Flyte
This advertisement has not been verified
To feature it in our catalog and promote it to users, please complete the payment process.
Verify and promote
Flyte

Flyte

Flyte is a really flexible and scalable platform for managing your workflows. It effortlessly brings together your data, machine learning, and analytics systems, making it much sim..
5.0(1)
Free version
View details

Product Information

Description

Flyte is a really flexible and scalable platform for managing your workflows. It effortlessly brings together your data, machine learning, and analytics systems, making it much simpler to create high-quality data and ML workflows for a super smooth experience.

How to use

Here's how you can use Flyte:
1. Build your data and machine learning workflows using our user-friendly Python SDK or any other programming language you like.
2. Test and refine your workflows in a small Flyte environment or sandbox.
3. Watch how your workflows run by monitoring their data lineage and logs.
4. Create cool visualizations and graphs with FlyteDecks, or just analyze your data visually.
5. Launch your workflows in the cloud or on-premises without dealing with tricky infrastructure management.
6. Easily scale your workflows up or down, changing resource allocation as needed.

Note: Flyte comes with tons of integrations and features, making it perfect for many applications in data, machine learning, analytics, bioinformatics, and AI orchestration.

Useful cases

AI orchestration
Bioinformatics
Data analytics
Data processing
Distributed model training

Core features

  • Work together easily with reusable components.
  • Resources automatically adjust, no infrastructure changes needed.
  • Effortlessly brings together your data, ML, and analytics setups.
  • Track the complete journey of your data to monitor workflow health.
  • Smooth integrations right at the platform level.
  • Visualize and create plots with FlyteDecks.
  • An infinitely scalable and flexible platform for orchestrating workflows.
  • It can scale to handle any changing workload or resource need.
  • Do rapid experiments with software that's ready for production.
  • Empowers data practitioners and scientists to work on their own.
This website uses cookies
A cookie is stored on your device to give you a better experience of the website. By continuing to browse the site, you agree to this. If you want more information, read about our Cookies Policy.