SQL Chart Builder vs DB-Views

Deby.AI Home | Data Table Features | Live Database Demos | Create a FREE Deby.AI Account Key Features Add full database functionality to your website. Deby.AI Generative AI copilot turns your data into powerful database apps. Display advanced dashboards, data tables and multistep webforms in any webpage. Build fast A generative AI copilot turns your ideas and data into powerful apps — no coding skills needed. Describe it freely, in your native language. Debi.AI brings it to life in no time! Key Features Display and edit table data in a frame embedded in any webpage. Fully customize your tables. Enjoy complete language localization. Create multistep web forms to edit data or add new rows. Responsive Material 3 implementation makes tables look great on any device. Enjoy fast drag & drop development. With our low-code solution, JavaScript coding skills are only required for advanced scenarios. Handle Multi-Source Data Build your apps by uploading your current data to Deby.AI. Supported formats: SQL dumps, JSON, XML, CSV, OpenOffice, LibreOffice, Excel, Google Sheets, and OneDrive spreadsheets. You can also link your existing database servers: Azure/Microsoft SQL Server, MySQL, PostgreSQL, Oracle Database, Amazon Athena, Google BigQuery, Snowflake, MariaDB, MongoDB, GraphQL, and more (full database & data sources list). A live copy of the data will be displayed. Enjoy a FREE Starter License Access the full power of Deby.AI at no cost — no credit card needed. Built apps can be used indefinitely for medium-scale production.

The plugin creates beautiful charts based on your SQL queries, then you can use those charts in any part of your website. You can use both native wp and non-wp mysql tables in your queries. 11 chart types: Pie, Doughnut, Polar Area, Radar, Line, Area, Stepped Line, Bar, Horizontal Bar, Stacked Bar, Scatter What’s new in 3.0 A completely redesigned chart builder. No more “nerd-only” settings page: a clean, tabbed UI walks you through Chart & Data → Dynamic Filters → Style → Advanced. Visual chart type picker with built-in guides. Every chart type shows a short “when to use it” guide plus a working example query you can insert with one click. Live SQL autocomplete. Start typing and the editor suggests SQL keywords (type “S” — get SELECT), your real database table names and real column names. Type tablename. to see that table’s columns. Press Ctrl+Space for suggestions at any time. Click-to-build query toolbar. SELECT / COUNT(*) / FROM / WHERE / GROUP BY / ORDER BY / LIMIT buttons plus “Insert table”, “Insert column” and “Insert dynamic tag” dropdowns filled with your actual database schema — build a best-practice query without typing a single word. No-code input filters. Add date/number/text filters as simple rows (tag, type, label, default) — the tag dropdown suggests {tags} already used in your query and columns from its WHERE part. No more memorizing the ~ / | syntax (a raw editor is still available for pros). One click inserts the {tag} into your query. Dropdown column mapping. The X/Y axis fields are dropdowns filled with the columns detected in your SQL query — no more guessing column names. Color pickers instead of typing hex codes, and a fixed professional default palette instead of random colors. Latest Chart.js v4, bundled inside the plugin — no third-party CDN calls, GDPR-friendly. 4 new chart types: Radar, Stepped Line, Stacked Bar and Scatter. Better front-end design: modern table view, restyled filter form and datepicker. Full legacy support: charts created with 2.x keep working unchanged. Deprecated Google-Chart types are automatically mapped to modern equivalents when you open/save the chart. How to use Go to Dashboard → My SQL Charts → Add New and give any name to your report. Pick a chart type — read the short guide shown under the type cards, or click “Use this example” to start from a working query. Build your SQL query with the toolbar buttons and autocomplete (real table and column names are suggested), then map the X and Y columns. You can use multiple SQL queries too — just split them with the “;” sign to get comparison charts. You can also pass shortcode arguments into the query: with “select * from wp_posts where ID>{arg1}” the shortcode [gvn_schart_2 id=”2″ arg1=”11″] passes the value in. After Publish/Update you will see the shortcode below the builder. Use it anywhere on your website: pages, posts, widgets, or the “My SQL Charts” Gutenberg block. Check “Show table-view data below the graph” to also render the data as a styled table. In the Input Filters tab, add filters by clicking “+ Add filter” — each one becomes an input (with a datepicker for date types) above the chart at the front-end. Chart type mini-guide Pie / Doughnut — how a total splits into a few parts. One query: label column + numeric column. Polar Area — like a pie, but the value controls the radius; great for cyclic data (months, weekdays). Radar — compare one or more series across categories arranged in a circle (profiles, ratings). Line — trends over time; add more “;”-separated queries for comparison lines. Area — a line with the region filled; emphasizes volume. Stepped Line — values that change at discrete moments (prices, stock levels). Bar / Horizontal Bar — compare categories; horizontal is best for long labels. Stacked Bar — how each category total is composed; each “;”-separated query becomes one segment. Scatter — correlation between two numeric columns (both X and Y must be numeric). Input filters (dynamic variables) Use the visual rows in the Input Filters tab, or the raw format: variable_name~default_value~variable_label~variable_type | variable_name~default_value~variable_label~variable_type variable_name – any single name you want. default_value – default value when no variable is chosen by the user variable_label – label visible on the form above the chart variable_type – number, text or date ~ separates variable elements, | separates variables Example: with the filters “limit_tag~10~Count~number | post_date_tag~2010-07-05~Date Published~date” you can use “select * from wp_posts where post_date<{post_date_tag} limit {limit_tag}” as the SQL code — the plugin renders the corresponding inputs above the chart automatically. Supported built-in dynamic tags: {current_user_id}, {current_user_login}, {current_user_email}, {current_user_display_name}. Caching Use [gvn_schart_2_cached id=”1″ expire=”3600″] to cache the rendered chart in a transient. Add &force_sql_cache_reload=1 to the URL to bypass it once (e.g. right after upgrading). Website https://guaven.com/my-sql-charts/ Documentation https://guaven.com/my-sql-charts/#docs Bug Submission and Forum Support Contact Page Please Vote if you liked our plugin Your votes really help us. Thanks. Available Filters apply_filters( ‘guaven_sqlcharts_table_empty_cell’); apply_filters(‘guaven_sqlcharts_pre_print_vars’); apply_filters( ‘guaven_sqlcharts_final_output’); apply_filters(‘guaven_sqlcharts_rendered_sql’);