Awesome GitHub Repositories2D Plot Constructors

Smile is a comprehensive JVM machine learning library and statistical computing toolkit. It provides a suite of algorithms for classification, regression, and clustering, implemented natively for Java, Scala, and Kotlin. The project also functions as a deep learning framework, a natural language processing library, and an inference engine for large language models. The library distinguishes itself through GPU acceleration via LibTorch bindings and support for the ONNX model interchange format. It includes specialized capabilities for large language model inference, featuring Byte-Pair Encodin

Flot is an interactive charting library for jQuery that renders line, bar, pie, and time-series plots with zooming and panning. It provides interactive plots for engineering and scientific data with customizable axes, scales, and series styles, and supports real-time data updates. The library is built as a jQuery plugin with a canvas-based rendering pipeline and a plugin extension system that allows third-party code to add new chart types, interactions, and data transformations. The library distinguishes itself through a broad range of specialized chart types, including candlestick, bubble, r

matplotlib-cpp एक हेडर-ओनली C++ लाइब्रेरी और रैपर है जो सीधे C++ कोड से Matplotlib फंक्शन्स को कॉल करके 2D और 3D विज़ुअलाइज़ेशन के निर्माण को सक्षम बनाता है। यह Python-आधारित बैकएंड का उपयोग करके लाइन प्लॉट, बार ग्राफ़ और सरफेस चार्ट उत्पन्न करने के लिए एक प्लॉटिंग इंटरफ़ेस के रूप में कार्य करता है। लाइब्रेरी को एक हल्के एकीकरण के रूप में डिज़ाइन किया गया है जो जटिल बिल्ड प्रक्रिया या कंपाइल किए गए बाइनरी की आवश्यकता के बिना प्लॉटिंग क्षमताएं प्रदान करता है। यह मल्टी-डायमेंशनल डेटा रेंडरिंग, वेक्टर फ़ील्ड प्लॉटिंग और कई सबप्लॉट्स की व्यवस्था सहित विज़ुअलाइज़ेशन क्षमताओं की एक श्रृंखला को कवर करती है। टूलकिट डायनामिक एनिमेशन के उत्पादन और उत्पन्न विज़ुअलाइज़ेशन को छवि फ़ाइलों के रूप में एक्सपोर्ट करने का भी सपोर्ट करती है।

Plotters is a data visualization library for the Rust programming language used to create 2D and 3D charts, plots, and mathematical visualizations. It functions as a multi-backend rendering engine and coordinate mapping framework that translates raw data values into pixel coordinates through customizable chart contexts. The library distinguishes itself through its ability to export graphics to multiple formats, including SVG, BitMap, and HTML5 canvas. It provides specific capabilities for 3D graphics plotting, featuring adjustable camera viewpoints and projection matrices to manage spatial da

PyQtGraph is a scientific plotting and graphics framework built for PyQt and PySide applications, providing fast, interactive 2D and 3D visualizations with GPU-accelerated rendering. It serves as both a real-time signal monitoring system for streaming time-series data and a toolkit for constructing interactive data dashboards with dockable panels, parameter trees, and custom widgets. The library also includes a node-based visual flowchart tool for building data processing pipelines and a scientific graphics export system that saves plots as PNG, SVG, or CSV and converts items to Matplotlib for

bqplot is an interactive data visualization library for Jupyter notebooks. It implements a grammar of graphics model, allowing users to build complex 2D charts by combining marks, scales, and axes. The library distinguishes itself with specialized toolkits for financial charting, such as OHLC candlesticks and time-series analysis, and geographic data visualization, including choropleths and custom map projections for TopoJSON and GeoJSON data. It enables deep interaction through tools like lasso selection, rectangular brushing, and the ability to manually manipulate plot points or line data.