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Life & fun · alternatives · 2026

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Dataturks is an online annotation tool designed for machine learning projects involving text and image data. It helps teams label and prepare datasets needed to train ML models. The platform serves data scientists… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Dataturks, online annotation tool for text and vision ML launched in 2018; newer entries below may have overtaken it.

  1. 1MD
  2. 2

    Intuitive Annotation Tool for Information Extraction / Named Entity Recognition using localturk / Amazon Mechanical Turk - Varal7/ieturk

    2018 · github.com · its alternatives →

  3. 3

    The easy way to turn text into structure data

    2021 · getmarkup.com · its alternatives →

  4. 4

    Manage your computer vision data labeling

    2024 · labelyourdata.com · its alternatives →

  5. 5

    Build and share datasets to experiment with ML

    2021 · datatorch.io · 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
    Datature▲271

    No-code platform for building deep neural nets

    2021 · datature.io · its alternatives →

  8. 8AL

    Hi HN! I am Maria, solo founder of DataQA (https://dataqa.ai/), a tool to search and label documents for various NLP tasks (e.g. entity extraction, entity linking, etc). I have worked as a data scientist and ML engineer for the better part of a decade, and over that time have specialised mainly in applications involving natural language processing (NLP). One of the key questions I have always had at the back of my mind is whether my time was well spent. Whenever I spent more time on feature engineering or trying different models, I always wondered whether I would get better…

    2021 · its alternatives →

  9. 9

    Accelerating open machine learning research with Cloud TPUs

    2017 · sites.research.google · its alternatives →

  10. 10
    Dataku▲299

    Your smartest data extraction helper powered by AI

    2024 · dataku.ai · its alternatives →

  11. 11

    All-in-one data annotation platform for machine learning

    2019 · its alternatives →

  12. 12

    Hi HN, I’ve been working on an OCR pipeline specifically optimized for machine learning dataset preparation. It’s designed to process complex academic materials — including math formulas, tables, figures, and multilingual text — and output clean, structured formats like JSON and Markdown. Some features: • Multi-stage OCR combining DocLayout-YOLO, Google Vision, MathPix, and Gemini Pro Vision • Extracts and understands diagrams, tables, LaTeX-style math, and multilingual text (Japanese/Korean/English) • Highly tuned for ML training pipelines, including dataset generation and…

    2025 · github.com · its alternatives →

  13. 13
    Gengo.ai▲125

    22,000 linguists annotate your machine learning data 👩🏽‍💻🌏

    2018 · its alternatives →

  14. 14

    Annotate complex data 10x faster with AI

    2022 · datature.io · its alternatives →

  15. 15

    Human-guided AI data annotation, fast & scalable

    Feb 2026 · annotateai.xyz · its alternatives →

  16. 16

    Manage your entire data labeling workflow with a single tool

    2020 · datasaur.ai · its alternatives →

  17. 17WA
  18. 18

    Data for machine learning in 300+ languages 🌎🤓🤖

    2019 · its alternatives →

  19. 19

    Help teams apply machine learning to real-world applications

    2017 · its alternatives →

  20. 20PA

    Hey HN, I’m Jordan cofounder of Humanloop (YC S20) and I’m excited to show you Programmatic — an annotation tool for building large labeled datasets for NLP without manual annotation. Programmatic is like a REPL for data annotation. You: 1. Write simple rules/functions that can approximately label the data 2. Get near-instant feedback across your entire corpus 3. Iterate and improve your rules Finally, it uses a Bayesian label model [1] to convert these noisy annotations into a single, large, clean dataset, which you can then use for training machine learning models. You can…

    2022 · programmatic.humanloop.com · its alternatives →

  21. 21

    A Linux desktop in the cloud built for Machine Learning

    2016 · its alternatives →

  22. 22

    :earth_americas: Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK) - CNTK-World/README.rst at master · astorfi/CNTK-World

    2017 · github.com · its alternatives →

  23. 23DC
  24. 24

    A GPT-4 powered data science team for everyone

    2023 · 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 →