From c7381782167f754c35b1860a5738fbe88d66a9db Mon Sep 17 00:00:00 2001
From: Fernando Celmer <email@fernandocelmer.com>
Date: Mon, 6 Apr 2026 22:31:05 -0300
Subject: [PATCH] Add Dotflow to Pipelines section

---
 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index 58608ba..161a920 100644
--- a/README.md
+++ b/README.md
@@ -470,6 +470,7 @@
 * [SSPipe](https://sspipe.github.io/) - Python pipe (|) operator with support for DataFrames and Numpy, and Pytorch.
 * [pandas-ply](https://github.com/coursera/pandas-ply) - Functional data manipulation for pandas. <img height="20" src="img/pandas_big.png" alt="pandas compatible">
 * [Dplython](https://github.com/dodger487/dplython) - Dplyr for Python. <img height="20" src="img/R_big.png" alt="R inspired/ported lib">
+* [Dotflow](https://github.com/dotflow-io/dotflow) - A lightweight Python library for building execution pipelines with sequential, parallel, and background modes.
 * [sklearn-pandas](https://github.com/scikit-learn-contrib/sklearn-pandas) - pandas integration with sklearn. <img height="20" src="img/sklearn_big.png" alt="sklearn"> <img height="20" src="img/pandas_big.png" alt="pandas compatible">
 * [Dataset](https://github.com/analysiscenter/dataset) - Helps you conveniently work with random or sequential batches of your data and define data processing.
 * [pyjanitor](https://github.com/ericmjl/pyjanitor) - Clean APIs for data cleaning. <img height="20" src="img/pandas_big.png" alt="pandas compatible">