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Dev tools · alternatives · 2026

24 alternatives to Flupy – Data Pipelines in Python

Fluent data pipelines for python and your shell. Contribute to olirice/flupy development by creating an account on GitHub.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Flupy – Data Pipelines in Python launched in 2019; newer entries below may have overtaken it.

  1. 1

    I am excited to share pippy, which allows users to create configurable pipelines using Github Actions. If you have used Azure pipelines, in summary, this would be Azure Pipelines meets Github Actions. Cloud version: https://app.pippy.dev/login (closed beta) I am also open sourcing command line version: https://github.com/nixmade/pippy. Key features: - Automatic Rollback - Datadog Monitoring - Pause/Resume The product is built using open source orchestrator. Orchestrator: https://github.com/nixmade/orchestrator Orchestrator allows…

    2024 · pippy.dev · its alternatives →

  2. 2
    Taipy 3.0▲299

    Build powerful data and AI apps in pure Python

    2024 · github.com · its alternatives →

  3. 3

    Every data pipeline job I had to tackle required quite a few components to set up: - One tool to ingest data - Another one to transform it - If you wanted to run Python, set up an orchestrator - If you need to check the data, a data quality tool Let alone this being hard to set up and taking time, it is also pretty high-maintenance. I had to do a lot of infra work, and while this being billable hours for me I didn’t enjoy the work at all. For some parts of it, there were nice solutions like dbt, but in the end for an end-to-end workflow, it didn’t work. That’s why I decided to build an…

    2024 · github.com · its alternatives →

  4. 4

    An experimental programming language for data flow - calebwin/pipelines

    2019 · github.com · its alternatives →

  5. 5

    Python library for creating data pipelines with chain functional programming - EntilZha/PyFunctional

    2017 · github.com · its alternatives →

  6. 6

    :panda_face: Bringing the python data stack to the shell prompt - robdmc/pandashells

    2015 · github.com · its alternatives →

  7. 7

    Hi HN, We're Anna, Adrian, Marcin and Matt, developers of dlt. dlt is an open source library to automatically create datasets out of messy, unstructured data sources. You can use the library to move data from about anywhere into most of well known SQL and vector stores, data lakes, storage buckets, or local engines like DuckDB. It automates many cumbersome data engineering tasks and can by handled by anyone who knows Python. Here’s our Github: https://github.com/dlt-hub/dlt Here’s our Colab demo:…

    2023 · colab.research.google.com · its alternatives →

  8. 8

    Open source SQL interface to your favorite cloud APIs🧑‍💻

    2022 · steampipe.io · its alternatives →

  9. 9
    Magniv▲100

    One line data science infra, Open-Source Python library

    2022 · its alternatives →

  10. 10

    Treat Redis Lists like Unix Pipes. Contribute to lukasmartinelli/redis-pipe development by creating an account on GitHub.

    2015 · github.com · its alternatives →

  11. 11

    Create Siri Shortcuts with Python. Contribute to alexander-akhmetov/python-shortcuts development by creating an account on GitHub.

    2018 · github.com · its alternatives →

  12. 12

    Like the Graph but with Python

    2023 · its alternatives →

  13. 13

    Utility function to parallelise pipelines of Python asyncio iterators/generators - michalc/asyncio-buffered-pipeline

    2020 · github.com · its alternatives →

  14. 14

    Event-driven data pipelines. Contribute to erdewit/eventkit development by creating an account on GitHub.

    2019 · github.com · its alternatives →

  15. 15

    Cloud ready pure-python streaming data pipeline library - plecto/motorway

    2016 · github.com · its alternatives →

  16. 16

    Data pipelines for anyone with SQL or Python knowledge

    2022 · github.com · its alternatives →

  17. 17

    Data integration made easy. | Build one central data source.

    2019 · cdata.com · its alternatives →

  18. 18

    Flowpipe [1] is a new open source [2] cloud scripting engine from Turbot [3]. Some of you may already use Steampipe [4], our open-source [5] tool to live query cloud APIs. We believe DevOps teams need an easier way to orchestrate their cloud, build workflows and respond to events. But - because it's DevOps - that must be in code. In Flowpipe, pipelines are written in HCL and use simple primitives for HTTP requests, executing containers, running Lambda-compatible functions, querying databases like Steampipe and more. We have also published a large ecosystem of open source Flowpipe Mods [6].…

    2023 · github.com · its alternatives →

  19. 19AB

    2012 · blog.alonsebastian.com.ar · its alternatives →

  20. 20

    Hey everyone, we just released a new version of our Infrastructure as Code Python SDK that now runs entirely on your machine - no account required. LaunchFlow extends OpenTofu to provide features like multi-environment support [1], autoconfigured infrastructure clients [2], and API release management [3]. Our goal is to provide a Python-native infrastructure toolkit that handles everything from automating your infrastructure to using it in your application code. You can use our library of preconfigured OpenTofu modules to add GCP / AWS infrastructure to your app with just a few lines of…

    2024 · launchflow.com · its alternatives →

  21. 21

    shell, data, dataframes, rust, pipelines

    2023 · nushell.sh · its alternatives →

  22. 22

    Data validation simplified. Contribute to yaaminu/finicky development by creating an account on GitHub.

    2021 · github.com · its alternatives →

  23. 23

    AWS Lambda Runtime for PyPy 3.5. Contribute to iopipe/lambda-runtime-pypy3.5 development by creating an account on GitHub.

    2018 · github.com · its alternatives →

  24. 24

    Hello, HN community! This is the first time I’m doing a Show HN, and I'm excited to introduce the library I've been working and believing in for the last year, Taipy! This Python library was created to make building complete applications on data science and ML projects easier and so more accessible to end-users. Basically, it allows any data scientist to build a production-ready application and stop being stuck at the pilot stage. It’s all Python making having to do the job of creating and deploying the app a one to two person job instead of going for specialized developers that are…

    2024 · taipy.io · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →