NgxDeebodata - Customizable Angular Data Grid for v22 on NPM
Run an npm i ngx-deebodata in your Angular project to get started.
To preserve the integrity and security of our data grid package, we only use basic @angular packages and RxJS as peer dependencies.
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Angular Data Grid Component Features
- Virtual Scroll
- Pagination in-memory or server-side implementation
- Advanced Column Filters
- Sort by multiple columns w/ sort order
- Integrated Charts
- Row Grouping
- Custom Sort capability
- Processes Links
- Cell Editing w/ Validation
- Numbered Rows
- Tab Accessibility
- Option to block editing (read-only table)
- Top level filter
- Auto right-aligning of numbers
- Up to 2 theme colors
- Functional Reset Button
- Filter on comparators besides equality e.g. >, <=, before & after dates
- Auto-populates multi-select column filter where appropriate
- Detects if strings should be coerced into a more appropriate data type
- Toggle freezing first column
- Toggle hiding any column
- Click and drag column and row resizing on laptop and desktops
- Click and drag column re-ordering on laptop and desktops
- Row selection and filtering of selected rows
- Quick Exports of data to csv, tsv, json, psv
Supercharge data analysis with NgxDeebodata - the angular data grid & integrated charts from DeeboData. This data
grid uses a specialized virtual scroll mechanism to command hundreds of thousands or a million+ rows instantly without compromising
browser memory. You can also opt for pagination, including server-side pagination. Sort data by multiple fields simultaneously and use dropdown filters and advanced comparators to perform advanced
filtering. Re-order the table display with click & drag or resize column widths individually. Toggle the visibility of a column.
Utilize all the features of the ngx-deebodata grid itself, then click Insights to have charts generated dynamically based on
your current filters and visible columns. DeeboData uses the data type of each column to build line graphs, bar graphs, pie charts,
and numeric distribution heatmaps where applicable. You can customize the color scheme of the charts and the data grid using input bound properties
described in the documentation.