AI · alternatives · 2026
24 alternatives to Airflow is cool but have you tried this for data 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. Airflow is cool but have you tried this for data pipelines? launched in 2022; newer entries below may have overtaken it.
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🧙 Build, run, and manage data pipelines for integrating and transforming data. - mage-ai/mage-ai
2022 · github.com · its alternatives →
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🧙 Build, run, and manage data pipelines for integrating and transforming data. - mage-ai/mage-ai
2022 · github.com · its alternatives →
- 3
🧙 Build, run, and manage data pipelines for integrating and transforming data. - mage-ai/mage-ai
2022 · github.com · its alternatives →
- 4
🧙 Build, run, and manage data pipelines for integrating and transforming data. - mage-ai/mage-ai
2022 · github.com · its alternatives →
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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 →
- 7
buildpipe▲116Compose, run and automate multi step AI developer workflows
May 2026 · buildpipe.com · its alternatives →
- 8
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Write and deploy custom ETL pipelines in Python
2018 · astronomer.io · its alternatives →
- 10
MarbleFlows▲350AI-generated forms to convert more leads and onboard users
2022 · app.marbleflows.com · its alternatives →
- 11
AI-powered data workflows with SQL + Python in one platform
2025 · fabi.ai · its alternatives →
- 12
Pipecat▲66Build AI workflows and assistants for your business
May 2026 · app.pipecat.in · its alternatives →
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Houston▲75Build low-cost, scalable & platform-agnostic data pipelines
2024 · callhouston.io · its alternatives →
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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 →
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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 →
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- 19GB
2019 · gaia-pipeline.io · its alternatives →
- 20IM
2017 · xyz.insightdataengineering.com · its alternatives →
- 21
Build powerful pipelines in any programming language. - gaia-pipeline/gaia
2018 · github.com · its alternatives →
- 22
I think graph is a wrong abstraction for building AI agents. Just look at how incredibly hard it is to make routing using LangGraph - conditional edges are a mess. I built Laminar Flow to solve a common frustration with traditional workflow engines - the rigid need to predefine all node connections. Instead of static DAGs, Flow uses a dynamic task queue system that lets workflows evolve at runtime. Flow is built on 3 core principles: * Concurrent Execution - Tasks run in parallel automatically * Dynamic Scheduling - Tasks can schedule new tasks at runtime * Smart Dependencies - Tasks can…
2024 · 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 →