Search Results for "+data flow" - Page 3
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Showing 125 open source projects for "+data flow"
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TextUS
A framework in which the system is defined by a xml file
...In tTextUS, a software system is composed of all kinds of modules which are some dll files (in MS Windows) or so files ( in Unix etc.). The system is defined by a xml file which describes the data flow and control flow of every module. -
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LuaRadio
A lightweight, embeddable software-defined radio framework
LuaRadio is a lightweight, embeddable flow graph signal processing framework for software-defined radio. It provides a suite of source, sink, and processing blocks, with a simple API for defining flow graphs, running flow graphs, creating blocks, and creating data types. LuaRadio is built on LuaJIT, has a small binary footprint of under 750 KB (including LuaJIT), has no external hard dependencies, and is MIT-licensed. -
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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... -
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Transporter
Sync data between persistence engines, like ETL only not stodgy
...Support for other DBs will be added later on. Other adaptors may or may not work. You're encouraged to still use v0.5.2 for non mongo/postgres migrations. Transporter allows the user to configure a number of data adaptors as sources or sinks. These can be databases, files or other resources. Data is read from the sources, converted into a message format, and then send down to the sink where the message is converted into a writable format for its destination. The user can also create data transformations in JavaScript which can sit between the source and sink and manipulate or filter the message flow. ... -
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Riverpod
A reactive caching and data-binding framework
Riverpod is a modern, framework-agnostic state management and dependency injection library for Dart and Flutter that emphasizes compile-time safety and explicit data flow. Instead of tying state to widget trees, it models state as providers that can be read anywhere, making logic more testable and decoupled from UI. It supports synchronous state, async data (futures/streams) with built-in loading/error handling, and advanced patterns like derived state and provider scopes. Riverpod’s design reduces rebuilds by letting widgets depend on fine-grained slices of state, which leads to predictable performance in complex apps. ... -
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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. -
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Flux
Application architecture for building user interfaces
Flux is the application architecture that Facebook uses for building client-side web applications. It complements React's composable view components by utilizing a unidirectional data flow. It's more of a pattern rather than a formal framework, and you can start using Flux immediately without a lot of new code. Flux applications have three major parts: the dispatcher, the stores, and the views (React components). These should not be confused with Model-View-Controller. Controllers do exist in a Flux application, but they are controller-views — views often found at the top of the hierarchy that retrieve data from the stores and pass this data down to their children. ... -
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Trojan-Go
A Trojan proxy written in Go
In the early days, the firewall only intercepted and reviewed outbound traffic, that is,Passive detection. Shadowsoks' encryption protocol design makes the transmitted data package itself have almost no characteristics, and it looks similar to a completely random bitflow, which can indeed effectively bypass GFW in the early days. Contrary to Shadowsoks, Trojan does not use self-defined encryption protocols to hide itself. On the contrary, the clearly characterized TLS protocol (TLS/SSL) is used to make the flow look the same as the normal HTTPS website. ... -
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MVIKotlin
Extendable MVI framework for Kotlin Multiplatform
Extendable MVI framework for Kotlin Multiplatform with powerful debugging tools (logging and time travel) MVI stands for Model-View-Intent. It is an architectural pattern that utilizes unidirectional data flow. The data circulates between Model and View only in one direction, from Model to View and from View to Model. MVIKotlin is a Kotlin Multiplatform framework that provides a way of (not only) writing shared code using MVI pattern. It also includes powerful debug tools like logging and time travel. MVIKotlin does not bring or enforce any particular architecture. ... -
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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. -
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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... -
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Forecasting Best Practices
Time Series Forecasting Best Practices & Examples
Time series forecasting is one of the most important topics in data science. Almost every business needs to predict the future in order to make better decisions and allocate resources more effectively. This repository provides examples and best practice guidelines for building forecasting solutions. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in forecasting algorithms to build solutions and operationalize them. Rather than... -
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Shipit
Universal automation and deployment tool
Install shipit command line tools and shipit-deploy in your project. Shipit is an automation engine and a deployment tool. Shipit provides a good alternative to Capistrano or other build tools. It is easy to deploy or to automate simple tasks on your remote servers. Shipit emits the init event once initialized, before any tasks are run. You can add custom event and listen to events. You can overwrite all default variables defined as part of the default object. If you can't call... -
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OAuth2
OAuth2 framework for macOS and iOS, written in Swift
OAuth2 frameworks for macOS, iOS, and tvOS written in Swift 5.0. OAuth2 requires Xcode 10.2, the built framework can be used on OS X 10.11 or iOS 8 and later. Happy to accept pull requests, please see CONTRIBUTING.md. Since the Swift language is constantly evolving I have adopted a versioning scheme mirroring Swift versions: the framework version's first two digits are always the Swift version the library is compatible with, see releases. Code compatible with brand-new Swift versions should... -
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TP-COBOL-DEBUGGER
A COBOL debugger for GnuCOBOL/OpenCOBOL written in GnuCOBOL
A COBOL debugger for GnuCOBOL written in GnuCOBOL. Works with both current GnuCOBOL and old GnuCOBOL/OpenCOBOL 1.1; could be used for other vendors with slightly modifications, too. Take a look at https://gnucobol.altervista.org/tp-cobol-debugger/ -
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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. -
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I3D models trained on Kinetics
Convolutional neural network model for video classification
...The I3D model extends the 2D convolutional structure of Inception-v1 into 3D, allowing it to capture spatial and temporal information from videos for action recognition. This repository includes pretrained I3D models on the Kinetics dataset, with both RGB and optical flow input streams. The models have achieved state-of-the-art results on benchmark datasets such as UCF101 and HMDB51, and also won first place in the CVPR 2017 Charades Challenge. The project provides TensorFlow and Sonnet-based implementations, pretrained checkpoints, and example scripts for evaluating or fine-tuning models. It also offers sample data, including preprocessed video frames and optical flow arrays, to demonstrate how to run inference and visualize outputs. -
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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... -
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GoJay
high performance JSON encoder/decoder with stream API for Golang
...I looked at other fast decoders/encoders and realized it was mostly hardly readable static code generation or a lot of reflection had poor streaming features and were not so fast in the end. Also, I wanted to build a decoder that could consume an io.Reader of line or comma delimited JSON, in a JIT way. To consume a flow of JSON objects from a TCP connection for example or from a standard output. The same way I wanted to build an encoder that could encode a flow of data to a io.Writer. -
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Pipelines
An experimental programming language for data flow
Pipelines is a language and runtime for crafting massively parallel pipelines. Unlike other languages for defining data flow, the Pipeline language requires the implementation of components to be defined separately in the Python scripting language. This allows the details of implementations to be separated from the structure of the pipeline while providing access to thousands of active libraries for machine learning, data analysis, and processing. -
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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 -
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MixItUp 3
Library for animated filtering, sorting, insertion, removal and more
...Targets can be filtered using any valid selector e.g. '.category-a', and are sorted via optional custom data attributes e.g. 'data-order'. -
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Command-line/Ant-task/embeddable text file preprocessor. Macros, flow control, expressions. Recursive directory processing. Extensible in Java to display data from any data sources (as database). Can generate complete homepages (tree of HTML-s, images, etc.)
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Data/Document WF
Data/Document Work Flow application
Data/Document Work Flow is a set of .NET C# libraries to build simple cross-platform information system: - DataWF.Common - collections, reflections, io and networks helpers - DataWF.Data - cross RDBMS ORM - DataWF.Gui - Xwt based desktop UI - DataWF.Data.Gui - Database desktop UI - DataWF.Module.Flow - Document work flow module - DataWF.Mudule.FlowGui - Configure, create, edit, send document throw the flow Sources: https://github.com/alexandrvslv/datawf -
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Tangent
Source-to-source debuggable derivatives in pure Python
Existing libraries implement automatic differentiation by tracing a program's execution (at runtime, like PyTorch) or by staging out a dynamic data-flow graph and then differentiating the graph (ahead-of-time, like TensorFlow). In contrast, Tangent performs ahead-of-time autodiff on the Python source code itself, and produces Python source code as its output. Tangent fills a unique location in the space of machine learning tools. As a result, you can finally read your automatic derivative code just like the rest of your program. ...