Dev tools · alternatives · 2026
24 alternatives to No-code data forecasting to predict non linear trends with seasonality
sybil.dev ist Ihre erste und beste Informationsquelle über sybil. Hier finden Sie auch weitere interessante Links. Wir hoffen, dass Sie bei Ihrer Suche erfolgreich sind!
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. No-code data forecasting to predict non linear trends with seasonality launched in 2020; newer entries below may have overtaken it.
- 1

- 2

Weather Forecast APIs with weather models from multiple national weather providers, combining the best models for accurate forecasts worldwide. Explore the API documentation to learn more about the available weather models, their origin countries, resolutions, forecast lengths, and update frequencie
2021 · open-meteo.com · its alternatives →
- 3NC
2020 · monument.ai · its alternatives →
- 4

This little project came about because I kept running into the same problem: cleanly differentiating sensor data before doing analysis. There are a ton of ways to solve this problem, I've always personally been a fan of using kalman filters for the job as its easy to get the double whammy of resampling/upsampling to a fixed consistent rate and also smoothing/outlier rejection. I wrote a little numpy only bayesian filtering/smoothing library recently (https://github.com/hugohadfield/bayesfilter/) so this felt like a fun and very useful first thing to…
2024 · github.com · its alternatives →
- 5
Zeroqode 2.0▲286Everything you need to build apps without code.
2018 · zeroqode.com · its alternatives →
- 6

- 7

- 8
LockedIn▲134Fast, Accurate Forecasting with your Excel Data
2024 · app.roadmap-tech.com · its alternatives →
- 9

- 10

Predict business critical outcomes, down to a specific date
2022 · obviously.ai · its alternatives →
- 11

- 12

- 13

- 14UA
2017 · unplu.gg · its alternatives →
- 15

Unlock the power of AI with no-code machine learning
2022 · graphite-note.com · its alternatives →
- 16

Hello! I'd like share about my sideproject https://gribstream.com It is an API to extract weather forecasting data from the National Blend of Models (NBM) https://vlab.noaa.gov/web/mdl/nbm and the Global Forecast System (GFS) https://www.ncei.noaa.gov/products/weather-climate-models/gl... . The data is freely available from AWS S3 in grib2 format which can be great but also really hard (and resource intensive) to work with, especially if you want to extract timeseries over long periods of time based on a few coordinates. Being able…
2024 · gribstream.com · its alternatives →
- 17

A Python toolkit for rule-based/unsupervised anomaly detection in time series - arundo/adtk
2019 · github.com · its alternatives →
- 18AC
2018 · allclearweather.com · its alternatives →
- 19

- 20

It's not what you say, it's how you say it
2016 · soundcloud.com · its alternatives →
- 21

LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION - moraieu/query-selector
2021 · github.com · its alternatives →
- 22

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 · its alternatives →
- 23

A simply budget app that predicts where the expenses are being made - victorqribeiro/budget
2018 · github.com · its alternatives →
- 24

Also compare
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 →