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Dev tools · alternatives · 2026

24 alternatives to Optumi

A JupyterLab extension to scale ML development & training

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

  1. 1

    Hey HN! We’ve forked Jupyter Lab and added AI code generation features that feel native and have all the context about your notebook. You can see a demo video (2 min) here: https://www.tella.tv/video/clxt7ei4v00rr09i5gt1laop6/view Try a hosted version here: https://pretzelai.app Jupyter is by far the most used Data Science tool. Despite its popularity, it still lacks good code-generation extensions. The flagship AI extension jupyter-ai lags far behind in features and UX compared to modern AI code generation and understanding tools (like…

    2024 · github.com · its alternatives →

  2. 2

    A generative AI pair programmer optimized for data science

    2023 · its alternatives →

  3. 3
  4. 4

    connect nodes to build AI pipelines, powered by Hugging Face

    2024 · gradio.app · its alternatives →

  5. 5
    MakeML▲274

    Train Neural Networks without a line of code

    2019 · makeml.app · its alternatives →

  6. 6

    Jupyter notebooks you can run on free cloud GPUs

    2019 · its alternatives →

  7. 7MW

    Mito is AI for your Jupyter Notebook workflow. Use the Jupyter Agent, SQL, Database Connections, and Streamlit Apps for EDA and automations.

    2021 · trymito.io · its alternatives →

  8. 8

    a delightful machine learning tool that allows you to train, test, and use models without writing code - nidhaloff/igel

    2020 · github.com · its alternatives →

  9. 9

    Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…

    2025 · github.com · its alternatives →

  10. 10

    Hi HN, We just opened public access to Qwen3‑Coder‑480B‑A35B‑Instruct via a REST&#x2F;SDK API. Why it might be interesting: - Fully open-source (Apache‑2.0): https:&#x2F;&#x2F;github.com&#x2F;QwenLM&#x2F;Qwen3-Coder - 480B params (35B active MoE), long context up to 1M tokens with YaRN - Matches Claude Sonnet&#x2F;GPT‑4o on SWE-Bench Verified (81.6%) - Free tier: 100K tokens&#x2F;month

    2023 · netmind.ai · its alternatives →

  11. 11KA

    Hi HN, We're the founders of https:&#x2F;&#x2F;kyso.io We want to make it really easy to share data-science within teams, and we've started with Jupyter notebooks. We render the notebooks really nicely, so you can embed interactive visualisations like Bokeh, and Plotly plots. Another nice thing is we allow you to hide the code for non-technical readers, so you basically get a beautiful data blog. Look at https:&#x2F;&#x2F;kyso.io&#x2F;laura&#x2F; for some examples. We really want to hear your feedback, let us know what you think!

    2017 · its alternatives →

  12. 12

    Open source data labelling platform for AI model tuning

    2023 · labelstud.io · its alternatives →

  13. 13AD
  14. 14

    Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work! - gradio-app/gradio

    2020 · github.com · its alternatives →

  15. 15

    Hello HN, We built Promptrepo to make finetuning accessible to product teams — not just ML engineers. Last week, OpenAI’s CPO shared how they use fine-tuning for everything from customer support to deep research, and called it the future for serious AI teams. Yet most teams I know still rely on prompting, because fine-tuning is too technical, while the people who have the training data (product managers and domain experts) are often non-technical. With Promptrepo, they can now: - Add training examples in Google Sheets - Click a button to train - Deploy and test instantly - Use OpenAI,…

    2025 · promptrepo.com · its alternatives →

  16. 16
    Lime AI▲89

    Create Jupyter notebooks with AI

    2023 · datalimeai.com · its alternatives →

  17. 17

    Full-Stack Platform for Training Small Language Models

    Jul 2026 · freesolo.co · its alternatives →

  18. 18

    Today I'm open sourcing "Grid studio", a web-based spreadsheet application with full integration of the Python programming language.

    2019 · hackernoon.com · its alternatives →

  19. 19FH

    Hi, This is Dan and Genevieve from Burstable AI. We've iterated and made a 45 degree pivot, taking what we learned from developing burst (https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=28191459) to introduce a cloud service that provides access to a GPU-enabled machine using Jupyterlab to provide notebooks, shell access, and a code&#x2F;text editor. GPU access is measured and the first 50 hours are free. This is *not* a platform to do crypto mining or run weeks of model training for free. We are focused on the R & D phase of modern AI&#x2F;ML, where developers&#x2F;scientists are…

    2022 · cloudburst.host · its alternatives →

  20. 20
    ZenML▲84

    Create reproducible machine learning pipelines

    2020 · github.com · its alternatives →

  21. 21
    Mito AI▲140

    ChatGPT for Spreadsheets

    2023 · trymito.io · its alternatives →

  22. 22

    A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python. - reiinakano/xcessiv

    2017 · github.com · its alternatives →

  23. 23

    Hello everyone, I would like to introduce our startup to HN: Mineo.app. Mineo.app is a production-ready SaaS Python notebook that provides a complete environment for building your data applications: Dashboards, Reports, and Data Pipelines based on Python notebooks. Key features: * Superpowered jupyter-compatible Python notebooks with extra goodies like: version control, commenting support, custom docker images, etc... enhanced with no code components that allow to create beautiful dashboards and reports. * Data Pipelines: Ability to schedule and run one or more notebooks. * Integrated file…

    2023 · mineo.app · its alternatives →

  24. 24

    A collaboration platform for data scientists

    2019 · deepnote.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 →