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Alternatives

Products that do what CRONOS-Temporal Pattern Recognition does

CRONOS: time-series intelligence with zero training data

  1. 1
    Crono654

    All-in-one sales automation platform for B2B sales teams

    2024 · crono.one

  2. 2
    Crono 2.0160

    The first AI GTM Platform for B2B Sales Teams

    Nov 2025

  3. 3UJ
  4. 4
    LockedIn134

    Fast, Accurate Forecasting with your Excel Data

    2024

  5. 5

    Predict business critical outcomes, down to a specific date

    2022

  6. 6
    Crono94

    Outreach personalisation at scale with data and AI

    2025

  7. 7

    Forecasting for developers

    2018

  8. 8MT
  9. 9

    Where sales teams and AI agents work side by side.

    Apr 2026 · crono.one

  10. 10
    Meqem71

    Forecasting time series data made easy 📈

    2018

  11. 11DS
  12. 12
    Epoch95

    A general purpose library for building real-time charts.

    2014

  13. 13QF
  14. 14

    API for beautiful interactive graphics from time-series data

    2014

  15. 15CA
  16. 16

    Simple, affordable app intelligence for mobile startups

    2016

  17. 17R

    At RedisLabs, we've just released the first release candidate of RedisTimeSeries - a time series data structure for Redis. We would love to get your feedback! https://github.com/RedisTimeSeries/RedisTimeSeries/releases/...

    2019

  18. 18UA
  19. 19

    Sales forecasting platform powered by AI

    2018

  20. 20CC

    Hi HN, We built Cronus, a context-aware time tracker for macOS that uses LLMs to differentiate productive tasks from distractions—even on sites like YouTube or LinkedIn. Existing apps frustrated us because they either strictly blocked useful sites or required constant manual tracking. Cronus understands context automatically: - Accurately labels productive vs. distracted time (e.g., coding tutorial vs. random scrolling) - Menu-bar mini-timer to subtly gamify productivity - Supports 24h time-tracking with ai suggestions based on calendar activity - Understand where you actually spend your…

    2025 · cronushq.com

  21. 21AN
  22. 22TD
  23. 23PS

    We’ve built a Python SDK for running inference on foundation models designed for time-series and tabular data. They are new SOTA models for time-series and tabular tasks and work out of the box. They do not require model training or feature engineering. The link to the GitHub repository is: https://github.com/S-FM/faim-python-client

    Dec 2025 · github.com

  24. 24

    Automatic time tracking & productivity for macos

    Nov 2025

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