Search Results for "complex function plotter" - Page 2
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Showing 189 open source projects for "complex function plotter"
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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1
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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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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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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Ibis
Expressive analytics in Python at any scale
...All tables in Ibis are immutable. To select a subset of a table's columns, or to add new columns, you must produce a new table by means of a projection. If you pass a function instead of a string or Ibis expression in any projection context, it will be invoked with the "parent" table as its argument. This can help significantly when [composing complex operations. -
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.
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5
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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Code-Mode
Plug-and-play library to enable agents to call MCP and UTCP tools
Code-Mode is a plug-and-play library that lets AI agents call tools by executing TypeScript (or via a Python wrapper) instead of making many individual function calls. Its core philosophy is that language models are very good at writing code, so rather than exposing hundreds of separate tool endpoints, you give the model a single “code execution” tool that has access to your full toolkit through code. This approach can dramatically reduce the number of tool-call iterations needed in complex workflows, turning multi-step call chains into a single code execution with internal branching and loops. ... -
7
EconML
Python Package for ML-Based Heterogeneous Treatment Effects Estimation
...In a nutshell, this toolkit is designed to measure the causal effect of some treatment variable(s) T on an outcome variable Y, controlling for a set of features X, W and how does that effect vary as a function of X. -
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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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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... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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10
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... -
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PyMC3
Probabilistic programming in Python
PyMC3 allows you to write down models using an intuitive syntax to describe a data generating process. Fit your model using gradient-based MCMC algorithms like NUTS, using ADVI for fast approximate inference — including minibatch-ADVI for scaling to large datasets, or using Gaussian processes to build Bayesian nonparametric models. PyMC3 includes a comprehensive set of pre-defined statistical distributions that can be used as model building blocks. Sometimes an unknown parameter or variable... -
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Yuki Hook API
An efficient Hook API and Xposed Module solution built in Kotlin
...Simple and easy to use it now! Do not need complex configuration and full development experience, Integrate dependencies and enjoy yourself. -
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magic-trace
magic-trace collects and displays high-resolution traces
magic-trace is a high-resolution performance tracing tool developed to analyze and visualize the execution of programs at a very detailed level using hardware tracing capabilities. It leverages technologies such as Intel Processor Trace to capture precise information about how a program executes over time, including function calls and instruction flow. The tool is designed for performance debugging, allowing developers to identify bottlenecks, inefficiencies, and unexpected behavior in complex systems. It includes a visualization interface that presents traces in an understandable format, making it easier to interpret large volumes of execution data. ... -
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Nethereum
Ethereum .Net cross platform integration library
...Nethereum is developed targeting netstandard 1.1, netstandard 2.0, netcore 2.1, netcore 3.1, net451 and also as a portable library, hence it is compatible with all the operating systems (Windows, Linux, MacOS, Android, and OSX) and has been tested on cloud, mobile, desktop, Xbox, hololens and windows IoT. Simplified smart contract interaction for deployment, function calling, transaction and event filtering and decoding of topics. ABI to .Net type encoding and decoding, including attribute-based for complex object deserialization. Transaction, RLP, and message signing, verification, and recovery of accounts. The simplified account life cycle for both managed by third-party client (personal) or stand-alone (signed transactions). -
15
Recorder
HTML5 js recording mp3 wav ogg webm amr format
Supports microphone recording and real-time processing in most of the implemented getUserMediamobile and PC browsers, mainly including Chrome, Firefox, Safari, iOS 14.3+, Android WebView, Tencent Android X5 kernel (QQ, WeChat, Mini Program WebView) , uni-app (App, H5), and most Android phones updated after 2021 have their own browsers; do not support: UC-based kernel (typical Alipay), most of the old domestic mobile phones that have not been updated have their own browsers and any other form of browser (including PWA, WebClip, any App) on low-version iOS (11.0-14.2) except Safari inside page). Provides multiple plug-in function support. Rich audio visualization, variable speed and pitch processing, speech recognition, audio stream playback, etc.; with powerful real-time processing support, it can be used in various web applications: from simple recording to complex real-time voice Recognition (ASR), and even audio-related games, are handled with ease. -
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pongo2
Django-syntax like template-engine for Go
pongo2 is a Django-syntax like templating-language for Go. The latest version is 6.0.0. Official additional filters/tags for pongo2 (for example a markdown-filter). They are in their own repository because they’re relying on 3rd-party-libraries. Most major Go web frameworks tightly integrated with our template engine pongo2. Fortune 500 companies and popular projects are using pongo2. Our template engine pongo2 is free to use for private & commercial products and licensed unter the MIT... -
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Bolt for JavaScript
A framework to build Slack apps using JavaScript
...To listen to messages that your app has access to receive, you can use the message() method which filters out events that aren’t of type message. message() accepts an optional pattern parameter of type string or RegExp object which filters out any messages that don’t match the pattern. A RegExp pattern can be used instead of a string for more granular matching. Within your listener function, say() is available whenever there is an associated conversation (for example, a conversation where the event or action which triggered the listener occurred). say() accepts a string to post simple messages and JSON payloads to send more complex messages. The message payload you pass in will be sent to the associated conversation. -
18
FLAML
A fast library for AutoML and tuning
FLAML is a lightweight Python library that finds accurate machine learning models automatically, efficiently and economically. It frees users from selecting learners and hyperparameters for each learner. For common machine learning tasks like classification and regression, it quickly finds quality models for user-provided data with low computational resources. It supports both classical machine learning models and deep neural networks. It is easy to customize or extend. Users can find their... -
19
SIMD
C++ wrappers for SIMD intrinsics
SIMD is a C++ library that provides portable abstractions over SIMD (Single Instruction, Multiple Data) instructions, enabling developers to write high-performance vectorized code without dealing directly with architecture-specific intrinsics. SIMD instructions allow a single operation to be applied to multiple data elements simultaneously, significantly accelerating numerical and data-parallel computations. However, differences across CPU architectures and compilers make direct usage... -
20
Tonic
Easy to audit, zero-dependencies and build-tool-free
...But since HTML only understands string values, we need some help to pass more complex values to a component, for that we use this.html. There is no evidence that Virtual DOMs improve performance across a broad set of use cases, but it's certain that they greatly increase complexity. Tonic doesn't use them. Instead, we recommend incremental updates. -
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Stagehand
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 reliably automate the web. Each Stagehand function takes in an atomic instruction, such as act("click the login button") or extract("find the red shoes"), generates the appropriate Playwright code to accomplish that instruction, and executes it. -
22
WS2812FX
WS2812 FX library for Arduino and ESP8266
...It is meant to be a drop-in replacement for the Adafruit NeoPixel library with additional features. You can search for WS2812FX in the Arduino IDE Library Manager or install the latest (or development) version manually. More complex effects can be created by dividing your string of LEDs into segments (up to ten) and programming each segment independently. Use the segment() function to program each segment's mode, color, speed, and direction (normal or reverse). Note, some effects make use of more than one color (up to three) and are programmed by specifying an array of colors. ... -
23
GLM-4
GLM-4 series: Open Multilingual Multimodal Chat LMs
...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 line adds deeper mathematical, coding, and logical reasoning via extended reinforcement learning and pairwise ranking feedback, while GLM-Z1-Rumination-32B-0414 introduces a “rumination” mode that performs longer, tool-using deep research for complex, open-ended tasks. A lightweight GLM-Z1-9B-0414 brings many of these techniques to a smaller model, targeting strong reasoning under tight resource budgets. -
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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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LiquidHaskell
Liquid Types For Haskell
This is the development site of the LiquidHaskell formal verification tool. If you're a LiquidHaskell user (or just curious), you probably want to go to the documentation website instead. LiquidHaskell (LH) refines Haskell's types with logical predicates that let you enforce important properties at compile time. LH warns you that head is not total as it is missing the case for [] and checks that it is total on NonEmpty lists. The input contract propagates to uses of head which are verified...
