#cplusplus #analytics #big_data #database #distributed #olap #realtime_database #sql #vectorized

https://github.com/StarRocks/starrocks

#rust #analytics #database #education #embedded_database #olap #sql

https://github.com/risinglightdb/risinglight

#svelte #analytics #couchdb #databases #docker #minio #mongodb #mysql #mysql_database #nextjs #nodejs #php #postgresql #reactjs #redis #self_hosting #static #vscode_server #vuejs

https://github.com/coollabsio/coolify

#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

#cplusplus #analytics #column_store #database #hacktoberfest #heatwave #htap #mysql #sql #stonedb #storage

https://github.com/stoneatom/stonedb

#python #analytics #business_intelligence #data_modeling #dbt_viewpoint #elt #pypa #slack

https://github.com/dbt-labs/dbt-core

#html #analytics #appsec #automation #devsecops #django #hacktoberfest #kubernetes #owasp #python #security #security_automation #security_orchestration #vulnerability_correlation #vulnerability_databases #vulnerability_management

https://github.com/DefectDojo/django-DefectDojo

#c_lang #age_database #agensgraph #analytics #graph_database #graphdb #multi_model_dbms #postgresql #postgresql_extension

https://github.com/apache/age

#python #analytics #api #billing #monetization #price_optimization #pricing #pricing_engine #product_led_pricing #saas #self_hosted #typescript #usage_based_billing #usage_based_pricing

https://github.com/uselotus/lotus

#go #analytics_database #clickhouse #database #golang #golang_driver #sql

https://github.com/ClickHouse/clickhouse-go

#rust #analytics #big_data #data_science #graph #graph_analytics #graph_computation #graph_computing #graph_data #graph_neural_networks #gremlin

https://github.com/alibaba/GraphScope

#typescript #analytics #cdp #community #community_building #community_led_growth #customer_data_platform #developer_advocacy #developer_led_growth #developer_marketing #developer_relations #devrel #hacktoberfest #marketing_dev #open_source

https://github.com/CrowdDotDev/crowd.dev

#typescript #analytics #apache #apache_superset #asf #bi #business_analytics #business_intelligence #data_analysis #data_analytics #data_engineering #data_science #data_visualization #data_viz #flask #python #react #sql_editor #superset

Superset is a powerful business intelligence tool that helps you explore and visualize data easily. It offers a no-code interface for building charts, a robust SQL Editor for advanced queries, and support for nearly any SQL database or data engine. You can create beautiful visualizations, define custom dimensions and metrics quickly, and use a lightweight caching layer to reduce database load. Superset also provides extensible security roles and authentication options, an API for customization, and a cloud-native architecture designed for scale. This makes it easier to analyze and present your data in a user-friendly way, replacing or augmenting proprietary BI tools effectively.

https://github.com/apache/superset

#python #analytics #dagster #data_engineering #data_integration #data_orchestrator #data_pipelines #data_science #etl #metadata #mlops #orchestration #python #scheduler #workflow #workflow_automation

Dagster is a tool that helps you manage and automate your data workflows. You can define your data assets, like tables or machine learning models, using Python functions. Dagster then runs these functions at the right time and keeps your data up-to-date. It offers features like integrated lineage and observability, making it easier to track and manage your data. This tool is useful for every stage of data development, from local testing to production, and it integrates well with other popular data tools. Using Dagster, you can build reusable components, spot data quality issues early, and scale your data pipelines efficiently. This makes your work more productive and helps maintain control over complex data systems.

https://github.com/dagster-io/dagster

#cplusplus #analytics #bigquery #cloud_native #cpp #database #distributed_database #distributed_transactions #hacktoberfest #htap #mysql #mysql_compatibility #mysql_database #oceanbase #olap #oltp #paxos #scalable #sql #vector_database

OceanBase Database is a powerful, distributed relational database developed by Ant Group. It offers several key benefits It can handle large amounts of data and scale easily.
- **Fast Performance** It saves up to 90% on storage costs.
- **Real-time Analytics** It ensures zero data loss and quick recovery times.
- **MySQL Compatibility**: It is easy to migrate from MySQL databases.

You can quickly start using OceanBase with simple deployment options using commands or Docker, making it easy to get started and benefit from its advanced features.

https://github.com/oceanbase/oceanbase