The easiest way to run Prophet at Scale

Use the familiar Prophet API to compute thousands of concurrent time-series forecasts in minutes. Zero additional engineering. Whether it is large retail dataset or an IOT stream, HyperProphet has you covered.

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how hyperprophet works

Prophet API but Lightening Fast

Create New API Key

Sign-up for an new account and generate an API key. Import the HyperProphet library and you are set.

A web interface to manage your forecast jobs
A simple CLI to access the service from your console

Prepare Your Dataframe

Bring all your bring your hourly, daily, weekly observations for last few months or years. Bring in causals too.

Bring all your transaction and causal data as a dataframe
Data is handled automatically in the backend. No manual upload

Scale Reliably, Effortlessly

HyperProphet makes distributed compute accessible without worrying about infrastructure.

All predictions are archived for a day. Download, use offline
HyperProphet makes it easy to scale your predictions
use cases

HyperProphet for Business

Accurate and timely business forecast is now more important than ever. Leverage the power of Prophet, an algorithm developed by Facebook, for your business.

You can forecast revenue streams, monthly active users, machine capacity, ad inventory and many more use-cases.

Financial Planning

Use HyperProphet forecast cash flows, predict price movements for products, plan advertising inventory and budgets.

DevOps & IT

HyperProphet helps you spot anomalies, detect potential network outages and enables you to plan future capacity needs.

Internet of Things

Predict performance anomalies in performance of critical assets, predict downtimes, enable predictive maintenance.

CPG/Retail/Ecommerce

HyperProphet helps you forecast sales, inventory level, potential stock-out events for each store-sku combination.

benefits

Faster Decisions and Productive Data Scientists

Lightening fast forecast computation means more time to experiment with new variables, data points and surface new use-cases. Utilize this new found time to build customer-centric products.

1

Data Scientist Friendly

Killer DX. No new API to learn. Run thousands concurrent forecasts in minutes. Turn data in decisions fast.

2

Reduced Complexity and Costs

All the complex infrastructure is abstracted away. No more scripts to manage clusters and machines. Just pay per use.

3

Built for Scale

Bring in any amount of data, run thousands of predictions concurrently. The service will scale effortlessly behind the scenes