Component Library

Python library for easily interacting with trained machine learning models

Python library for easily interacting with trained machine learning models

A Python library for building stateful, multi-component applications with Large Language Models (LLMs).

reflex-highcharts is a powerful component designed to integrate the popular charting library,

Python library for easily interacting with trained machine learning models

Python library for easily interacting with trained machine learning models

Collection of reusable Python components to share with Python projects integrating TendKid

Python library for easily interacting with trained machine learning models

A Python library to write Numerical Weather Prediction pipelines components

Fork of discord_components, an unofficial library for discord components.

Library for extracting component parameters from part number.

Python library for easily interacting with trained machine learning models

An unofficial library for disnake components.

Library of tailwind styled components for Plotly Dash

Python library for easily interacting with trained machine learning models

Library of networking components

Independent-component-analysis-based Blind audio source separation library.

A JavaScript library for initialising frontend user components.

Python library for calculating aircraft cross- and tailwind components on a runway

Python library for easily interacting with trained machine learning models

Reusable Python components to be shared with some Python projects

A simple Flask library for UI components

An unofficial library for discord components.

Dash Sylvereye is a Plotly Dash component library for producing interactive web-based visualizations of large primal road networks in Python.

A small Python library for rendering React components.

Python library for easily interacting with trained machine learning models

Python library for easily interacting with trained machine learning models

Fluid-particle Interaction component of Chemical Engineering Design Library (ChEDL)

Library of galaxy population modelling components

Jabber Component Library

Library to smush together D3 components in the right order

Python library for easily interacting with trained machine learning models

comotore - component engine library - simple actor model realisation

CKAN common library for extensions

Changer C5 Component Library

This is a library to update multiples traces in one graph using dash plotly in python

A library for decoding the mobile messaging components(10 digits mobile number, customer id, sms id)

PyTorch3D is FAIR's library of reusable components for deep Learning with 3D data. This is a customed version by MCG team

Python library for easily interacting with trained machine learning models

Reinforcement learning library for building complex agents with simple components.

Python library for easily interacting with trained machine learning models

Python library for easily interacting with trained machine learning models

A Streamlit component library for interactive charts in chartjs. Draggable line, scatter, and bezier charts. The updated data of the chart is returned after user interaction.

Python library for easily interacting with trained machine learning models

Python library for easily interacting with trained machine learning models

A differentiable library of synthesiser components

Aspose.TeX for Python via .NET is a library that enables your Python applications to typeset TeX files and obtain output documents in file formats, such as XPS, PDF, JPEG, PNG, TIFF, and BMP. You can configure typesetting preferences to have your desired output design. It also offers numerous embedded fonts available for typesetting. With Aspose.TeX for Python, you can define your own interface for input gathering or choose to accept input from a local directory or from a ZIP archive.

Python version of the qt component library.

This project is a set of tools for binary software component analysis. It is designed to help researchers and developers to analyze the binary software components, such as libraries, executables, and firmware. The tools are written in Python.

This library has been developed specifically for the purpose of measuring parameters such as diameter, concentricity, and other relevant characteristics of ring-shaped components.