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AI · alternatives · 2026

24 alternatives to Open-source code editor for transforming data and building ML pipelines

🧙 Build, run, and manage data pipelines for integrating and transforming data. - mage-ai/mage-ai

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Open-source code editor for transforming data and building ML pipelines launched in 2022; newer entries below may have overtaken it.

  1. 1

    🧙 Build, run, and manage data pipelines for integrating and transforming data. - mage-ai/mage-ai

    2022 · github.com · its alternatives →

  2. 2

    🧙 Build, run, and manage data pipelines for integrating and transforming data. - mage-ai/mage-ai

    2022 · github.com · its alternatives →

  3. 3

    🧙 Build, run, and manage data pipelines for integrating and transforming data. - mage-ai/mage-ai

    2022 · github.com · its alternatives →

  4. 4

    Mage AI helps data teams build, orchestrate, monitor, and repair production data pipelines with editable SQL and Python for analytics, applications, and AI.

    2022 · mage.ai · its alternatives →

  5. 5
    Mage▲595

    The fastest way to build and use AI

    2022 · mage.ai · its alternatives →

  6. 6

    🧙 Build, run, and manage data pipelines for integrating and transforming data. - mage-ai/mage-ai

    2022 · github.com · its alternatives →

  7. 7BP

    TLDR: Product developers need tools designed for them to build ML models. We’d love for you to try a demo of Mage without needing to sign up: https://www.mage.ai/onboarding My name is Tommy DANGerous (or Tommy Dang) and I’m the CEO and co-founder at Mage. I worked at Airbnb for over 5 years as a product developer building features for guests. Mage is a web-based tool for building, training, and deploying ML models that make predictions based off your data. Training and using ML models in production typically requires working knowledge of building data pipelines, algorithms,…

    2022 · its alternatives →

  8. 8

    node-based editor for exploring, analyzing and transforming data without code

    2021 · datablocks.pro · its alternatives →

  9. 9
    buildpipe▲116

    Compose, run and automate multi step AI developer workflows

    May 2026 · buildpipe.com · its alternatives →

  10. 10
    Fei▲292

    Unify design, product & dev into a single AI native workflow

    2025 · autonomyai.io · its alternatives →

  11. 11IM

    2017 · xyz.insightdataengineering.com · its alternatives →

  12. 12

    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 →

  13. 13
    refinery▲113

    Treating training data as if it was source code

    2022 · accompio.com · its alternatives →

  14. 14

    AI-powered data workflows with SQL + Python in one platform

    2025 · fabi.ai · its alternatives →

  15. 15

    Open source unstructured data ETL for AI first applications

    2024 · instill-ai.com · its alternatives →

  16. 16
    HFlow▲91

    Scalable multimodal data pipelines for robotics

    Aug 2026 · github.com · its alternatives →

  17. 17
    Mage▲91

    AI-powered collaborative streaming for gamers and developers

    2023 · mage.stream · its alternatives →

  18. 18

    Build powerful pipelines in any programming language. - gaia-pipeline/gaia

    2018 · github.com · its alternatives →

  19. 19
    ZenML▲84

    Create reproducible machine learning pipelines

    2020 · github.com · its alternatives →

  20. 20

    We’re Robin, Louis, and Thomas. Pipelex is a DSL and a Python runtime for repeatable AI workflows. Think Dockerfile/SQL for multi-step LLM pipelines: you declare steps and interfaces; any model/provider can fill them. Why this instead of yet another workflow builder? - Declarative, not glue code: you state what to do; the runtime figures out how. - Agent-first: each step carries natural-language context (purpose, inputs/outputs with meaning) so LLMs can follow, audit, and optimize. Our MCP server enables agents to run pipelines but also to build new pipelines on demand. - Open…

    Oct 2025 · github.com · its alternatives →

  21. 21

    I've been exploring the (not so=) amazing potential of AI in coding and have compiled a list of tools. From AI-powered IDEs to code generators, this resource is my contribution to the community. I'm still on the fence about including txt2sql projects, as their functionality seems too basic to me. And I'm personally maintaining this, so your feedback is wellcome.

    2025 · aicode.danvoronov.com · its alternatives →

  22. 22

    Power up your workflows

    2023 · its alternatives →

  23. 23
    Pipecat▲66

    Build AI workflows and assistants for your business

    May 2026 · app.pipecat.in · its alternatives →

  24. 24

    Hey HN! We are building *open source infrastructure for deploying customer-facing data pipelines.* Here’s our repo https://github.com/pipebird/pipebird and website https://pipebird.com/. Pipebird (YC W22) is designed to enable companies that generate important data to offer secure data pushes to their customers’ warehouses, directly from their products. Our team was previously building in fintech, where we heard from many of our peers that their customers wanted data pushed directly to their warehouses. Customers wanted to bring data into their source of…

    2022 · github.com · 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 →