Alternatives

Products that do what Pipelines does

1. 1PL
   Pipelines – Language for scripting parrallel pipelines with Python▲69

   2019 · github.com

2. 2C
   CloudTunes▲307

   2014 · github.com

3. 3GB
   Gaia – Build pipelines in any programming language▲231

   2019 · gaia-pipeline.io

4. 4TT
   Trickle/tritty, a 600 baud pipe/terminal▲65

   2017 · asciinema.org

5. 5GD
   Goodreads Data Pipeline▲213

   2020 · github.com

6. 6D
   Depot▲39

   2014 · depothq.com

7. 7PB
   PipeSQL – Building SQL queries bottom-up using pipes and filters▲36

   2014 · pipesql.com

8. 8DW
   Deep Work Hours▲112

   2019 · pomodoro-80211.firebaseapp.com

9. 9
   pipe▲46

   Pipe coldpress datasets straight into your pipeline

   2024

10. 10PP
    Parallelise pipelines of Python async iterables▲71

    2020 · github.com

11. 11B
    Boxes▲52

    2014 · theboxes.co

12. 12BF
    Bloom Filter▲65

    2017 · sacert.github.io

13. 13PC
    Pipecat – Connect message queues with Unix pipes▲48

    2016 · github.com

14. 14PP
    Pipeglade – Pipe-Driven GTK+ Interfaces▲47

    2015 · pipeglade.boundp.org

15. 15MD
    ML & data pipeline deployment for humans▲8

    2019 · omegaml.io

16. 16S
    Sproute▲29

    2014 · getsproute.com

17. 17PF
    Pipelines: framework and language for crafting data pipelines▲5

    2019 · github.com

18. 18I3
    Inlets 3.0 RC1▲33

    2021 · github.com

19. 19S
    Scrawl▲34

    2016 · demos.samgentle.com

20. 20VP
    Vi-pipe, edit and replay text changes in the middle of a shell pipeline▲6

    2022 · github.com

21. 21TZ
    The Zen of Data Pipelines (Book)▲27

    2017 · gpestana.gitbooks.io

22. 22PA
    Pipevals – a visual pipeline builder for evaluation-driven AI▲6

    Hey HN! Pipevals is early and rough (this is a learning project), but usable. It currently lets you: - build evaluation pipelines as graphs - run them against datasets - track how output quality changes over time

    Mar 2026 · github.com

23. 23RS
    Running stuff when needed▲6

    2017 · medium.com

24. 24AI
    Airflow is cool but have you tried this for data pipelines?▲9

    2022 · github.com

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