Merge pull request #52 from davidgasquez/add-web-clients

Add web clients

README.md

@@ -10,6 +10,7 @@
 - [Resources](#resources)
 - [Client APIs](#client-apis)
 - [Tools Powered by DuckDB](#tools-powered-by-duckdb)
+  - [Web Clients](#web-clients)
 - [Libraries Powered by DuckDB](#libraries-powered-by-duckdb)
 - [SQL Clients and IDE that Support DuckDB](#sql-clients-and-ide-that-support-duckdb)
 - [Projects Powered by DuckDB](#projects-powered-by-duckdb)
@@ -29,7 +30,6 @@
   - [DuckDB Documentation PDF](https://duckdb.org/duckdb-docs.pdf) - The DuckDB documentation as a single PDF file.
 - [docker-duckdb](https://github.com/davidgasquez/docker-duckdb) - Docker image for DuckDB CLI.
 - [DuckDB setup](https://github.com/marketplace/actions/duckdb-setup) - GitHub Action to install DuckDB in CI.
-- [Online DuckDB Shell](https://shell.duckdb.org/) - Online DuckDB shell powered by WebAssembly.
 - [Serverless DuckDB over S3](https://github.com/BauplanLabs/quack-reduce/) - Running DuckDB over a data lake on S3 using lambda.
 - [DuckDB snippets](https://duckdbsnippets.com/) - Collection of snippets curated by MotherDuck.
 - [DuckDB tldr page](https://tldr.inbrowser.app/pages/common/duckdb) - DuckDB's entry in [tldr pages](https://tldr.sh/), available in CLI via the `tldr duckdb` command.
@@ -72,10 +72,17 @@
 - [Excalichart.com](http://www.excalichart.com/) - A fast, free dashboard for exploring your data.
 - [Malloy](https://www.malloydata.dev/) - Malloy is an experimental language for describing data relationships and transformations. Malloy connects to BigQuery and Postgres, and natively supports DuckDB.
 - [Evidence](https://evidence.dev) - Generate reports using SQL and markdown. The DuckDB connector allows querying across DuckDB, csv, parquet and json.
-- [SQL Playground](https://sql.quacking.cloud) - DuckDB-WASM based SQL playground for running queries on local or remote data, being able to show data as tables or visually as graphs.
 - [Latitude](https://latitude.so) - Latitude uses DuckDB to power data snapshots. Drop a CSV file and query it with SQL at the speed of light.
 - [Census](https://www.getcensus.com/) - Census's dataset diffing for incremental syncs is powered by DuckDB.
 
+### Web Clients
+
+- [Online DuckDB Shell](https://shell.duckdb.org/) - Online DuckDB shell powered by WebAssembly.
+- [SQL Playground](https://sql.quacking.cloud) - DuckDB-WASM based SQL playground for running queries on local or remote data, being able to show data as tables or visually as graphs.
+- [Sekuel Playground](https://sekuel.com/playground/) - Query your local parquet, csv, json. Your data will not be sent out of the device you are using.
+- [CSVFiddle](https://csvfiddle.io/) - Free tool to explore and share insights from CSV files using SQL. Import data, write SQL, then instantly share it with anyone.
+- [Codapi](https://codapi.org/duckdb/) - Embed executable code snippets directly into your product documentation, online course or blog post.
+
 ## Libraries Powered by DuckDB
 
 - [Mosaic](https://uwdata.github.io/mosaic/) - An extensible framework for linking databases and interactive views.
@@ -89,7 +96,7 @@
 - [qStudio](https://www.timestored.com/qstudio/) - A free SQL tool specialized for data analysts. It runs on every operating system and allows easy browsing of tables and charting of results.
 - [DuckDB SQL Tools](https://marketplace.visualstudio.com/items?itemName=RandomFractalsInc.duckdb-sql-tools) - Free DuckDB SQL Tools for VS Code IDE. [Premium version available](https://github.com/RandomFractals/pro-data-tools/blob/main/duckdb-tools.md#duckdb-pro-tools) with advanced features.
 - [DBeaver](https://dbeaver.com) - DBeaver is a universal database access and development tool that can be used to connect almost any type of database.
-  
+
 ## Projects Powered by DuckDB
 
 - [NBA Monte Carlo](https://github.com/matsonj/nba-monte-carlo) - Monte Carlo simulation of the NBA season, leveraging Meltano, dbt, DuckDB and Evidence.
@@ -152,7 +159,7 @@
 ### Blog Posts
 
 - [Modern Data Stack in a Box](https://duckdb.org/2022/10/12/modern-data-stack-in-a-box.html) -  Fast, free, and open-source Modern Data Stack deployed on a laptop using the combination of DuckDB, Meltano, dbt, and Apache Superset.
-- [How to use DuckDB, Motherduck and Kestra for ETL](https://motherduck.com/blog/motherduck-kestra-etl-pipelines/) - how DuckDB can transform data, mask sensitive PII information, detect anomalies in event-driven workflows, and streamline reporting use cases. 
+- [How to use DuckDB, Motherduck and Kestra for ETL](https://motherduck.com/blog/motherduck-kestra-etl-pipelines/) - how DuckDB can transform data, mask sensitive PII information, detect anomalies in event-driven workflows, and streamline reporting use cases.
 - [DuckDB vs. MotherDuck — how do they compare](https://kestra.io/blogs/2023-07-28-duckdb-vs-motherduck) - what are key differences between them, and when to choose each of these options.
 
 ## Contribute