📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics
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GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
- bigquery
- duckdb
- llm
- postgresql
A curated list of awesome network analysis resources.
- network-analysis
- network-visualization
- complex-networks
- political-networks
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
- computer-vision
- annotate-images
- entity-recognition
- desktop
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
- deep-learning
- agriculture
- pytorch
- dataset
Deep and Machine Learning for Microscopy
- microscopy
- materials
- machine-learning
- materials-science
Python histogram library - histograms as updateable, fully semantic objects with visualization tools. [P]ython [HYST]ograms.
- histogram
- plotting
- python
- visualization
Source-available semantic and context layer, rule engine, and semantic sidecar for agentic AI and governed analytics. Compiles declarative YAML models into optimized SQL, KPIs, and semantic context across 8 SQL dialects.
- clickhouse
- databricks
- dremio
- mcp
Turn CSV, Excel, and read-only databases into verified, editable business reports.
- data-visualization
- self-hosted
- sql
- text-to-sql