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Description
Flyte is a robust platform designed for automating intricate, mission-critical data and machine learning workflows at scale. It simplifies the creation of concurrent, scalable, and maintainable workflows, making it an essential tool for data processing and machine learning applications. Companies like Lyft, Spotify, and Freenome have adopted Flyte for their production needs. At Lyft, Flyte has been a cornerstone for model training and data processes for more than four years, establishing itself as the go-to platform for various teams including pricing, locations, ETA, mapping, and autonomous vehicles. Notably, Flyte oversees more than 10,000 unique workflows at Lyft alone, culminating in over 1,000,000 executions each month, along with 20 million tasks and 40 million container instances. Its reliability has been proven in high-demand environments such as those at Lyft and Spotify, among others. As an entirely open-source initiative licensed under Apache 2.0 and backed by the Linux Foundation, it is governed by a committee representing multiple industries. Although YAML configurations can introduce complexity and potential errors in machine learning and data workflows, Flyte aims to alleviate these challenges effectively. This makes Flyte not only a powerful tool but also a user-friendly option for teams looking to streamline their data operations.
Description
The InstaLILY Platform serves as the essential backbone for every solution offered by Lily, founded on the principle that while work processes may evolve, the underlying foundation remains constant. By designing software that aligns with the actual operations of a business, Lily utilizes a unified platform for managing contracts, connectors, access, testing, deployment, identity, auditing, observability, and runtime functionality. Rather than building each solution from scratch, Lily leverages existing workflows, systems, data, decisions, approvals, and insights inherent to the business, crafting agents and automations tailored to the specific needs of the work. This includes managing tasks such as quotes, schedules, approvals, follow-ups, routing, service tickets, inventory checks, contract terms, and customer updates, along with addressing other complex workflows that standard tools fail to meet. The platform ensures consistency across all solutions by maintaining standards for typed and versioned contracts, scoped permissions, explicit schemas, runnable examples, clear error messages, observable behaviors, thorough testing, conformance checks, and safe upgrade paths. By doing so, Lily not only enhances operational efficiency but also promotes seamless integration of new capabilities as business needs change.
API Access
Has API
API Access
Has API
Integrations
AWS Batch
Apache Hive
Apache Parquet
Apache Spark
Dask
DuckDB
Feast
Great Expectations
MLflow
ONNX
Integrations
AWS Batch
Apache Hive
Apache Parquet
Apache Spark
Dask
DuckDB
Feast
Great Expectations
MLflow
ONNX
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Union.ai
Founded
2020
Country
United States
Website
flyte.org
Vendor Details
Company Name
InstaLILY
Founded
2023
Country
United States
Website
www.instalily.ai/platform
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization