Search Results for "charts"
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Showing 882 open source projects for "charts"
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Charts
Beautiful charts for iOS/tvOS/OSX
Charts is a powerful open-source charting library for iOS and macOS applications, inspired by the Android MPAndroidChart library. It enables developers to easily add interactive and animated data visualizations to their apps, supporting a wide variety of chart types such as line, bar, pie, radar, and more. With support for touch gestures, custom styling, and real-time updates, Charts is widely used in mobile development for creating professional-grade dashboards and data views. -
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EKS Charts
Amazon EKS Helm chart repository
Networking plugin for pod networking in Kubernetes using Elastic Network Interfaces on AWS. appmesh-controller: App Mesh controller Helm chart for Kubernetes. appmesh-prometheus: App Mesh Prometheus Helm chart for Kubernetes. appmesh-grafana: App Mesh Grafana Helm chart for Kubernetes. appmesh-jaeger: App Mesh Jaeger Helm chart for Kubernetes. appmesh-spire-server: App Mesh SPIRE Server Helm chart for Kubernetes. appmesh-spire-agent: App Mesh SPIRE Agent Helm chart for Kubernetes.... -
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Charts.css
Open source CSS framework for data visualization
Charts.css is a modern CSS framework. It uses CSS utility classes to style HTML elements as charts. No dependencies. 72kb file size. Less than 6kb gzipped file size! Visualization helps end-users understand data. Charts.css help frontend developers turn data into beautiful charts and graphs using simple CSS classes. The data is structured using semantic HTML tags and styled using CSS classes which change the visual representation displayed to the end-user. -
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XCharts
A charting and data visualization library for Unity
...Supports 3D column charts, funnel charts, pyramids, dashboards, water level charts, pictographic column charts, Gantt charts, rectangular tree charts and other extended charts. Line graphs such as line graphs, curve graphs, area graphs, and stepped line graphs are supported. -
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Chart.js
Simple yet flexible JavaScript charting for designers & developers
Chart.js is a Javascript library that allows designers and developers to draw all kinds of charts using the HTML5 canvas element. Chart js offers a great array of simple, clean charts including animated and interactive versions. Chartjs is an easy way to include beautiful and engaging charts into your website for free. -
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ipychart
The power of Chart.js with Python
Create charts with Python in a very similar way to creating charts using Chart.js. The charts created are fully configurable, interactive, and modular and are displayed directly in the output of the cells of your jupyter notebook environment. Charts are fully interactive, you can hover it to display tooltips and select the information you want to see directly from the output cell of your notebook. -
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Apexcharts.js
Interactive JavaScript Charts built on SVG
...Packed with the features that you expect, ApexCharts includes over a dozen chart types that deliver beautiful, responsive visualizations in your apps and dashboards. ApexCharts is an MIT-licensed open-source project that can be used in commercial and non-commercial projects. You can create a combination of different charts, sync them and give your desired look with unlimited possibilities. Below is an example of synchronized charts with github style. Zoom, Pan, Scroll through data. Make selections and load other charts using those selections. An example showing some interactivity. Another approach to Drill down charts where one selection updates the data of other charts. ... -
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Helm
The Kubernetes package manager
Helm is a tool that streamlines the installation and management of Kubernetes applications. With Helm you can find and use popular software packaged as Helm Charts. Charts are Helm packages that define, install and upgrade just about any Kubernetes application. With Helm you can manage even the most complex Kubernetes apps. It’s easy to update and offers simple sharing options on public or private servers. -
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PhiZone Player
HTML5 Phigros chart player/simulator
PhiZone Player is an HTML5-based simulator for Phigros charts, developed using Phaser. It allows users to play and test custom rhythm game charts within a web browser, providing a platform for chart creators and players to interact with Phigros-style gameplay. -
Loan business software for any kind of loanCreditOnline is an end-to-end integrated loan business management platform helping organizations connect and integrate all relevant parties in a state-of-art lending ecosystem that supports any kind of loan or lending segment. Our future-proof lending technology and partnerships render it simple, fast and cost-effective to expand the portfolio of your services and number of your clients, allowing your business to scale up or reinvigorate itself effectively at any stage of the business life-cycle.
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Chart Testing
CLI tool for linting and testing Helm charts
ct is the tool for testing Helm charts. It is meant to be used for linting and testing pull requests. It automatically detects charts changed against the target branch. -
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ipyvizzu
Build animated charts in Jupyter Notebook and similar environments
...There is a new extension of ipyvizzu, ipyvizzu-story with which the animated charts can be presented right from the notebooks. Since ipyvizzu-story's syntax is a bit different to ipyvizzu's, we suggest you to start from the ipyvizzu-story repo if you're interested in using animated charts to present your findings live or to share your presentation as an HTML file. -
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Helmify
Creates Helm chart from Kubernetes yaml
CLI that creates Helm charts from Kubernetes manifests. Helmify reads a list of supported k8s objects from stdin and converts it to a helm chart. Designed to generate charts for k8s operators but not limited to. See examples of charts generated by Helmify. -
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Excelize
Go language library for reading and writing Microsoft Excel
...You can build charts based on data in your worksheet or generate charts without any data in your worksheet at all. -
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FancyGrid
JavaScript grid library with charts integration & server communication
JavaScript grid library with charts integration and server communication. Massive number of features, Paging, Sorting, Filtering, Validation, Ajax data, Files data, RESTful, flexible CRUD, Integration with charts, Form module, Theming, Touch Support, and others. FancyGrid is integrated(data binding) with chart libraries, HighCharts, and sparklines. Intelligent modules system auto-detects and loads needed modules. -
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finvizfinance
Finviz analysis python library
finvizfinance is a package that collects financial information from FinViz website. Stock charts, fundamental & technical information, insider information and stock news. Forex charts and performance. Crypto charts and performance. Screener and Group provide data frames for comparing stocks according to different filters and trading signals. Getting information (fundament, description, outer rating, stock news, inside trader) of an individual stock. -
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Lightdash
An open source alternative to Looker built using dbt
...All of your fields in Lightdash are defined in your dbt project making it super easy to keep all of your business logic in one place. Use the Lightdash CLI with your favourite text editor to test, preview & save your changes in Lightdash. With just a few clicks, you can create beautiful charts from the data you’ve added to your Lightdash project. In Lightdash you manage everything as code, bringing productivity & governance to your BI tool. Build charts & dashboards to share key metrics with the team. Added context makes all the difference! SQL for the experts & intuitive UI for the rest - with Lightdash, everyone is an analyst! ... -
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Chartkick
Create beautiful JavaScript charts with one line of Ruby
Chartkick is a Ruby gem that makes it easy to generate beautiful charts in Rails and other Ruby applications with minimal code. It provides a high-level API where developers can use simple helpers like line_chart, pie_chart, or column_chart and pass in data arrays or ActiveRecord queries. Under the hood, it works with popular charting libraries such as Google Charts, Chart.js, and Highcharts, but hides their verbose JavaScript APIs behind a clean Ruby interface. -
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AviTab
X-Plane plugin that displays a tablet to aid VR usage
...It displays a tablet-like computer with a few apps in the cockpit. It is mainly used for flying in virtual reality. When flying in a simulator, one often needs to look up details in PDF charts, plane manuals, checklists or other documents. Using a PDF reader breaks the immersion because the virtual aviator either has to take off of their HMD or use other tools that can move windows into VR. AviTab tries to solve this problem by offering a PDF reader inside a native plugin for X-Plane. Using a plugin also opens possibilities for more apps inside the tablet, for example, to display information about the plane status or aid in navigation. ... -
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G2
Interactive data-driven visualization grammar for statistical charts
G2 is a highly interactive data-driven visualization grammar for statistical charts. with a high level of usability and scalability. It provides a set of grammar, and takes users beyond a limited set of charts to an almost unlimited world of graphical forms. With G2, you can describe the visual appearance and interactive behavior of visualization just by one statement, and generate web-based views using Canvas or SVG. -
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Helmfile
Declaratively deploy your Kubernetes manifests, Kustomize configs
Deploy Kubernetes Helm Charts. Declaratively deploy your Kubernetes manifests, Customize configs, and Charts as Helm releases. Generate all-in-one manifests for use with ArgoCD. Keep a directory of chart value files and maintain changes in version control. Apply CI/CD to configuration changes. Periodically sync to avoid skew in environments. -
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Helmsman
Helm Charts as Code
Helmsman is a Helm Charts (k8s applications) as Code tool that allows you to automate the deployment/management of your Helm charts from version-controlled code. Helmsman uses a simple declarative TOML file to allow you to describe a desired state for your k8s applications as in the example toml file. Alternatively YAML declaration is also an acceptable example YAML file. -
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Helm Dashboard
The missing UI for Helm - visualize your releases
Helm Dashboard is an open-source project which offers a UI-driven way to view the installed Helm charts, see their revision history and corresponding k8s resources. It also allows users to perform simple actions such as rolling back to a revision or upgrading to a newer version. This project is part of Komodor's vision to help Kubernetes users to navigate and troubleshoot their clusters. It is important to note that Helm Dashboard is NOT an official project by the helm team. -
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Ignite UI CLI
Ignite UI Command-Line Interface by Infragistics
A complete Angular components library of Angular-native UI controls and material-based UI components, including the fastest Angular data grid and 60+ high-performance charts! Compatible with Angular 16 and built to be enterprise-grade. Kickstart your next project with our drag-and-drop WYSIWYG App Builder for the fastest way to deliver high-performance Angular apps. Angular app development has never been easier with the cloud-based WYSIWYG drag & drop App Builder™. Instantly convert designs into production-ready HTML, TypeScript & CSS for Angular and deliver apps faster than ever before. ... -
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plotly.js
JavaScript charting library behind Plotly and Dash
Plotly JavaScript Open Source Graphing Library. Built on top of d3.js and stack.gl, Plotly.js is a high-level, declarative charting library. plotly.js ships with over 40 chart types, including 3D charts, statistical graphs, and SVG maps. plotly.js is free and open source and you can view the source, report issues or contribute on GitHub. For plotly.js to build with Webpack you will need to install ify-loader@v1.1.0+ and add it to your webpack.config.json. This adds Browserify transform compatibility to Webpack which is necessary for some plotly.js dependencies. ... -
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Querybook
Big Data Querying UI, combining collocated table metadata
...With a familiar interface easily create line, bar, stacked area, pie, horizontal bar, donut, scatter, and table charts. Add them then to your DataDoc to complete your data narrative.