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AI · alternatives · 2026

24 alternatives to Cherry2.0 – text classification without ML knowledge needed

text classification - no machine learning knowledge needed - Windsooon/cherry

Cherry2.0 is a text classification tool designed for users who lack machine learning expertise. It enables categorizing and organizing text data without requiring specialized technical knowledge. The software is aimed… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Cherry2.0 – text classification without ML knowledge needed launched in 2019; newer entries below may have overtaken it.

  1. 1

    Get actionable data from text with machine learning

    2018 · medallia.com · its alternatives →

  2. 2

    Simple and customizable text classification with AI

    2019 · monkeylearn.com · its alternatives →

  3. 3

    Discover amazing ML apps made by the community

    2021 · huggingface.co · its alternatives →

  4. 4

    Hello HN! I became frustrated with the unpredictible/poor match quality and opaqueness of "relevance scores" in existing fuzzy and fulltext search libs, so I tried something different and this is the result. The main selling point is the result quality / ordering, with best-in-class memory overhead and excellent performance being bonuses. The API is pretty stable at this point, but looking for feedback before committing to 1.0. TL;DR The test corpus is a 4MB json file with 162k words/phrases, so give it a second for initial download. You can also drag/drop your own…

    2022 · github.com · its alternatives →

  5. 5

    The API for on-demand text classification (No LLMs)

    2024 · ycombinator.com · its alternatives →

  6. 6

    Get your unstructured data AI-ready in minutes

    2024 · tonic.ai · its alternatives →

  7. 7

    2020 · dafriedman97.github.io · its alternatives →

  8. 8NL

    Link: https://www.nlpdemystified.org/ Hi HN: After a year of work, I've published my free NLP course. The course helps anyone who knows Python and a bit of math go from the basics to today's mainstream models and frameworks. I strive to balance theory and practice, so every module consists of detailed explanations and slides along with a Colab notebook putting the ideas into practice (in most modules). The notebooks cover how to accomplish everyday NLP tasks including extracting key information, document search, text similarity, text classification, finding topics in…

    2022 · its alternatives →

  9. 9PT
  10. 10

    A robust Python tool for text-based AI training and generation using GPT-2. - minimaxir/aitextgen

    2020 · github.com · its alternatives →

  11. 11TN
  12. 12

    💥 Fast State-of-the-Art Tokenizers optimized for Research and Production - huggingface/tokenizers

    2020 · github.com · its alternatives →

  13. 13
    MakeML▲274

    Train Neural Networks without a line of code

    2019 · makeml.app · its alternatives →

  14. 14

    Hi HN: I published part one of my free NLP course. The course is intended to help anyone who knows Python and a bit of math go from the very basics all the way to today's mainstream models and frameworks. I strive to balance theory and practice and so every module consists of detailed explanations and slides along with a Colab notebook (in most modules) putting the theory into practice. In part one, we cover text preprocessing, how to turn text into numbers, and multiple ways to classify and search text using "classical" approaches. And along the way, we'll pick up useful bits on how to use…

    2022 · nlpdemystified.org · its alternatives →

  15. 15
    TextJam▲143

    The multi-player AI editor, for everyone who writes.

    2025 · textjam.com · its alternatives →

  16. 16

    Using word vectors to classify spam messages. Contribute to doodyparizada/word2vec-spam-filter development by creating an account on GitHub.

    2017 · github.com · its alternatives →

  17. 17

    Add Google-style smart compose to your software

    2021 · typewise.app · its alternatives →

  18. 18AN
  19. 19SF

    I've made a small Python library, designed for quick-and-easy prototyping of machine learning models. It's built on top of scikit-learn, to serialize and deserialize data from the forms you're likely to have, to the format used in scikit-learn. https://github.com/madman-bob/Smart-Fruit It's pretty bare-bones at the moment, but I thought I'd see if there was any interest before spending too much time on it. Let me know what you think.

    2018 · its alternatives →

  20. 20

    Vector space model implemented in a few lines . Contribute to felipehummel/TinySearchEngine development by creating an account on GitHub.

    2011 · github.com · its alternatives →

  21. 21

    Free point & click text analysis in the browser

    2018 · textalytic.com · its alternatives →

  22. 22WB
  23. 23

    OSS Python library for detecting silent ML model failure

    2022 · nannyml.com · its alternatives →

  24. 24

    spaCy is a free open-source library for Natural Language Processing in Python. It features NER, POS tagging, dependency parsing, word vectors and more.

    2015 · spacy.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 →