Strongest current signal
Package downloads
79.0M/30d
Tracked on PyPI
▼ -23%
Ray framework company. Distributed computing for ML workloads.
Evidence spans packages, GitHub, developer discussion, and code adoption.
Evidence
Package demand leads here, with downstream usage and discussion filling in the picture.
Strongest current signal
79.0M/30d
Tracked on PyPI
787
Known dependents on PyPI
42.1K
Main repository stars
1/30d
Ranked #45 in category discussion
Summary
Anyscale shows both package demand and downstream use: 79.0M package downloads in the last 30 days and 3.6K public repositories importing its packages.
This summary draws from package registries, GitHub, developer discussion, and AI-Buzz collection where it adds real signal. As of April 11, 2026. Methodology
Research Brief
No recent Research Brief centers Anyscale yet. Start with the latest market reporting, then return here for the source-level evidence on this page.
Browse Research Briefs →Sustainability and maintenance signals from the primary public repository.
Additional evidence
AI-Buzz collects a small set of signals that do not show up cleanly in package and repository feeds.
Public repositories and source files importing packages tied to Anyscale.
Background and reference details
background, categories, funding, tools, and pricing history stay collapsed until you need them.
Anyscale builds Ray, the distributed computing framework for ML. Powers large-scale training and serving. Raised $100M Series C.
Raised $260M total - DAI rank #9 (top 3%) suggests strong developer adoption relative to funding.
Intel Capital, Addition
Andreessen Horowitz, Addition
NEA
Andreessen Horowitz
1.7M PyPI(50% of company total)
Ray framework company. Distributed computing for ML workloads.
1.7M PyPI(50% of company total)
A managed service for running and scaling Ray applications in the cloud, simplifying the deployment and management of distributed AI/ML workloads.
Anyscale pricing changes tracked over time
Source: Company pricing pageUpdates: WeeklyNote: Extracted via automated page analysis; verify on sourceMethodology →Historical metrics for Anyscale
Anyscale: PyPI Downloads down 84% (10.5M to 1.7M). GitHub Stars up 1% (41.8K to 42.1K). Contributors up 250% (2 to 7).
| Date | PyPI Downloads | GitHub Stars | Contributors |
|---|---|---|---|
| Mar 20, 2026 | 10.5M | 41.8K | 2 |
| Mar 27, 2026 | 11.8M | - | 2 |
| Apr 3, 2026 | 11.5M | 41.9K | 1 |
| Apr 10, 2026 | 6.6M | 42.0K | 12 |
| Apr 11, 2026 | 1.7M | 42.1K | 7 |