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Add Dotflow to Pipelines section #87

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1 change: 1 addition & 0 deletions README.md
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* [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">
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