Downloads49.5M/30d
Tracked on PyPI
Ray framework company. Distributed computing for ML workloads.
AI InfrastructureFounded January 2019Ranked #9 of 265 in Developer Adoption
Latest metrics
Downloads49.5M/30d
Tracked on PyPI
Projects using this801
Projects depending on this on PyPI
GitHub stars42.2K
Main repository stars
Sources PyPI registry · GitHub · public code imports · developer discussion · recent company news·Methodology
Lead signals
Strongest current signal
49.5M/30d
Tracked on PyPI
Supporting signals
Projects depending on this on PyPI
801
Main repository stars
42.2K
Ranked #43 in category discussion
1/30d
Underlying data
Historical charts and technical context
12 months across 6 public signals · 4 repo health signals · code usage across 3.6K repos
Maintenance signals from the main open-source repository.
Public repositories and source files importing packages tied to Anyscale.
Reference
Background and reference details
Founded 2019 · Strategic Investment ($260M) · 1 category · 2 tools · 20 pricing snapshots
Anyscale builds Ray, the distributed computing framework for ML. Powers large-scale training and serving. Raised $100M Series C.
Raised $260M total. AI-Buzz tracks some developer-adoption evidence here, but the primary category cohort is still too thin for a stable public DAI rank.
Intel Capital, Addition
Andreessen Horowitz, Addition
NEA
Andreessen Horowitz
Ray framework company. Distributed computing for ML workloads.
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 →Raw history across the tracked public signals for Anyscale.
Select signals to compare
Compare weekly public signals for Anyscale. Each chip adds or removes one line from the chart.
Showing % change from the start of the selected period because the selected signals live on very different scales.
| Date | PyPI Downloads | GitHub contributors | Public repos importing this |
|---|---|---|---|
| Mar 20, 2026 | 10.5M | 2 | 3.6K |
| Mar 27, 2026 | 11.8M | 2 | 3.6K |
| Apr 3, 2026 | 11.5M | 1 | 3.6K |
| Apr 10, 2026 | 11.2M | 3 | 3.6K |
| Apr 17, 2026 | 7.2M | 7 | 3.6K |
| Apr 18, 2026 | 2.2M | 11 | 3.6K |