#html #chart #charts #css #css_framework #scss

https://github.com/ChartsCSS/charts.css

#javascript #visualization #d3 #charts #webgl #charting_library #plotly #data_visualization #regl #plotly_dash

https://github.com/plotly/plotly.js

#mustache #bitnami #charts #helm #helm_charts #kubernetes

https://github.com/bitnami/charts

#typescript #charts #data_visualization #graphs #maps

https://github.com/f5/unovis

#go #charts #helm #kubernetes

https://github.com/databus23/helm-diff

#javascript #charting_library #charts #d3 #data_visualization #plotly #plotly_dash #regl #visualization #webgl

Plotly.js is a powerful tool for creating various types of charts and visualizations using JavaScript. It allows you to make statistical charts, 3D graphs, scientific charts, and more. You can easily load it into your project using a script tag or as a Node module. This library is beneficial because it offers a wide range of visualization options, making it easy to present data in an interactive and engaging way. Additionally, it is well-documented and has a strong community support, which helps if you need help or want to contribute to its development.

https://github.com/plotly/plotly.js

#css #angular #charts #components #datagrid #datatable #mit #typescript #ui

PrimeNG is a useful tool for developers. You can check its latest version and download statistics on npm. It also has a continuous integration process to ensure it works well. If you have questions, you can join the Discord chat or participate in GitHub discussions. The PrimeNG website offers demos and detailed documentation to help you get started easily. This makes it easier for you to use PrimeNG effectively and stay updated with the community.

https://github.com/primefaces/primeng

#csharp #asp_net_core #blazor #blazor_application #blazor_components #blazor_ui #blazor_ui_components #blazor_webassembly #bootstrap #bootstrap5 #charts #component_library #components #csharp #data_grid #data_visualization #datagrid #fluent #material #netcore #wasm

Radzen Blazor Components offer over 90 free and open-source UI controls for Blazor applications. These components are native to Blazor, meaning they are written in C# and don't rely on JavaScript frameworks. This makes them efficient and easy to use. You can install them from NuGet or build your own copy from source. The components are constantly updated with new features, and you have access to community support and optional dedicated support with a Radzen Professional subscription. This helps you develop Blazor applications quickly and effectively, with tools like a WYSIWYG design canvas and scaffolding for CRUD applications, making your development process smoother and more productive.

https://github.com/radzenhq/radzen-blazor

#typescript #apache #canvas #charting_library #charts #data_visualization #data_viz #echarts #svg #visualization

Apache ECharts is a free and powerful tool for creating interactive and customizable charts. It is written in JavaScript and easy to use, making it great for adding charts to your products. You can download it from the official website, use npm, or a CDN. It has lots of documentation and examples to help you get started. Using ECharts benefits you by allowing you to create professional-looking charts quickly and easily, which can enhance your data visualization and make your products more engaging.

https://github.com/apache/echarts

#typescript #agent #bigquery #charts #duckdb #genbi #gpt #llm #openai #postgresql #rag #reporting #spreadsheets #sql #sqlai #text_to_sql #text2sql

Wren AI is a free, open-source tool that helps you get insights from your data easily. You can ask questions in any language, and it will generate the necessary SQL queries to get the answers. It integrates well with tools like Excel and Google Sheets, making it easy to analyze and visualize your data. Wren AI also suggests follow-up questions to help you dig deeper into your data without needing to write code. This makes it simpler for anyone, regardless of their technical skills, to understand and use their data effectively.

https://github.com/Canner/WrenAI

#shell #chart #charts #d3 #data_visualization #svg #visualization

D3.js is a free JavaScript library that helps create interactive and custom data visualizations. It offers great flexibility, allowing developers to make dynamic graphics using web standards. This means you can easily customize how your data looks and behaves on the web. The benefit of using D3.js is that it allows users to explore complex data in an engaging way, making it easier to understand and analyze information. Whether you're working with simple charts or complex networks, D3.js provides tools to bring your data to life interactively.

https://github.com/d3/d3

#typescript #charts #data_grid #data_table #date_picker #date_range_picker #hacktoberfest #react #time_picker

MUI X provides advanced React components like Data Grids, Date Pickers, Charts, and Tree Views for building data-rich apps, offering free MIT-licensed tools for basic needs and paid Pro/Premium plans with advanced features like server-side data handling and AI assistance, saving development time with ready-made solutions while allowing customization for any design system[1][2][4].

https://github.com/mui/mui-x

#go #chart #charts #cncf #helm #kubernetes

Helm is a tool that helps manage applications on Kubernetes. It simplifies deploying and managing apps by using pre-configured packages called Helm Charts. These charts include all the necessary resources for an application, making it easy to install, update, or remove apps with just a few commands. This saves time and reduces errors, as you only need to edit a single file to change settings across different environments. Using Helm boosts productivity and makes deploying complex applications much easier.

https://github.com/helm/helm