.NET 및 JavaScrip 그리드 비교
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기능, 플랫폼 및 가격으로 제품을 선정할 수 있도록, 특별히 개발자를 위해 설계되었습니다.
기능: The TeeGrid "Ticker" component to automatically refresh grid cells when values are updated. VCL, Firemonkey and Lazarus. Delphi and C++. Options include FadeColors, Delay, Higher.Color, Lower.Color and RefreshSpeed. ... 더 읽기 본 제품에 관한 더 많은 결과 보기
기능: TeeGrid is fully compatible with VCL and FMX offering you the means to take common core code for gridding on Windows, Android and iOS/OSX. TeeGrid ships with some default themes to optionally custom match to each environment. ... 더 읽기
기능: Written from scratch in (not derived from TCustomGrid or TGrid) to take advantage of all that's fast in Delphi. ... 더 읽기
기능: The TeeGrid "Ticker" is a small component to automatically refresh grid cells when values are updated. Options include FadeColors, Delay, Higher.Color, Lower.Color and RefreshSpeed. ... 더 읽기 본 제품에 관한 더 많은 결과 보기
기능: TeeGrid is fully compatible with Visual Studio NET offering you the means to take common core code for grids on Windows, Android and iOS/macOS. TeeGrid ships with some default themes to optionally custom match to each environment. ... 더 읽기
기능: TeeGrid offers many features to manage the rows and columns sizing, formatting and more to your grid tables; Locked columns allows to lock/fix a specified number of rows and columns. Any grid column can be locked to a grid edge (left or right). Column ... 더 읽기
기능: Integrations with the "R" Language and Python's frameworks provide an easy way to use TeeBI data with statistical and machine-learning algorithms and perform statistical and predictive analysis to help identify patterns and trends. ... 더 읽기 본 제품에 관한 더 많은 결과 보기
기능: TeeBI provides an array of chart types, grids and customization options to easily create beautiful and detailed data visualizations for instant analysis. Dashboards and reports can be built from multiple data sources and types. Plugin your own favorite ... 더 읽기
기능: TeeBI is a performance-oriented API (component library) to enable data gathering, processing and optionally interacting with machine-learning algorithms. Data can be created manually by code, or it can be automatically imported from many different sources ... 더 읽기