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AI · alternatives · 2026

24 alternatives to Ploomber

Open-source framework for modular data science, ML pipelines

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Ploomber launched in 2022; newer entries below may have overtaken it.

  1. 1

    Deploy AI/ML/data apps for free.

    2023 · its alternatives →

  2. 2PC

    Hi, we’re Ido & Eduardo, the founders of Ploomber. We’re launching Ploomber Cloud today, a service that allows data scientists to scale their work from their laptops to the cloud. Our open-source users (https://github.com/ploomber/ploomber) usually start their work on their laptops; however, often, their local environment falls short, and they need more resources. Typical use cases run out of memory or optimize models to squeeze out the best performance. Ploomber Cloud eases this transition by allowing users to quickly move their existing projects into the cloud without…

    2022 · its alternatives →

  3. 3

    Open-source collaborative agentic workspace for data teams

    Sep 2026 · alkera.ai · its alternatives →

  4. 4

    Run hundreds of parallel ML experiments in the cloud

    2022 · its alternatives →

  5. 5

    Transform data chaos into scientific clarity with Quilt, the AI-powered platform that accelerates research and ensures compliance for life sciences teams.

    2017 · quiltdata.com · its alternatives →

  6. 6DA

    Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…

    2020 · its alternatives →

  7. 7
    Floyd▲469

    Heroku for deep learning

    2017 · blog.floydhub.com · its alternatives →

  8. 8

    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 →

  9. 9

    I've been obsessed for the past ~year with the possibilities of talking to LLMs. I built a bunch of one-off prototypes, shared code on X, started a Meetup group in SF, and co-hosted a big hackathon. It turns out that there are a few low-level problems that everybody building conversational/real-time AI needs to solve on the way to building/shipping something that works well: low-latency media transport, echo cancellation, voice activity detection, phrase endpointing, pipelining data between models/services, handling voice interruptions, swapping out different…

    2024 · github.com · its alternatives →

  10. 10

    Build and fine-tune custom LLMs on your private data

    2023 · ludwig.ai · its alternatives →

  11. 11
    Orchest▲112

    An open source tool for creating data science pipelines

    2020 · orchest.io · its alternatives →

  12. 12

    The spreadsheet for creative growth

    2024 · databar.ai · its alternatives →

  13. 13
    Magniv▲100

    One line data science infra, Open-Source Python library

    2022 · its alternatives →

  14. 14

    Open Data Platform for analysts, quants and AI agents. - OpenBB-finance/OpenBB

    2023 · github.com · its alternatives →

  15. 15

    All-in-one data studio: AI-powered, real-time collaboration

    2023 · morph-data.io · its alternatives →

  16. 16

    Open source unstructured data ETL for AI first applications

    2024 · instill-ai.com · its alternatives →

  17. 17
    OpenMolt▲132

    Hi HN! I built OpenMolt, an open-source framework for creating programmatic AI agents in Node.js. Instead of wiring complex workflows (that can break), you define agents in code with instructions, tools, integrations, and memory. The agent then plans steps and executes actions like calling APIs, updating data, or interacting with services. When things break or change, the agent can adapt instead of failing like static workflows. The goal is to make agents behave more like real software systems than prompt scripts. It includes: - a planning/execution loop - tool and API integrations -…

    Mar 2026 · openmolt.dev · its alternatives →

  18. 18

    Share notebooks with one click in Jupyter

    2023 · its alternatives →

  19. 19
    Helix▲153

    Train your own AI with open-source AI and your data

    2023 · helix.ml · its alternatives →

  20. 20
    Modelbit▲125

    Heroku for Data Science, from the founders of Periscope Data

    2023 · modelbit.com · its alternatives →

  21. 21

    CleverBee - The Open Source Deep Researcher Tool. Contribute to SureScaleAI/cleverbee development by creating an account on GitHub.

    2025 · github.com · its alternatives →

  22. 22CO
  23. 23BA
  24. 24
    Ludwig▲167

    Uber's code-free deep learning toolbox

    2019 · uber.github.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 →