#python #artificial_intelligence #automl #clickhouse #explainable_ai #explainable_ml #hacktoberfest #machine_learning #machine_learning_api #mariadb #ml #mysql #postgresql #pytorch #singlestore #snowflake

https://github.com/mindsdb/mindsdb

#typescript #ab_testing #abtest #abtesting #analytics #bigquery #clickhouse #continuous_delivery #data_analysis #data_engineering #data_science #experimentation #feature_flagging #feature_flags #mixpanel #redshift #remote_config #snowflake #split_testing #statistics

https://github.com/growthbook/growthbook

#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

#python #bigquery #clickhouse #dask #database #datafusion #duckdb #impala #mssql #mysql #pandas #polars #postgresql #pyarrow #pyspark #snowflake #sql #sqlalchemy #sqlite #trino

https://github.com/ibis-project/ibis

#java #bigquery #database #dbt #delta_lake #elt #etl #hadoop #hive #hudi #iceberg #lakehouse #olap #query_engine #real_time #redshift #snowflake #spark #sql

Apache Doris is a high-performance, real-time analytical database that offers several benefits. It is easy to use with a simple architecture and supports standard SQL, making it compatible with MySQL tools. Doris delivers extremely fast query performance, even under massive data loads, making it ideal for scenarios like report analysis, ad-hoc queries, unified data warehouses, and data lake queries. It also supports federated querying of various data sources and has rich ecosystem integrations with tools like Spark and Flink. This makes Apache Doris a versatile and powerful tool for handling complex analytical tasks efficiently.

https://github.com/apache/doris

#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

#go #cicd #data_masking #data_security #database_access #dbeaver #devsecops #flyway #gitops #liquibase #mongodb #mysql #oracle #pam #postgresql #schema_migrations #security #snowflake #sql_client #sqlserver #tidb

Bytebase is a tool that helps manage databases more efficiently. It automates tasks like schema migrations and backups, making it easier to collaborate on database changes. Bytebase supports multiple databases and integrates well with CI/CD pipelines. It also provides features like role-based access control and data masking for better security. Using Bytebase simplifies database management, reduces errors, and saves time, making it beneficial for developers and database administrators.

https://github.com/bytebase/bytebase

#rust #ai #bigdata #database #lakehouse #olap #rust #serverless #snowflake #sql

Databend is an open-source, cloud data warehouse built with Rust that offers a fast, cost-effective alternative to Snowflake. It supports both cloud and on-premise deployment, handles massive data (over 800 petabytes), and processes over 100 million queries daily. Databend excels in fast query execution, real-time data updates, and simplified data ingestion without extra ETL tools. It includes AI-powered analytics, advanced indexing, ACID compliance, and flexible schema support for semi-structured data. Using Databend can save you money, give you full control over your data, and provide high performance for complex analytics on large datasets[1][3].

https://github.com/databendlabs/databend