Search Results for "complex function plotter"
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Showing 185 open source projects for "complex function plotter"
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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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Exoframe
A self-hosted tool that allows simple one-command deployment
Exoframe is a self-hosted tool that allows simple one-command deployments using Docker. Simple function deployments. Multiple deployment endpoints and multi-user support. Simple update procedure for client, server and Traefik. Optional automatic subdomain assignment (i.e. every deployment gets its own subdomain). Swarm mode deployments. Complex recipes support (i.e. deploy complex systems in one command). -
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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 sentiment, or categorizing items in your database. ... -
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Scany
Library for scanning data from a database into Go structs and more
...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 function call and doesn't bother with row iteration. -
Collect! is a highly configurable debt collection softwareThe flexible & scalable debt collection software built to automate your workflow. From startup to enterprise, we have the solution for you.
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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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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. -
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Mangle
Go library for Datalog-style logical reasoning and domain modeling
Mangle is a programming language developed by Google for deductive database programming, serving as an advanced extension of Datalog. It is designed to unify and query data from multiple sources in a structured, declarative way while allowing developers to model complex relationships and domain knowledge beyond binary predicates. Mangle enhances traditional Datalog by introducing features such as aggregation, function calls, and optional type-checking, which make it more practical for modern data-intensive applications. Unlike SQL, Mangle’s declarative syntax naturally supports recursion and modular program structure, making it suitable for representing hierarchical or interconnected datasets like dependency graphs or knowledge graphs. ... -
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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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SwissGL
SwissGL is a minimalistic wrapper on top of WebGL2 JS API
...Acting as a "Swiss Army knife" for WebGL2, it simplifies shader, texture, and framebuffer management into a single, expressive interface that enables developers to write complex GPU workflows in just a few lines of code. The library centers around one main function that unifies rendering and compute operations, allowing the creation of particle systems, GPGPU effects, and real-time simulations entirely on the GPU. Despite its simplicity and small size (under 1000 lines of code), SwissGL demonstrates remarkable flexibility, from basic visual experiments to complex multi-pass rendering pipelines. ... -
The AI workplace management platformBy combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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Tree
tree is a library for working with nested data structures
Tree (dm-tree) is a lightweight Python library developed by Google DeepMind for manipulating nested data structures (also called pytrees). It generalizes Python’s built-in map function to operate over arbitrarily nested collections — including lists, tuples, dicts, and custom container types — while preserving their structure. This makes it particularly useful in machine learning pipelines and JAX-based workflows, where complex parameter trees or hierarchical state representations are common. The library provides efficient operations such as flatten, unflatten, and map_structure, enabling users to apply functions to all leaves of a nested structure seamlessly. ... -
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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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NVIDIA AgentIQ
The NVIDIA AgentIQ toolkit is an open-source library
...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 tasks. -
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Payload
Free and Open-source Headless CMS and Application Framework
Payload has, hands-down, the best developer experience out of any headless CMS. Build whatever you need, however you want, and never hit a functionality roadblock. Payload is the go-to headless CMS for websites, SaaS apps, native apps, and anything else you need to build. Power any website, from enterprise to personal portfolio with Payload as a headless CMS. Its powerful version system and layout-building functionality unlocks the best CMS experience for your editors on the market. Payload... -
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OpenAI
Swift community driven package for OpenAI public API
...The SDK supports a wide range of features including chat completions, embeddings, image generation, audio processing, and structured outputs, making it a comprehensive toolkit for building AI-powered applications. It also includes support for advanced features such as function calling, assistants, and tool integration through protocols like Model Context Protocol, enabling more complex and interactive AI workflows. -
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HCubature.jl
Pure-Julia multidimensional h-adaptive integration
...Because hcubature is written purely in Julia, the integrand f(x) can return any vector-like object (technically, any type supporting +, -, * real, and norm: a Banach 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. ... -
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NetworkX
Network analysis in Python
...Additional benefits from Python include fast prototyping, easy to teach, and multi-platform. Find the shortest path between two nodes in an undirected graph. Python’s None object is not allowed to be used as a node. It determines whether optional function arguments have been assigned in many functions. And it can be used as a sentinel object meaning “not a node”. -
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LLMCompiler
An LLM Compiler for Parallel Function Calling
LLMCompiler is an open-source framework designed to optimize how large language models orchestrate multiple external tool or function calls during complex reasoning tasks. Traditional LLM agent systems typically execute tool calls sequentially, which can create latency, higher costs, and reduced reliability when solving multi-step problems. LLMCompiler addresses this limitation by applying principles from classical compilers to analyze a task and construct an execution plan that allows multiple functions to run in parallel whenever possible. ... -
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InkOS
Autonomous novel writing CLI AI Agent
...The system organizes multiple specialized agents that collaborate in stages, including drafting, reviewing, editing, and refining text, with optional human checkpoints to ensure quality and coherence. Its architecture reflects a pipeline approach where each agent contributes a specific function, allowing iterative improvement rather than single-pass generation. This design makes it particularly suited for complex storytelling tasks that require consistency, tone management, and structural planning across long outputs. The platform likely incorporates feedback loops where agents critique and revise each other’s work, simulating editorial processes found in traditional publishing. ... -
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Go Jsonnet
This an implementation of Jsonnet in pure Go
go-jsonnet is a pure Go implementation of the Jsonnet data templating language, which extends JSON with variables, functions, imports, and a standard library so you can generate complex configuration safely. Instead of hand-maintaining massive JSON files, you write concise, reusable templates that evaluate to JSON or YAML, with deterministic semantics and rich error messages. The repository ships both an embeddable VM for Go programs and a command-line interpreter, making it easy to... -
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C++ Complex Calculator
C++ complex calculator with arrays, matrices, eigenvectors, functions
...A hash table is used to do fast variable and function lookup (they are entries in the same table). Collisions are handled in the hash table by making each entry a linked list. Written as C++ classes using the STL libraries <complex> and <vector>. The Numerical Recipes routines zroots and laguer rewritten in C++ find the complex roots of a polynomial with complex coefficients. -
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Typer
Typer, build great CLIs, based on Python type hints
...Minimize code duplication. Multiple features from each parameter declaration. Fewer bugs. The simplest example adds only 2 lines of code to your app: 1 import, 1 function call. Grow in complexity as much as you want, create arbitrarily complex trees of commands and groups of subcommands, with options and arguments. And it's intended to be the FastAPI of CLIs. Typer stands on the shoulders of a giant. Its only internal dependency is Click. -
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EmDash
EmDash is a full-stack TypeScript CMS based on Astro
...It emphasizes modularity and extensibility, allowing developers to define custom content types, editing experiences, and workflows tailored to their needs. The system likely includes a rich editing interface, enabling users to create complex documents with structured data and formatting. It separates content from presentation, making it easier to reuse and distribute content across different platforms. The architecture supports integration with APIs and external services, enabling it to function as part of a larger content ecosystem. It is particularly useful for applications that require dynamic content management and scalable publishing workflows. ... -
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Recordly
Recordly is an open‑source screen recorder for MacOS/Windows/Linux
...The project focuses on simplicity and speed, allowing users to record interactions or data streams with minimal configuration while maintaining clarity and usability. It appears to function as a logging or session recording utility that can be used for debugging, auditing, or documenting workflows. The design philosophy emphasizes minimal friction, meaning users can start recording quickly and retrieve information efficiently without navigating complex interfaces. Its architecture likely supports extensibility, enabling integration with different environments or tools. ... -
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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 traditional Electron version for optimal performance. -
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JuliaConnectoR
A functionally oriented interface for calling Julia from R
...From a technical perspective, R data structures are serialized with an optimized custom streaming format, sent to a (local) Julia TCP server, 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.
