Alternatives

Products that do what CAP spots oddities in your log data does

1. 1CA
   CAP Analytics – Find anomalous lines from your files▲5

   2015 · demo.capdatatechnologies.com

2. 2KY
   Keep your data out of the wrong hands▲31

   2016 · truevault.com

3. 3LT
   l2met – Turn logs into metrics▲44

   2013 · r.32k.io

4. 4WA
   WOPR – A markup for rich terminal reports▲125

   2015 · github.com

5. 5MA
   Midas, a Streaming Anomaly Detector. Now Implemented in Go▲88

   2020 · github.com

6. 6
   Retention Grid▲95

   Opportunity Mining. Automated Selling.

   2014

7. 7AR
   Anomalous – Real-time monitoring for servers, applications, and logs▲50

   2013 · getanomalous.com

8. 8YA
   Yet Another Log Viewer▲12

   2015 · marsinvasion.github.io

9. 9DA
   Dit – A new kind of container file for standardizing data▲19

   2020 · github.com

10. 10FB
    Find bugs before your users do▲64

    2014 · bughunt.io

11. 11WD
    What do you think of my Mongo Logs Utility?▲8

    2016 · worktheme.com

12. 12AB
    A better way to analyze logs files on the command line▲25

    2015 · github.com

13. 13CC
    CoinMarketBook – CoinMarketCap, but with a different metric▲46

    2018 · coinmarketbook.cc

14. 14AF
    A fast lines-of-code counter written in Rust▲26

    2016 · github.com

15. 15TF
    Tail -f Your Cloudflare Logs▲6

    2019 · logflare.app

16. 16IM
    I made a OSS alternative to Weights and Biases▲6

    Hey HN! I made a completely open sourced alternative to Weights and Biases with (insert cringe) blazingly fast performance (yes we use rust and clickhouse) Weights and Biases is super unperformant, their logger blocks user code... logging should not be blocking, yet they got away with it. We do the right thing by being non blocking. Would love any thoughts / feedbacks / roasts etc

    2025 · github.com

17. 17ID
    Infracost diff – “Git diff” but for cloud costs▲16

    2021 · github.com

18. 18IJ
    I just open-sourced a small utility to make console.log better▲15

    2013 · github.com

19. 19AD
    Anomaly Detection in Ruby▲24

    2020 · github.com

20. 20TH
    The HN effect on Dictionary Domains (traffic and revenue numbers)▲12

    2014 · blog.justinthiele.com

21. 21WM
    We made a dataset differ! (Free, Open source)▲5

    2019 · github.com

22. 22AL
    Automated log analytics using machine learning▲11

    2017 · loomsystems.com

23. 23CH
    CapRally - Helping companies manage and track their capital raise▲10

    2012 · caprally.com

24. 24US
    UserMetrix -- Spend time fixing bugs not reproducing them▲8

    2011 · usermetrix.com

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