Search Results for "complex function plotter"
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Showing 132 open source projects for "complex function plotter"
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Payload
Free and Open-source Headless CMS and Application Framework
... powers extremely complex and fully featured web apps of every shape and size. It's the perfect back-office CMS for eCommerce sites, SaaS, video game backends, and more. Implement Payload’s Authentication and content management within any native app you can dream up and automatically deliver product owners a beautiful UI to manage their apps with. Nothing is imposed on the structure of your app. Just initialize Payload and pass it your Express app. -
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PlotJuggler
The Time Series Visualization Tool that you deserve
Fast, intuitive, and extensible time series visualization tool. Its Drag & Drop interface is designed to maximize both simplicity and speed. PlotJuggler is perfect for visualizing logs, offline and real-time data, and it can be used in multiple fields. PlotJuggler can be connected to an external application using any inter-process communication and display data in real time. Thanks to its plugin-based architecture, it is easy to add new data sources and functionalities. If needed, you can... -
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NetworkX
Network analysis in Python
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Data structures for graphs, digraphs, and multigraphs. Many standard graph algorithms. Network structure and analysis measures. Generators for classic graphs, random graphs, and synthetic networks. Nodes can be "anything" (e.g., text, images, XML records). Edges can hold arbitrary data (e.g., weights, time-series). Open source 3-clause BSD license. Well tested... -
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DearPyGui
Graphical User Interface Toolkit for Python with minimal dependencies
Dear PyGui is an easy-to-use, dynamic, GPU-Accelerated, cross-platform graphical user interface toolkit(GUI) for Python. It is “built with” Dear ImGui. Features include traditional GUI elements such as buttons, radio buttons, menus, and various methods to create a functional layout. Additionally, DPG has an incredible assortment of dynamic plots, tables, drawings, debuggers, and multiple resource viewers. DPG is well suited for creating simple user interfaces as well as developing complex... -
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OpenAI-Java
OpenAI Api Client in Java
...(...) to send requests in a type-safe way. The library also supports streaming APIs, where the response arrives in chunks, using helpers like ChatCompletionAccumulator to accumulate partial responses into a full object. For complex use cases (e.g. structured outputs, function calling), it provides schema support, JSON annotations, and schema validation. -
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Dive
Dive is an open-source MCP Host Desktop Application
Dive is an open‑source MCP host desktop application that serves as a bridge between MCP servers and any large language models supporting function calling, designed to deliver a seamless AI agent experience across environments. Compatible with ChatGPT, Anthropic, Ollama and OpenAI-compatible models. Enabling seamless MCP AI agent integration on both stdio and SSE mode. One-click access to managed MCP servers via OAPHub.ai - eliminates complex local deployments. Modern Tauri version alongside... -
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Qwen-Agent
Agent framework and applications built upon Qwen>=3.0
Qwen-Agent is a framework for building applications / agents using Qwen models (version 3.0+). It provides components for instruction following, tool usage (function calling), planning, memory, RAG (retrieval augmented generation), code interpreter, etc. It ships with example applications (Browser Assistant, Code Interpreter, Custom Assistant), supports GUI front-ends, backends, server setups. Agent workflow can maintain context / memory to perform multi-turn or more complex logic over time... -
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Marvin
A batteries-included library for building AI-powered software
Meet Marvin: a batteries-included library for building AI-powered software. Marvin's job is to integrate AI directly into your codebase by making it look and feel like any other function. Marvin introduces a new concept called AI Functions. These functions differ from conventional ones in that they don’t rely on source code, but instead generate their outputs on-demand through AI. With AI functions, you don't have to write complex code for tasks like extracting entities from web pages, scoring... -
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GLM-4
GLM-4 series: Open Multilingual Multimodal Chat LMs
GLM-4 is a family of open models from ZhipuAI that spans base, chat, and reasoning variants at both 32B and 9B scales, with long-context support and practical local-deployment options. The GLM-4-32B-0414 models are trained on ~15T high-quality data (including substantial synthetic reasoning data), then post-trained with preference alignment, rejection sampling, and reinforcement learning to improve instruction following, coding, function calling, and agent-style behaviors. The GLM-Z1-32B-0414... -
No-Nonsense Code-to-Cloud Security for Devs | AikidoAikido provides a unified security platform for developers, combining 12 powerful scans like SAST, DAST, and CSPM. AI-driven AutoFix and AutoTriage streamline vulnerability management, while runtime protection blocks attacks.
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JavaScript Obfuscator
A powerful obfuscator for JavaScript and Node.js
javascript-obfuscator is a Node.js library and CLI that transforms readable JavaScript into hardened, difficult-to-reverse code. It applies techniques such as identifier mangling, string array extraction/encoding, control-flow flattening, dead-code injection, and numeric literal transformations to disguise intent. Advanced options include self-defending code, domain locking, debug/console protection, and property key transformation, allowing you to tailor defenses to your threat model. The... -
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Redux
A Predictable State Container for JavaScript apps
... was inspired), Redux only has a single store for the object tree where the whole state of your app is stored. This store has a single root reducing function. As your app grows, instead of adding stores you split the root reducer into smaller ones that work independently on different parts of the state tree. This architecture allows for scaling well to large and complex apps, and also enables very powerful developer tools. -
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magentic
Seamlessly integrate LLMs as Python functions
Easily integrate Large Language Models into your Python code. Simply use the @prompt and @chatprompt decorators to create functions that return structured output from the LLM. Mix LLM queries and function calling with regular Python code to create complex logic. -
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Redux Thunk
Thunk middleware for Redux
Redux Thunk is Thunk middleware for Redux. With basic Redux, only simple synchronous updates can be done by dispatching an action. By adding middleware, you extend the Redux store's abilities, enabling you to write async logic that interacts with the store. A thunk is a function that wraps an expression in order to delay its evaluation. Redux Thunk middleware allows you to write action creators that, rather than return an action will return a function instead. If you want to delay... -
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Scany
Library for scanning data from a database into Go structs and more
Go favors simplicity, and it's pretty common to work with a database via driver directly without any ORM. It provides great control and efficiency in your queries, but here is a problem: you need to manually iterate over database rows and scan data from all columns into a corresponding destination. It can be error-prone verbose and just tedious. scany aims to solve this problem. It allows developers to scan complex data from a database into Go structs and other composite types with just one... -
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go-fastdfs
Go-fastdfs is a simple distributed file system
Provide users with the simplest, reliable and efficient distributed file system. There are many open source distributed files and powerful functions. Solve the complex problems of software architecture. Solve the problem of deployment and maintenance of Yunwei. Solve the complex problem of use. go-fastdfs is a distributed file system based on the http protocol. It is based on the design concept of avenue to simplicity. Everything is simple to design, making its operation and expansion easier... -
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ControlSystems.jl
A Control Systems Toolbox for Julia
ControlSystems.jl is a Julia toolbox for control systems design and analysis, offering models in transfer-function and state-space representations, enabling construction of complex systems, simulation in time and frequency domains, and performance/stability evaluation. This toolbox works similar to that of other major computer-aided control systems design (CACSD) toolboxes. Systems can be created in either a transfer function or a state space representation. These systems can then be combined... -
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Symfony ExpressionLanguage
Provides an engine that can compile and evaluate expressions
Symfony ExpressionLanguage is a powerful component that evaluates expressions written in a simple language. It allows developers to write dynamic expressions that can be evaluated at runtime, making it useful for configuration, validation, and business rule processing. ExpressionLanguage is versatile and integrates seamlessly with other Symfony components, enhancing the flexibility of complex applications. -
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gopy
gopy generates a CPython extension module from a go package
... extensively on reproducing complex Go code in large libraries -- most stuff "just works". For example, the GoGi GUI library is fully usable from python now (do make; make install in the python directory there, and try the examples/widgets/widgets.py demo). Callback methods from Go into Python now work: you can pass a python function to a Go function that has a function argument, and it will call the python function appropriately. -
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Stagehand
An AI web browsing framework focused on simplicity and extensibility
An AI web browsing framework focused on simplicity and extensibility. Stagehand is the AI-powered successor to Playwright, offering three simple APIs (act, extract, and observe) that provide the building blocks for natural language-driven web automation. The goal of Stagehand is to provide a lightweight, configurable framework, without overly complex abstractions, as well as modular support for different models and model providers. It's not going to order you a pizza, but it will help you... -
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JuliaConnectoR
A functionally oriented interface for calling Julia from R
..., and translated to Julia data structures by Julia. The results of function calls are likewise translated back to R. Complex Julia structures can either be used by reference via proxy objects in R or fully translated to R data structures. -
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NVIDIA AgentIQ
The NVIDIA AgentIQ toolkit is an open-source library
NVIDIA AgentIQ is an open-source toolkit designed to efficiently connect, evaluate, and accelerate teams of AI agents. It provides a framework-agnostic platform that integrates seamlessly with various data sources and tools, enabling developers to build composable and reusable agentic workflows. By treating agents, tools, and workflows as simple function calls, AgentIQ facilitates rapid development and optimization of AI-driven applications, enhancing collaboration and efficiency in complex... -
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HCubature.jl
Pure-Julia multidimensional h-adaptive integration
... space). You can integrate real, complex, and matrix-valued integrands, for example. Note that HCubature assumes that your function f(x) can be computed at arbitrary points in the integration domain. (This is the ideal way to do numerical integration.) If you instead have f(x) precomputed at a fixed set of points, such as a Cartesian grid, you will need to use some other method (e.g. Trapz.jl for a multidimensional trapezoidal rule). -
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EconML
Python Package for ML-Based Heterogeneous Treatment Effects Estimation
EconML is a Python package for estimating heterogeneous treatment effects from observational data via machine learning. This package was designed and built as part of the ALICE project at Microsoft Research with the goal of combining state-of-the-art machine learning techniques with econometrics to bring automation to complex causal inference problems. One of the biggest promises of machine learning is to automate decision-making in a multitude of domains. At the core of many data-driven... -
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Yuki Hook API
An efficient Hook API and Xposed Module solution built in Kotlin
An efficient Hook API and Xposed Module solution built in Kotlin. The automatic builder can help you quickly create an Xposed Module, automatic configure the entry class and xposed_init files. A powerful, elegant, beautiful API built with Kotlin lambda can help you quickly implement method Hook and more convenient functions. A rich debug log function, detailing the name of each hooked method, time-consuming to find the class can quickly debug and find errors. Natively supports multiple Xposed... -
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Measurements.jl
Error propagation calculator and library for physical measurements
Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration. Physical measures are typically reported with an error, a quantification of the uncertainty of the accuracy of the measurement. Whenever you perform mathematical operations involving these quantities you have also to propagate the uncertainty, so that the resulting number will also have...
