Noticias sobre Vue.js

Seleccione e introduzca colores en aplicaciones Vue

Diciembre 4, 2023
Los selectores de color permiten a los usuarios elegir y aplicar colores de manera fluida en diseños e interfaces de usuario.

A color picker is a graphical tool that allows users to select colors from a palette or by adjusting different color parameters. Color pickers are commonly found in graphics software, web development tools, and design applications. They are used to ensure accurate and visually appealing color choices in various creative and technical projects. Color pickers provide an intuitive way to select precise colors, commonly by using sliders for RGB values or hex codes.

Several Vue.js data editor collections provide color pickers including:

  • DevExtreme Complete Data Editors (part of DevExtreme Complete by DevExpress) offers a user-friendly interface for selecting colors, including predefined color palettes.
  • Wijmo Input and Editors (part of Wijmo by MESCIUS) provides a comprehensive color selection experience with features like color sliders and color swatches.
  • Kendo UI for Vue Data Editors (part of Kendo UI by Telerik) delivers a customizable color picker solution with options for popup placement, palette customization, and accessibility support.
  • jQWidgets Data Editors (part of jQWidgets) features a versatile color selection mechanism with support for various color formats and color presets.
  • Syncfusion Essential Studio Data Editors (part of Syncfusion Essential Studio Enterprise) offers a rich set of color selection capabilities, including color sliders and color eyedroppers.

For an in-depth analysis of features and price, visit our Vue Data Editors comparison.

Compare Vue Data Editors Components

Cómo guardar búsquedas en cuadrículas

Noviembre 29, 2023
Utilice SmartClient de Isomorphic Software para guardar preferencias de búsqueda y evitar tener que repetir el mismo proceso una y otra vez.

SmartClient is a comprehensive JavaScript component suite compatible with React, Vue, Angular, and more, that empowers you to craft large-scale, high-productivity Enterprise web applications. Its modern class system fosters clean encapsulation of application modules and screens, resulting in a more maintainable and comprehensible codebase.

In this blog post, Alex Fashakin demonstrates how to use SmartClient's built-in feature to save search preferences on grids. Steps include:

  • Creating the DataSource
  • Building the UI for the Saved Search feature
  • How to save searches on grids
  • Adding visible UI for storing search preferences

Read the complete blog to learn how to boost productivity with the SmartClient saved search feature.

For more information visit our SmartClient product page.

Mejore el análisis de existencias con el indicador SMI

Noviembre 16, 2023
amCharts 5: Stock Chart v5.5.3 agrega soporte para el indicador Stochastic Momentum Index, lo que ayuda a los usuarios a tomar decisiones de negocio más informadas.

amCharts 5: Stock Chart provides analytical tools for displaying time-based data, be it financial, stock or otherwise. It is a ready-made library that allows you to add interactive financial charts to a vast array of applications.

amCharts v5.5.3 adds built-in support for the Stochastic Momentum Index (SMI) to its bundled indicator control, allowing you to add the SMI to your charts via a simple user interface. This indicator reduces false signals by measuring the distance between the current closing price and the midpoint of the high/low price range. The SMI is a valuable technical indicator that can help traders identify potential trend reversals, capture momentum shifts, and make more informed trading decisions. Adding the SMI to your stock charts can help users gain a competitive edge in the market.

To see a full list of what's new in v5.5.3, see our release notes.

For more information, see our amCharts 5: Stock Chart product page.

Mejore el rendimiento de la visualización de varios gráficos

Noviembre 14, 2023
LightningChart JS v5.0 introduce el uso compartido de contexto WebGL para aumentar el rendimiento al mostrar varios gráficos.

LightningChart JS is a high-performance JavaScript charting library that utilizes WebGL rendering and GPU acceleration to deliver exceptional performance for a wide range of data visualization needs. It is designed to handle large datasets and complex visualizations with ease, enabling developers to create interactive and visually appealing charts for various applications.

The LightningChart JS v5.0 release introduces WebGL context sharing, enabling the sharing of WebGL resources (e.g. textures, shaders, and buffers) across multiple WebGL contexts. This enhances the performance of multi-chart displays, minimizes memory consumption, and simplifies resource management. It optimizes the rendering of each chart, regardless of their arrangement or quantity. Developers can now employ HTML <div> elements to define chart layouts and use CSS for precise control over positioning.

To see a full list of what's new in v5.0.0, see our release notes.

For more information, see our LightningChart JS product page.

Mejore los mapas de calor geográficos con interpolación

Noviembre 10, 2023
Highcharts Maps v11.2.0 agrega soporte para la interpolación de mapas de calor geográficos, lo que le permite agregar valores estimados entre puntos de datos conocidos para gráficos similares a mapas de temperatura.

Highcharts Maps provides a standards-compliant method for creating schematic maps in web-based projects. It extends the user-friendly Highcharts JavaScript API to allow web developers to create interactive maps that display sales, election results, or any other geographically related information.

The Highchartts Maps v11.2.0 release adds support for interpolation in geographic heatmaps. The geoheatmap.interpolation feature allows the heatmap to render its data points as an interpolated image, estimating values between known data points. For example, you may have a have a table of temperature data that shows the temperature at specific points within a region. You can use interpolation to estimate the temperature in areas between the known data points. This new feature helps to create more easily understandable and visually appealing heatmaps, even with limited data sets.

To see a full list of what's new in version 11.2.0, see our release notes.

For more information, visit our Highcharts Maps product page.