Category News

无需导出即可查询 Google Drive 数据

7月 11, 2025
Datalore 2025.4 新连接器允许您使用 SQL、Python、Scala、Kotlin 或 R 直接从笔记本访问和分析您驱动器中的文件。

JetBrains Datalore is a collaborative data science platform that streamlines data exploration, analysis, and visualization through Jupyter-compatible notebooks. It empowers teams with features like automatic visualizations, pre-configured environments, interactive controls, and seamless collaboration functionalities. Datalore offers both cloud-based and self-hosted deployment options, catering to both individual and team-based data science workflows.

The Datalore 2025.4 update introduces Google Drive integration, making it easier to access and analyze data stored in the cloud. With this new connector, users can open and query files directly from their Google Drive folders without manually exporting datasets. This enables seamless data access from within the notebook environment, supporting languages including SQL, Python, Scala, Kotlin, and R. The integration significantly reduces friction in the data preparation process and supports more efficient, language-flexible processes.

To see a full list of what's new in version 2025.4, see our release notes.

Datalore is licensed per user, and is available as a commercial annual subscription license. See our Datalore licensing page for full details.

For more information, visit our Datalore product page.

用灵活的页面管理组织文档

7月 11, 2025
使用直观易用的控件，移动和重新排序 PDF 页面以改善流程、提高清晰度并实现专业布局。

Moving pages in a PDF Viewer refers to the ability to change the order of pages within a document to better organize content, improve readability, or tailor the structure for specific purposes. This feature is especially useful when compiling reports, combining multiple documents, or correcting the sequence of scanned pages. By simply dragging and dropping pages into the desired order, users can streamline workflows without the need for re-creating or re-exporting files. Benefits include enhanced document clarity, improved presentation flow, and increased efficiency in content management. For example, a marketing team can reorder proposal sections for greater impact, or a legal department can organize case files by relevance.

Several ASP.NET Core PDF Viewer components allow you to move pages within a PDF file, including:

  • Document Solutions for PDF by MESCIUS lets you effortlessly rearrange, duplicate, or remove PDF pages to refine structure and enhance presentation flow.
  • Telerik UI PDF for ASP.NET Core facilitates intuitive page reordering within PDFs, supporting precise layout adjustments directly in web-based applications.
  • Syncfusion ASP.NET Core PDF (part of Syncfusion Essential Studio Enterprise) allows you to reorder and organize PDF pages programmatically, enabling dynamic document customization for various workflows.

For an in-depth analysis of features and price, visit our comparison of ASP.NET Core PDF Viewer components.

Compare ASP.NET Core PDF Viewer Components

用 React 文本框捕获用户输入

7月 10, 2025
文本框数据输入组件支持跨各种 Web 应用程序对表单进行精确的文本编辑、验证和集成。

Text Box components in React Data Editors are interactive controls that allow users to input, edit, and manage textual data within a web interface. Designed to handle everything from single-line entries like names and titles to multi-line content such as comments or descriptions, these components are a core part of form-driven applications. They often include features like placeholder text, character limits, validation hooks, and integration with state management tools, which help ensure data quality and user-friendly interactions. Text Boxes are widely used in settings such as user registration forms, feedback systems, and content management interfaces, where accurate and flexible text input is essential to the application's functionality.

Several React data editor collections offer text box components including:

For an in-depth analysis of features and price, visit our React data editors comparison.

Compare React Data Editors

精确可视化复杂的财务数据

7月 10, 2025
金融图表类型清楚地揭示了市场动向和交易模式，支持对股票、商品和货币的准确分析。

Financial chart components are used within software applications to visually represent complex financial data over time. They enable users, particularly those in trading, investment, and financial analysis, to interpret trends, compare performance, and make data-driven decisions more effectively. These components typically support a variety of chart types tailored to the unique requirements of financial datasets, allowing for granular analysis of price movements, market trends, and volatility.

Common features include:

  • Box Plots highlight statistical distributions and outliers within a data set to aid in risk assessment.
  • Candlestick Charts display opening, closing, high, and low prices over a time period, offering a compact yet detailed view of market behavior.
  • Indicators, such as moving averages or Bollinger Bands, provide additional layers of analysis to support technical trading strategies.
  • Kagi Charts emphasize trend direction by ignoring time intervals, updating only when price movements exceed a threshold.
  • OHLC / HLOC Charts show open-high-low-close values in bar format, helping users spot trend reversals and continuation patterns.
  • Range Charts visualize price ranges rather than individual data points, useful for spotting volatility.
  • Renko Charts filter out minor price movements to reveal clear trend directions.
  • Spline Charts smooth out fluctuations between points, offering a polished view of gradual changes.
  • Step Line Charts present data as discrete intervals, ideal for showing changes at specific points in time.

For an in-depth analysis of features and price, visit our Vue.js Chart components comparison.

Explore Vue.js Financial Charts

使用 AI 自动生成和变基提交

7月 10, 2025
GitLens 添加新的 AI 工具，用清晰的文档帮助构建提交和变基分支，从而提高代码清晰度和版本历史记录。

GitKraken is a suite of developer tools built around Git, a popular version control system. It offers a graphical user interface (GUI) that allows developers to interact with Git repositories visually instead of relying on the command line. This simplifies complex Git workflows like resolving merge conflicts and visualizing code history, making Git more accessible and efficient for developers of all experience levels.

The GitLens for VS Code V17.2 release (included in GitKraken) adds new AI commands (in preview) which can generate and rebase commits from working tree changes or from commits in an existing branch. With the Generate Commits with AI command, developers can now convert their uncommitted working tree changes into a series of meaningful, structured commits using AI. This reduces the need for manual staging and commit composition, helping developers maintain cleaner commit histories with better documentation. The new Rebase with AI feature enables developers to take existing commits from a branch and rework them into a fresh, AI-organized commit history on a new branch. This is particularly useful for cleaning up commit history before merging or sharing code, ensuring that changes are logically grouped and well-explained. Each generated commit is accompanied by a document explaining what was changed and why, offering transparency and traceability. For added safety, GitLens includes messaging to guide first-time users and an Undo option that attempts to revert the AI-generated changes, making the feature approachable and reversible.

To see a full list of what's new in V17.2, see our release notes.

GitLens for VS Code is part of GitKraken which is available as Cloud-based or On-Premise options, licensed per user as an annual license which includes free updates and technical support. See our GitKraken licensing page for full details.

Learn more on our GitKraken product page.