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Dev tools · alternatives · 2026

24 alternatives to Spam classifier in Go using Naive Bayes

Spam classifier in pure Go using Naive Bayes. Contribute to igomez10/nspammer development by creating an account on GitHub.

This is a spam classification tool built in Go that uses Naive Bayes machine learning to identify unwanted messages. It's designed for developers who need to filter spam from legitimate content in their applications.… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    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 →

  2. 2SC
  3. 3AC
  4. 4

    It's my first time launching my own SaaS. I planned to develop it with a friend, but he refused to work with me because his developer skills are higher (in his opinion). I developed a simple online email scraper by keyword, hashtag, or followers using Google Search as a source of data (with Dorks) I will be glad to receive any feedback and suggestions.

    2025 · socleads.com · its alternatives →

  5. 5
    Almeta ML▲383

    Predict customer behavior on your site with ML, save on ads

    2024 · almeta.cloud · its alternatives →

  6. 6

    Spam detection in the physical world

    2017 · its alternatives →

  7. 7

    Am AI SMS spam blocker for iPhone built by a 17 year old

    2019 · apps.apple.com · its alternatives →

  8. 8

    A new tool that lets you spam back the spammer

    2020 · youvegotspam.mschfmag.com · its alternatives →

  9. 9

    AI-Powered SMS Spam Filtering

    2017 · getfilter.io · its alternatives →

  10. 10

    Detect and remove spam words in your emails

    2022 · mailmeteor.com · its alternatives →

  11. 11

    New AI classifier for indicating AI-written text

    2023 · openai.com · its alternatives →

  12. 12

    Get actionable data from text with machine learning

    2018 · medallia.com · its alternatives →

  13. 13

    Add powerful spam filtering to your Mac’s e-mail client

    2018 · c-command.com · its alternatives →

  14. 14

    API for classifying contact form spam

    2023 · botbutcher.com · its alternatives →

  15. 15
    Unspam AI▲385

    See how your subscribers read your emails with our AI inbox

    2024 · unspam.email · its alternatives →

  16. 16

    Simple and customizable text classification with AI

    2019 · monkeylearn.com · its alternatives →

  17. 17

    Block unwanted SMS spam text messages

    2017 · apps.apple.com · its alternatives →

  18. 18

    Email spam checker and newsletter heatmap prediction.

    2020 · unspam.email · its alternatives →

  19. 19
    Owly▲108

    An AI powered iOS mobile app that blocks spam messages

    2024 · apps.apple.com · its alternatives →

  20. 20SA

    Hey all, author here! This is a demo of the rules engine we built to fight spam/abuse on the internet. It was built based on learnings from Facebook & Google, while trying to make a language that makes it simple for anti-spam analysts to quickly (and safely) deploy rules to production. Unfortunately it looks like the Twitter event feed is temporarily down (they're blocking it, possibly as part of shutting down the API on Thursday). I have a cache of events from a little earlier that I'm going to try play through the stream.

    2023 · websqrl.vercel.app · its alternatives →

  21. 21

    Machine Learning-based SMS spam filter for iOS 11

    2017 · apps.apple.com · its alternatives →

  22. 22

    Self-contained Machine Learning and Natural Language Processing library in Go - nlpodyssey/spago

    2020 · github.com · its alternatives →

  23. 23

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

    2019 · github.com · its alternatives →

  24. 24

    A powerful spam filter for any content exchange.

    2019 · oopspam.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 →