MS4BI vs. QuickChart vs. SnappyCharts vs. python-sql Comparison Chart

Add charts to emails, reports, and anywhere else. Over 3 billion charts are rendered for users around the world. Generate chart images with a simple, open API. Our chart API generates chart images, QR codes, and more. We're built on Chart.js, the most popular open-source charting library. We'll render any Chart.js configuration. Start by putting your Chart.js definition in a URL. Let's get creative! You can use all static customization options available in Chart.js. Visit our chart gallery to see different chart types and plugins: bar charts, line graphs, pie charts, and much more. QuickChart easily integrates with many no-code tools. Use our no-code chart maker to create custom chart templates that you can embed dynamically in spreadsheets, Airtable, Bubble, AppSheet, Thunkable, and many other no-code tools. Rendering at scale is difficult and resource intensive. We've put a lot of working into taking care of the most difficult parts so you can focus on building your application.

python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.