all
Data required for the picker to work has been completely decoupled from the library. That gives developers the flexibility to better control their app bundle size and let them choose how and when this data is loaded. Callback when the Add custom emoji button is clicked. The button will only be displayed if this callback is provided. It is displayed when search returns no results. You can use custom emojis by providing an array of categories and their emojis. Emojis also support multiple skin... -
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Loggie
A lightweight, cloud-native data transfer agent and aggregator
Loggie is a lightweight, high-performance, cloud-native agent and aggregator based on Golang. Loggie includes LogConfig/ClusterLogConfig/Interceptor/Sink CRDs, allowing for the creation of data collection, transfer, processing, and sending pipelines through simple YAML file creation. Supports deployment as an independent intermediate machine, which can receive aggregated data sent by Loggie Agent and can also be used to consume and process various data sources. Configure Filebeat and Loggie to collect logs, and send them to a Kafka topic without using client compression, with the Kafka topic partition configured as 3. ... -
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DocArray
The data structure for multimodal data
...The foundation data structure of Jina, CLIP-as-service, DALL·E Flow, DiscoArt etc. Data science powerhouse: greatly accelerate data scientists’ work on embedding, k-NN matching, querying, visualizing, evaluating via Torch/TensorFlow/ONNX/PaddlePaddle on CPU/GPU. Data in transit: optimized for network communication, ready-to-wire at anytime with fast and compressed serialization in Protobuf, bytes, base64, JSON, CSV, DataFrame. -
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Stock prediction deep neural learning
Predicting stock prices using a TensorFlow LSTM
Predicting stock prices can be a challenging task as it often does not follow any specific pattern. However, deep neural learning can be used to identify patterns through machine learning. One of the most effective techniques for series forecasting is using LSTM (long short-term memory) networks, which are a type of recurrent neural network (RNN) capable of remembering information over a long period of time. This makes them extremely useful for predicting stock prices. Predicting stock... -
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JetPackMvvm
A Jetpack combined with the MVVM rapid development framework
A Jetpack combined with the MVVM rapid development framework, based on the MVVM model to integrate the JetPack component library officially recommended by Google: LiveData, ViewModel, Lifecycle, and Navigation components use Kotlin language, add a lot of extension functions, simplify the code and add Retrofit network requests, coroutines, to help you Simplify various operations, allowing you to quickly develop projects. The sample format is the data format returned by the Android Api. If the errorCode is equal to 0, the request is successful, otherwise the request fails. From the developer's point of view, we mainly want to get the unpacking data-data, and we don't want to judge errorCode==0 every time. ... -
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Lexbor
Lexbor is development of an open source HTML Renderer library
Lexbor is the development of a web browser engine available as a software library; it ships with a free license and has no extra dependencies. For us, speed is an absolute must-have. In our development process, we focus on fastest parsing techniques for HTML, CSS, and fonts, fastest data processing methods, and fastest ways to serve content to end users. Whether you are building a backend that handles millions of HTML documents or a UI-heavy user app, your software’s response rate always matters to users and developers alike. ... -
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systemd
The systemd system and service manager
systemd is a suite of basic building blocks for a Linux system. It provides a system and service manager that runs as PID 1 and starts the rest of the system. systemd provides aggressive parallelization capabilities, uses socket and D-Bus activation for starting services, offers on-demand starting of daemons, keeps track of processes using Linux control groups, maintains mount and automount points, and implements an elaborate transactional dependency-based service control logic. systemd... -
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Sysdig
Linux system exploration and troubleshooting tool
Continuously assess cloud security posture by flagging misconfigurations and suspicious activity. Consolidate container and host scanning in a single workflow. Automate scanning locally in your CI/CD tools without images leaving your environment and block vulnerabilities pre-deployment. Visualize all network communication across apps and services. Apply microsegmentation by automating Kubernetes-native network policies. Unify threat detection and incident response across containers,...
