Notícias sobre Charts

Visualize métricas claramente em uma grade de dados estruturada

Dezembro 30, 2025
O LightningChart Python v2.1 adiciona uma nova grade de dados que apresenta dados visuais de KPIs, métricas e tendências nas células, em uma única visualização totalmente personalizável.

LightningChart Python is a high-performance visualization library designed for real-time analytics and large-scale data rendering. Utilizing GPU acceleration and WebGL, it efficiently processes millions of data points in 2D and 3D with smooth, interactive visuals. Some example chart types include Line graphs, Scatter plots, Heatmaps, Area plots, Box plots, 3D Surface graphs and Mesh plots, and it supports UI elements such as CustomTicks, interval Bands and Constant Lines. It integrates with Python’s data ecosystem, including numpy, pandas, and GUI frameworks like PyQt and PySide, making it a powerful tool for interactive dashboards, financial analytics, scientific simulations, and engineering applications.

The LightningChart Python v2.1 update introduces a new DataGrid component that allows software developers to present metrics, KPIs, and trend information in a single, structured view, combining textual data, numeric values, and compact in-cell charts. By embedding visual context such as sparklines, markers, and thresholds directly within the grid, developers can deliver clearer, more actionable insights without relying on separate chart components. The DataGrid also provides extensive control over styling, enabling consistent integration with existing application designs while reducing the effort required to build and maintain custom data presentation solutions.

To see a full list of what's new in v2.1, see our release notes.

LightningChart Python offers two licensing options: the subscription-based Data Scientist License for internal, non-public facing usage and the perpetual, per-seat Software Developer License for commercial use with professional support and deployment keys. Both licenses allow one active session per user, with developer licenses assigned individually. See our LightningChart Python licensing page for full details.

For more information, see our LightningChart Python product page.

Mostre o progresso com gráficos orientados a metas

Dezembro 18, 2025
Compare orçamento, previsão e valores reais em um gráfico compacto para identificar instantaneamente as variações e acompanhar o progresso em direção às metas com clareza.

Bullet charts are goal-oriented visualizations that compare actual performance against targets and benchmarks such as budget and forecast values in a single, easy-to-read view. They offer a clear alternative to gauges and meters by showing progress toward goals while making variances and shortfalls immediately obvious. By presenting multiple reference points together, bullet charts help stakeholders interpret performance quickly and consistently across metrics. Common use cases include financial reporting, sales and margin tracking, KPI dashboards, operational scorecards, and executive summaries where fast, reliable comparisons support better decision-making.

Several JavaScript chart controls offer bullet chart support including:

  • Highcharts Core by Highsoft lets you build bullet charts comparing performance against targets with interactive tooltips, responsive layouts, and customization.
  • KendoReact Charts (part of KendoReact by Telerik) allows you to render bullet charts, emphasizing KPIs, qualitative ranges, and accessibility-friendly components.
  • amCharts 5: Charts facilitates modern bullet charts with animated transitions, flexible axes, precise benchmarks, and theming for data-driven dashboards applications.
  • Syncfusion JavaScript Charts (part of Syncfusion Essential Studio Enterprise) lets you create bullet charts showcasing targets, ranges, and actuals.

For an in-depth analysis of features and price, visit our JavaScript bullet chart controls comparison.

Compare JavaScript Bullet Chart Controls

Adicione clareza aos gráficos com transições animadas

Dezembro 15, 2025
Os gráficos Web Components com animações facilitam a visualização das alterações de dados e ajudam os usuários a manter o foco, mesmo com visuais complexos.

Animation in a Web Components Chart control refers to the visual transitions applied to chart elements as data is rendered, updated, or interacted with. It enhances the user experience by making changes in the data more perceptible and easier to follow, particularly when dealing with dynamic or real-time datasets. For developers, animation helps improve data readability and provides a more engaging and polished interface, especially when charts are updated frequently or involve user interaction. It also makes it easier for users to track what’s changed in the chart, even when the visuals are complex.

Several Web Components chart controls offer animation including:

  • Wijmo Web Components Chart (part of Wijmo Enterprise by MESCIUS) lets you animate chart updates smoothly, helping users clearly follow dynamic data transitions.
  • jQWidgets Chart facilitates animated rendering and transitions, making it easier to present changing data visually without overwhelming the user.
  • Ignite UI Web Components Chart (part of Infragistics Ignite UI) allows you to add refined animation effects, enhancing visual feedback during data changes.
  • ZingChart supports flexible animation options, enabling developers to create dynamic visualizations that respond intuitively to updates and user interaction.

For an in-depth analysis of features and price, visit our comparison of Web Components Chart Controls.

Compare Web Components Chart Controls

Adicione indicadores para destacar tendências nos gráficos Blazor

Dezembro 10, 2025
Aprimore a interpretação dos dados sobrepondo tendências e limiares calculados diretamente sobre suas visualizações.

Indicators in a chart component are visual tools used to represent specific statistical or mathematical calculations directly on the chart, often to highlight trends, patterns, or key thresholds within the underlying data. Common in financial and analytical applications, indicators can include elements like moving averages, Bollinger Bands, or threshold lines. For software developers, implementing indicators provides a powerful way to enhance data interpretation by allowing users to see meaningful context and actionable insights without needing to leave the chart interface. This improves decision-making and supports more interactive and informative visualizations across a wide range of use cases.

Several .NET Blazor charting controls support indicators including:

  • TeeChart .NET for Blazor by Steema Software lets you embed over 50 financial and statistical indicators directly into interactive Blazor charts.
  • NOV Chart for .NET by Nevron allows you to apply a full suite of financial, trend and statistical indicators on 2D/3D charts, supporting large‑scale data rendering.
  • Infragistics Ignite UI for Blazor Chart (part of Infragistics Ignite UI) lets developers overlay trend lines and data‑analysis overlays on its 65+ chart types.
  • Syncfusion Blazor Charts (part of Syncfusion Essential Studio Enterprise) allows integration of analytical overlays such as trendlines and reference markers to enrich chart data.

For an in-depth analysis of features and price, visit our comparison of .NET Blazor Chart Controls.

Compare .NET Blazor Chart Controls

Mostre instantaneamente o preço mais recente nos gráficos financeiros

Dezembro 5, 2025
O LightningChart JS Trader v4.0 adiciona rótulos de “preço mais recente” que destacam os valores mais recentes para dar suporte a análises de gráficos mais informadas.

LightningChart JS Trader is a JavaScript/TypeScript library developed by LightningChart that specifically targets the creation of financial and trading applications. It provides high-performance, 2D, 3D, and real-time charting controls and a comprehensive suite of visualizations including candlestick, bar, line, and various technical indicators and drawing tools. This library enables software developers to create interactive technical analysis tools without the need for server-side setup as it runs completely on the client device.

The LightningChart JS Trader v4.0 update introduces a latest price labels feature which automatically displays the most recently received price and indicator values on the Y-axis, giving developers a clear reference point without implementing custom annotations. This built-in functionality reduces development effort by handling label placement and synchronization with incoming data, while configurable options allow teams to show the label, the horizontal line, both, or neither depending on the requirements of their application. As a result, developers can deliver a cleaner, more informative charting experience that makes it easier for end users to quickly interpret current market levels and indicator states.

To see a full list of what's new in v4.0, see our release notes.

LightningChart JS Trader is licensed per developer and is available as an annual license with 1 year support. See our LightningChart JS Trader licensing page for full details.

For more information, see our LightningChart JS Trader product page.