uptake/uptasticsearch
An Elasticsearch client tailored to data science workflows.
GitHub repository with 48 stars and 35 forks.
Language: R
Topics: data-engineering, data-science, document-database, elasticsearch, etl, nosql, python, r
An Elasticsearch client tailored to data science workflows.
GitHub repository with 48 stars and 35 forks.
Language: R
Topics: data-engineering, data-science, document-database, elasticsearch, etl, nosql, python, r
2026-06-05: 48 stars and 35 forks.
An R package for single-cell and spatial omics analysis, integration, interpretation, and visualization.
GitHub repository with 254 stars and 31 forks.
Trending score: 0.57; stars gained: +2; forks gained: +0.
Language: R
Produce PRISMA-2020 compliant flow diagrams
GitHub repository with 275 stars and 115 forks.
Trending score: 0.49; stars gained: +2; forks gained: +0.
Language: R
Topics: prisma, review, systematic, visualization, meta-analysis, reporting
Tools for making beautiful & useful command line interfaces
GitHub repository with 711 stars and 85 forks.
Trending score: 0.37; stars gained: +1; forks gained: +0.
Language: R
Topics: r, cli
GitHub repository with 10 stars and 0 forks.
Trending score: 0.33; stars gained: +1; forks gained: -1.
Language: R
Constituent history of the S&P 500 from various data sources
GitHub repository with 35 stars and 13 forks.
Trending score: 0.33; stars gained: +1; forks gained: +1.
Language: R
Topics: backtesting, equity-data, equity-research, sp500, sp500-data-analysis
Static Code Analysis for R
GitHub repository with 1,279 stars and 197 forks.
Trending score: 0.32; stars gained: +1; forks gained: +0.
Language: R
Topics: linter, r
ktx is an executable context layer for data and analytics agents 🐙 Allow Claude Code, Codex, and any AI agent to query data accurately through MCP with skills, memory and a semantic layer
GitHub repository with 883 stars and 45 forks.
Trending score: 2.76; stars gained: +24; forks gained: +1.
Language: TypeScript
Topics: agent, agent-skills, agents, ai-agent, ai-agents, analytics
Apache Superset is a Data Visualization and Data Exploration Platform
GitHub repository with 73,179 stars and 17,521 forks.
Trending score: 2.73; stars gained: +24; forks gained: +19.
Language: TypeScript
Topics: superset, apache, apache-superset, data-visualization, data-viz, analytics
Local-first ETL/ELT studio: a drag-and-drop visual pipeline designer that compiles to SQL and runs on DuckDB. Tiny desktop app, no servers, git-friendly workspaces.
GitHub repository with 274 stars and 20 forks.
Trending score: 2.64; stars gained: +36; forks gained: +0.
Language: Rust
Topics: data-engineering, data-integration, data-pipeline, data-quality, desktop-app, drag-and-drop
Incremental engine for long horizon agents 🌟 Star if you like it!
GitHub repository with 10,182 stars and 799 forks.
Trending score: 2.57; stars gained: +20; forks gained: +3.
Language: Rust
Topics: agentic-data-framework, ai, ai-agents, change-data-capture, codebase-intelligence, context-engineering
SeaTunnel Web is a visual tool for building and watching over your Apache SeaTunnel data pipelines, with drag-and-drop DAGs and simple connector setup.
GitHub repository with 278 stars and 30 forks.
Trending score: 1.85; stars gained: +57; forks gained: +5.
Language: TypeScript
Topics: batch, dag, data-engineering, data-integration, data-pipeline, etl
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
GitHub repository with 9,063 stars and 776 forks.
Trending score: 1.62; stars gained: +2; forks gained: +0.
Language: Rust
Topics: apache-iceberg, data-engineering, database, etl-pipeline, event-streaming, kafka