Strongest current signal
Package downloads
79.3M/30d
Tracked on PyPI
▼ -23%
Ray framework company. Distributed computing for ML workloads.
Best current coverage: 79.3M downloads/30d, 787 dependents, and 3.6K public repos.
Lead signals
Package pull and public code usage both show up clearly for Anyscale.
Strongest current signal
79.3M/30d
Tracked on PyPI
787
Known dependents on PyPI
42.1K
Main repository stars
1/30d
Ranked #44 in category discussion
Research Brief
No recent Research Brief centers Anyscale yet. Start with the latest market reporting, then return here for the stored company signals on this page.
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package pull and existing public code are the clearest current signals for Anyscale.
Package pull
79.3M/30d
Tracked package pull on PyPI
Existing public code
3.6K
Public repositories importing tracked packages
Downstream usage
787
Known dependents on PyPI
Engineering activity
6
GitHub contributors active in the last 30 days
Coverage includes npm and PyPI registries, GitHub, public code import detection, developer discussion, and recent company news where available. As of April 14, 2026. Methodology
Sustainability and maintenance signals from the primary public repository.
These signals come from public code import detection and tracked hiring posts rather than registry totals alone.
Public repositories and source files importing packages tied to Anyscale.
Background and reference details
background, categories, funding, and tools 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 #11 (top 4%) suggests strong developer adoption relative to funding.
Intel Capital, Addition
Andreessen Horowitz, Addition
NEA
Andreessen Horowitz
1.5M PyPI(50% of company total)
Ray framework company. Distributed computing for ML workloads.
1.5M 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.
Public pricing snapshots collected for Anyscale
Source: Company pricing pageUpdates: WeeklyNote: Extracted via automated page analysis; verify on sourceMethodology →Historical metrics for Anyscale
Anyscale: GitHub Stars up 1% (41.8K to 42.1K). Contributors down 45% (11 to 6).
| Date | PyPI Downloads | GitHub Stars | Contributors |
|---|---|---|---|
| Mar 16, 2026 | - | 41.8K | 11 |
| Mar 22, 2026 | 10.6M | - | - |
| Mar 23, 2026 | - | 41.8K | 13 |
| Mar 29, 2026 | 12.2M | - | - |
| Mar 30, 2026 | - | 41.9K | 8 |
| Apr 5, 2026 | 10.9M | - | - |
| Apr 6, 2026 | - | 42.0K | 5 |
| Apr 12, 2026 | 6.4M | - | - |
| Apr 13, 2026 | 1.5M | 42.1K | 3 |
| Apr 14, 2026 | - | 42.1K | 6 |