Apache ECharts is a powerful, interactive charting and data visualization library for browser
- echarts
- data-visualization
- charts
- charting-library
47,133 repositories indexed
1–24 of 48 · Most stars
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Redefined chart library built with React and D3
Translated🔥 An open-source BI tool anyone can use, a powerful data visualization tool. An open-source BI tool alternative to Tableau.
Data Apps & Dashboards for Python. No JavaScript Required.
TranslatedWeFlow - a local WeChat chat history export and annual report application
🎨 Python Echarts Plotting Library
🎨 The adorable charts library for Golang.
Charts library for Android compatible with API 8+, several chart types with scaling, scrolling and animations 📊
Browser compatibility data for Web technologies as displayed on MDN
⛳️ Apache ECharts components for React wrapper. 一个简单的 Apache echarts 的 React 封装。
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
📈Lightweight k-line chart that can be highly customized. Zero dependencies. Support mobile.(可高度自定义的轻量级k线图,无第三方依赖,支持移动端)
A curated list of awesome responsible machine learning resources.
Finished, accessible charts that any page, and any agent, can add with one script tag or one validated JSON config.
🦄 The Enterprise™ programming language
A curated list of awesome iOS chart libraries, including Objective-C and Swift
Composable Svelte chart components to build a large variety of visualizations
Based on my own experience, I believe this roadmap provides clear answers to all the key questions about becoming a data analyst from scratch, including which technologies and programming languages to learn, what soft skills are essential, and how to start a professional career in this field.
API Observability. Trace API calls and Monitor API performance, health and usage statistics in Node.js Microservices.
TensorFlow Implementation of "Show, Attend and Tell"
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
A Python Pandas implementation of technical analysis indicators
Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.
Echarts 5 for R