Fast Interactive Data Analysis Pipelines
A lightweight and intuitive framework for building interactive data analysis pipelines. You add R functions one by one, and pipeflow wires them into a pipeline that stays consistent as you go. Modify,
DataR · HTMLGitHub @rpahlOnlineOwner unconfirmed
Have you tried it? One tap is enough. No sign-in needed.
- Availability
- Online
- 30-day uptime 100%
- Latest code update
- Nov 1
- Active repository
- Contributors
- 4
- Forks 3
- License
- Not identified · check the original
- Listed on nomorevibe
- Nov 5
- Repository created July 2023
Languages
- R 71.3%
- HTML 23.3%
- C++ 3.1%
- Typst and others 2.3%
Updates1 in the last 30 days
All- v0.5.0 CRAN releaseGitHub release ↗
- v0.4.0 CRAN releaseGitHub release ↗
- v0.3.0 CRAN releaseGitHub release ↗
Comments
Newest first
Loading comments.
Trending in Data
GitHub star growth between the latest completed 8-hour observations
Omnigraph
Graph engine for context assembly. Object-storage native. Agents work with graph data the way engineers work with code: branched, typed, reviewed, merged, audited, and governed.
pgx
PGX — Lightweight Postgres for AI agents. Written in Rust. Thousands of isolated databases in one runtime. 🐘
Translation pending
olake
OLake - Fastest Databases, Kafka & S3 Replication to Apache Iceberg with Table optimization (Called OLake Fusion). ⚡ Efficient, quick and scalable data ingestion for real-time analytics. Supported so
K-Dense
K-Dense builds AI agents for real research — K-Dense Web, K-Dense Enterprise, and open-source tools that execute complex work across science and industry.