Search Results for "+data flow"
Sort By:
25 projects for "+data flow" with 2 filters applied:
-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
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.
-
1
Barfi
A Python visual Flow Based Programming library
...Firstly, each Block has Input and Output interfaces that link to other Blocks. Each Block can carry an executable function, that is specified by the user. This function can access/get data from the Input interface, perform computations or calculations, and set the Output interface. In general, Barfi is an abstraction of Graphical Programming, Flow-Based Programming, or Node programming. Where the Block is synonymous to a Node, and a Link (connection) is synonymous with an Edge. There are many ways to call this, each serving a specific need or a philosophy. -
2
Store5
A Kotlin Multiplatform library for building network-resilient apps
...Store is a typed repository that returns a flow of Data /Loading /Error from local and network data sources. -
3
Rocket.jl
Functional reactive programming extensions library for Julia
Rocket.jl is a Julia package for reactive programming using Observables, to make it easier to work with asynchronous data. Rocket.jl has been designed with a focus on performance and modularity. -
4
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. Its distributed runtime manages synchronization, load balancing, and mixed-precision computation to maximize throughput while minimizing communication bottlenecks. ... -
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.
-
5
RxDart
The Reactive Extensions for Dart
RxDart is a reactive programming toolkit that augments Dart’s native Streams with a rich set of Rx-style operators and subjects. It offers composition primitives like map, where, debounce, throttle, merge, combineLatest, and switchMap, enabling expressive pipelines for events and async data. Subjects provide multicast behaviors so multiple listeners can share a single data source while maintaining semantics like replaying the latest value. By emphasizing immutability and one-way data flow, RxDart helps isolate side effects and makes complex state transitions easier to reason about. It’s widely used to coordinate UI events, network requests, and caching layers, especially when timing and concurrency are non-trivial. ... -
6
Comprehensive Python Cheatsheet
Comprehensive Python Cheatsheet
...The project is designed to help developers quickly recall language features without digging through full documentation, making it especially useful for both beginners and experienced programmers. It covers a broad range of topics including data structures, control flow, functions, object-oriented programming, standard library usage, and common patterns. The repository includes both web and printable versions, allowing users to access the material in multiple formats depending on their workflow. Because it is continuously maintained, the cheatsheet reflects modern Python usage and practical conventions. ... -
7
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... -
8
Acl
A powerful server and network library, including coroutine
The Acl (Advanced C/C++ Library) project a is powerful multi-platform network communication library and service framework, supporting LINUX, WIN32, Solaris, FreeBSD, MacOS, AndroidOS, iOS. Many applications written by Acl run on these devices with Linux, Windows, iPhone and Android and serve billions of users. There are some important modules in Acl project, including network communcation, server framework, application protocols, multiple coders, etc. The common protocols such as... -
9
librg
Making multi-player gamedev simpler since 2017
Making multi-player game dev simpler since 2017. Single-header cross-platform world replication in pure C99. librg is a lightweight library that serves as a middleware between data-transferring libraries (networking, file-streaming, etc.) and core application/game logic. The library was born to solve the complexities of setting up and managing the flow of multi-player games and dedicated game servers. It came a long way in stripping out things that were non-essential, slowly sculpting into its current form, which you are able to see and use today. ... -
Veeam Data Platform v13.1Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
10
DeepEP
DeepEP: an efficient expert-parallel communication library
...Its core role is to implement high-throughput, low-latency all-to-all GPU communication kernels, which handle the dispatching of tokens to different experts (or shards) and then combining expert outputs back into the main data flow. Because MoE architectures require routing inputs to different experts, communication overhead can become a bottleneck — DeepEP addresses that by providing optimized GPU kernels and efficient dispatch/combining logic. The library also supports low-precision operations (such as FP8) to reduce memory and bandwidth usage during communication. ... -
11
RSocket
Java implementation of RSocket
Application protocol providing Reactive Streams semantics. RSocket provides a protocol for Reactive Streams semantics between client-server, and server-server communication. RSocket is a binary protocol for use on byte stream transports such as TCP, WebSockets, and Aeron. RSocket is intended to be consumed via one of the various implementation libraries which implement the RSocket Protocol. By default to make RSocket easier to use it copies the incoming Payload. Copying the payload comes at... -
12
...It implements the event stream processing as a library embeddable in C++ and Perl. You can think of the Complex Event Processing engine as an in-memory database driven by triggers, or a data-flow machine, or a spreadsheet on steroids (and without the GUI part).
-
13
ALEPH-w
Data structures and Algorithms library
...Dynamic linear hash tables are implemented too. The main algorithms on graphs are implemented in an easy way and with good performance features. Network Flow (maximum and min cost), cut points, topological sort, spanning trees, min paths. etc. The graphs are generic in the sense that they can contain data independent of the algorithm. Several containers of the C++ STL library are implemented with Aleph-w. Their performance is better than GNU implementation -
14
Svelvet
A library for building dynamic, infinitely customizable interfaces
...Svelvet is a lightweight component library for building dynamic, customizable node graphs. Svelvet allows you to easily create intuitive user interfaces and diagrams with pre-built components with node-to-node data flow, seamless zooming and panning, customizable edges and nodes and more. Start mapping out your ideas with our NPM package. Simply provide your node data to the Svelvet component and you're ready to show off your interactive diagram - no extra configuration needed. Svelvet is written in TypeScript and tested with Vitest, Playwright and Svelte Testing Library. ... -
15
Flowy
The minimal javascript library to create flowcharts
flowy is a minimal JavaScript library for building interactive flowchart-style interfaces in web applications, allowing developers to create node-based editors, automation builders, or visual programming tools with relatively little code. It provides draggable, connectable blocks (nodes) that can be placed on a canvas, connected via lines, and rearranged dynamically while preserving the underlying graph structure. The library focuses on simplicity and aesthetics, offering a clean look out of... -
16
Svelte forms lib
A lightweight library for managing forms in Svelte
Svelte Forms lib is a Formik-inspired library for building forms easily in a Svelte project. When building modern web applications forms often play a big part in it. We use forms to log in, place orders, book flights and perform other data-entry tasks. In developing a form, it's important to create a flow that guides the user efficiently and effectively through the workflow. This library helps you build forms by exposing an easy API for form creation, validation and submission. -
17
CodeQL
Libraries and queries that power security researchers
CodeQL is a semantic code analysis engine that treats programs as queryable databases, enabling users to write expressive queries that identify security vulnerabilities, logic bugs, and code quality issues across large codebases. Instead of just pattern matching text, CodeQL ingests source code, builds rich representations of structure and data flow, and allows queries that reason about control flow, type systems, and interprocedural relationships. This makes it powerful not just for basic linting but for deep detection of complex security flaws like SQL injection, cross-site scripting, and taint propagation that traditional static analyzers can miss. CodeQL is used by security teams, developers, and open-source tooling to create reusable query libraries, enforce policy across repositories, and automate findings in CI/CD pipelines. -
18
BeaEngine 5
BeaEngine disasm project
BeaEngine is a C library designed to decode instructions from 16-bit, 32-bit and 64-bit intel architectures. It includes standard instructions set and instructions set from FPU, MMX, SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, VMX, CLMUL, AES, MPX, AVX, AVX2, AVX512 (VEX & EVEX prefixes), CET, BMI1, BMI2, SGX, UINTR, KL, TDX and AMX extensions. If you want to analyze malicious codes and more generally obfuscated codes, BeaEngine sends back a complex structure that describes precisely the... -
19
Incremental DOM
An in-place DOM diffing library
...It integrates naturally with template compilers (such as those that generate calls from HTML-like markup) but can also be used by hand for fine-tuned rendering. The library is small and focused: it manages element creation, attribute updates, and text nodes while leaving state management and data flow to the host framework. The result is predictable updates with minimal overhead, especially useful in performance-critical views. -
20
Highland
High-level streams library for Node.js and the browser
Highland is a JavaScript library designed to simplify working with streams and asynchronous data flows by providing a functional programming interface on top of Node.js streams. It allows developers to process data in a declarative and composable way, treating streams as sequences that can be transformed using familiar functional patterns such as map, filter, reduce, and flatMap. The library abstracts away much of the complexity of handling backpressure and asynchronous callbacks, enabling... -
21
Autologging
Easier logging and tracing of Python functions and class methods.
Autologging eliminates boilerplate logging setup code and tracing code, and provides a means to separate application logging from program flow and data tracing. Autologging provides two decorators and a custom log level: "autologging.logged" decorates a class to create a __log member. By default, the logger is named for the class's containing module and name (e.g. "my.module.ClassName"). "autologging.traced" decorates a class to provide automatic CALL/RETURN tracing for all class, static, and instance methods, as well as the special __init__ method (by default) "autologging.TRACE" is a custom log level (lower than logging.DEBUG) that is registered with the Python logging module when autologging is imported -
22
redux-rx
RxJS utilities for Redux
The redux-rx project is a utility library that integrates RxJS observables into Redux workflows, enabling reactive programming patterns for state management. It allows developers to represent streams of actions, state changes, and side effects as observable sequences, providing a powerful alternative to traditional middleware approaches. The library includes tools for creating smart components that derive their behavior from observable data streams instead of imperative state updates. It... -
23
EJS
Embedded JavaScript templates for node
...The idea is to avoid introducing a separate DSL for templating and instead use familiar JavaScript logic inside template tags to generate dynamic content. You write templates using <% %> scriptlet tags, <%= %> for output, and you can include other templates, pass data, and control flow with loops and conditionals. It’s fast because it compiles templates to JavaScript functions and caches them by default, so subsequent rendering is efficient. EJS supports both server-side render (in Node/Express) and client-side use in the browser, making it versatile for universal apps. Because you’re using raw JS, debugging is simple—the errors are standard JS stack traces with template line numbers included. ... -
24
SPARGEL
An opensource Java graph library. Abandoned, ignore.
...Because these maps are an individual implementation depending on the graph datastructure used, they are more memory efficient than using a Java HashMap. Currently spargel is in its early stages, but will soon support more tasks. As now, implemented are: * Adjecency graph data structures * Algorithms: SSSP, APSP, Traversal, Min-Cut, Max-Flow, Many types of finding Components * Creating sub graphs, vertice and edge maps that use a function to implement their mapping. Spargel is released under GPLv3 -
25
flow is a cross-platform headers-only C++11 framework which provides the building blocks for streaming data packets through a graph of data-transforming nodes
- Previous
- You're on page 1
- Next