Best Component Libraries

Dash & Dash Enterprise let you build & deploy analytic web apps using Python, R, and Julia. No JavaScript or DevOps required. Through Dash, the world's largest companies elevate AI, ML, and Python analytics to business users at 5% the cost of a full-stack development approach. Deliver apps and dashboards that run advanced analytics: ML, NLP, forecasting, computer vision and more. Work in the languages you love: Python, R, and Julia. Reduce costs by migrating legacy, per-seat licensed software to Dash Enterprise's open-core, unlimited end-user pricing model. Move faster by deploying and updating Dash apps without an IT or DevOps team. Create pixel-perfect dashboards & web apps, without writing any CSS. Scale effortlessly with Kubernetes. Support mission-critical Python applications with high availability.

List & Label is a report generator for software developers to integrate reporting functions in their web, cloud and desktop applications. Made for development environments such as .NET, C#, Delphi, C++, ASP.NET, ASP.NET MVC, .NET Core etc. It is seamless to integrate, supports a huge variety of data sources and extends applications with extensive print, export and preview functions. With the WYSIWYG Report Designer, developers or end users create or edit different print templates for printing information that originates either from a database or another data source. In the Designer, you then have all the data at your disposal to prepare it for printing in different ways. The additionally included and entirely browser-based Web Report Designer for ASP.NET MVC offers more flexibility in development and is independent from printer drivers. Reports for web applications can be designed anywhere at any time in the browser of your choice.

A system is worthwhile for business only if it helps make business decisions, so looking at the data from different angles is crucial for business decision makers. Allowing end-users to instantly get the data they need adds value to your software, reduces end user churn, and provides a competitive advantage. It takes up to several workdays to add a new report to an IT system. Adding and maintaining dozens of reports overloads your developers, and is one of the reasons why you can't ship new versions on time. With Active Query Builder, users take control and responsibility for creating and maintaining their reports. Users can reconfigure reports whenever they need to with zero intervention from your side. If you're already using a reporting system in your app, Active Query Builder will add value to it by allowing you to create new data sources for reports.

pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Tools for reading and writing data between in-memory data structures and different formats: CSV and text files, Microsoft Excel, SQL databases, and the fast HDF5 format. Intelligent data alignment and integrated handling of missing data: gain automatic label-based alignment in computations and easily manipulate messy data into an orderly form.Aggregating or transforming data with a powerful group by engine allowing split-apply-combine operations on data sets. Time series-functionality: date range generation and frequency conversion, moving window statistics, date shifting and lagging. Even create domain-specific time offsets and join time series without losing data.

ActiveReports is a complete reporting solution for .NET. Deliver beautiful reports with our intuitive Visual Studio integrated report designer and rich controls. - Feature packed reporting for WinForms, WPF, ASP.NET, MVC, .NET Core, and .NET Core 3 - End User Report Designers for Web and Desktop - Flexible API and expressions support for dynamic reporting - Multiple report types to fit all reporting needs - 10+ Export formats What's New in ActiveReports. NET v16: - .NET 6 support - New Blazor Viewer - New Wizards - Chart upgrades - Mixed Page Orientation for Page Reports - InputField Control for Section Reports What's New in ActiveReportsJS v2.1: - Display dynamic HTML content with RichText support - Angular, React, and Vue Report Designer Components - Designer enhancements - Revised Report Author Guide

The Vega-Altair open-source project is not affiliated with Altair Engineering, Inc. With Vega-Altair, you can spend more time understanding your data and its meaning. Altair’s API is simple, friendly and consistent and built on top of the powerful Vega-Lite visualization grammar. This elegant simplicity produces beautiful and effective visualizations with a minimal amount of code. The key idea is that you are declaring links between data columns and visual encoding channels, such as the x-axis, y-axis, color, etc. The rest of the plot details are handled automatically. Building on this declarative plotting idea, a surprising range of simple to sophisticated plots and visualizations can be created using relatively concise grammar.

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a projection and mapping toolkit (Cartopy).

Fluree is an immutable RDF graph database written in Clojure and adhering to W3C standards, supporting JSON and JSON-LD while accommodating various RDF ontologies; it boasts a scalable, cloud-native architecture utilizing a lightweight Java runtime, with individually scalable ledger and graph database components, embodying a "Data-Centric" ideology that treats data as a reusable asset independent of singular applications, underpinned by an immutable ledger that secures transactions with cryptographic integrity, alongside a rich RDF graph database capable of various queries, and employs SmartFunctions for enforcing data management rules, including identity and access management and data quality.

nuvo offers AI-powered, secure and scalable data onboarding solutions that empower you and your customers to map, validate, and clean data effortlessly – regardless of the input format. Don't let complex data mappings and transformations burden your developers. Reduce the time you use internally for customer data imports by 90%, or shift completely to a customer self-service model and empower your customers to import their data via an intuitive user interface. With our nuvo Data Importer SDK, we support software companies like Sastrify, Prewave, and Insurwave by automating their data imports, eliminating import errors, and freeing up their development resources to focus on core product functionalities. Experience the power of nuvo yourself! Start a free trial or schedule a quick demo with our team at getnuvo.com.

ggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics. You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details. ggplot2 is now over 10 years old and is used by hundreds of thousands of people to make millions of plots. That means, by-and-large, ggplot2 itself changes relatively little. When we do make changes, they will be generally to add new functions or arguments rather than changing the behavior of existing functions, and if we do make changes to existing behavior we will do them for compelling reasons. If you are new to ggplot2 you are better off starting with a systematic introduction, rather than trying to learn from reading individual documentation pages.

Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. For a brief introduction to the ideas behind the library, you can read the introductory notes or the paper. Visit the installation page to see how you can download the package and get started with it. You can browse the example gallery to see some of the things that you can do with seaborn, and then check out the tutorials or API reference to find out how. To see the code or report a bug, please visit the GitHub repository. General support questions are most at home on StackOverflow, which has a dedicated channel for seaborn.

WebDataRocks is a simple free JS library for creating functional and easy-to-use pivot tables. It can be used with Angular, Vue, React or any other framework. Free Flexible in customization JavaScript based client-side component Loads 1MB of JSON or CSV data files Full set of enterprise features Integration with 3rd party charting libraries Full set of enterprise features Features like filtering, sorting, grouping, conditional and number formatting, calculated values, totals are available for efficient work with your data. It supports printing or exporting web report to PDF, Excel or HTML with just one click. Ready-to-use modern UI The tool offers a classy spreadsheet-like interface optimized both for browsers and apps. All principles of reliability and excellent user experience are already implemented in this web reporting tool.