#scala #ai #apache_spark #azure #big_data #cognitive_services #data_science #databricks #deep_learning #http #lightgbm #machine_learning #microsoft #ml #model_deployment #onnx #opencv #pyspark #spark #synapse

https://github.com/microsoft/SynapseML

#python #data_engineering #data_quality #data_quality_monitoring #data_science #database #databricks_sql #dataengineering #dataquality #mysql #oracle_database #postgres #postgresql #rdbms #snowflake #sql #trino

https://github.com/datafold/data-diff

#java #baas #clickhouse #crud #databricks #elasticsearch #hadoop #hive #influxdb #low_code #lowcode #milvus #nocode #oracle #postgresql #postgresql_database #serverless #snowflake #sqlserver #tdengine #tidb

APIJSON is a powerful tool that simplifies the development of APIs and reduces the workload for both front-end and back-end developers. Here are the key benefits APIJSON provides automatic generation of APIs and documentation, eliminating the need for manual coding of CRUD (Create, Read, Update, Delete) operations and documentation.
- **Customizable** It significantly reduces development and communication costs, simplifies the development process, and shortens the development cycle.
- **Compatibility** APIJSON automatically manages versions, controls permissions, and prevents SQL injection attacks.
- **Community Support**: It has a strong community with extensive documentation, video tutorials, and a large number of contributors and users from major companies like Tencent, Huawei, and Baidu.

Overall, APIJSON streamlines API development, making it faster, more efficient, and less prone to errors.

https://github.com/Tencent/APIJSON

#python #agents #claude #cursor #databricks #vibecoding

The Databricks AI Dev Kit enhances AI-driven development by providing your coding assistant (Claude Code, Cursor, etc.) with trusted Databricks knowledge and best practices. It includes a Python library, MCP server with 50+ tools, markdown skills teaching Databricks patterns, and a web-based builder app. You can build Spark pipelines, jobs, dashboards, knowledge assistants, and deploy ML models faster and smarter. The benefit is that your AI coding assistant gains direct access to Databricks functionality and patterns, enabling you to develop data and AI applications more efficiently with built-in governance and best practices.

https://github.com/databricks-solutions/ai-dev-kit