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Anyscale

Data confidence: High

Ray framework company. Distributed computing for ML workloads.

Founded by: Ion Stoica, Robert Nishihara, Philipp Moritz

DMI: 19#27 of 262 (Top 11%)HN 30d: 0 41,621 · 7,298 forks
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Anyscale has a Developer Momentum Index of 19, ranking #27 of 262 companies. Key metrics include 56.1M monthly package downloads, 41.6K GitHub stars, $260M in total funding.

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Developer Adoption

Developer Adoption

Package downloads and ecosystem metrics, 30-day window

PyPI Downloads (30d)
56.1M
ray
Active Contributors (30d)
92
Unique committers, 30-day window

Active Contributors Trend

8790929497Mar 5Mar 6
90-day trend

github contributors remained stable at 92 over the last 90 days.

View data table
Dategithub contributors
Mar 5, 202692
Mar 6, 202692

PyPI Download Trend

53,107,28854,509,96355,912,63857,315,31358,717,988Mar 5Mar 6
90-day trend

PyPI Downloads grew from 55,718,284 to 56,106,992 over the last 90 days.

View data table
Datepypi downloads
Mar 5, 202655,718,284
Mar 6, 202656,106,992
Key Signals

Developer Community Metrics

Metrics computed from HN discussion, GitHub activity, and funding data.

HN vs Category0.0x category median (0 vs 2 median)
GitHub VelocityCommit velocity steady (0.8x vs 4-week average)
Funding Trajectory4 rounds in 32 months, ($21M → $40M → $100M → $99M)

Category Benchmark

75 AI Infrastructure companies
56.1M downloads/mo4364% above median
0Median: 1.3M2.5M+

Funding Rounds

Strategic Investment$99M

2022 · Intel Capital, Addition

Series C$100M

2021 · Andreessen Horowitz, Addition

Series B$40M

2020 · NEA

Show 1 earlier rounds
Series A$21M

2019 · Andreessen Horowitz

Cite This Data

According to AI-Buzz, Anyscale has 56,106,992 PyPI downloads in 30 days, with 92 active contributors in 30 days, with 92 commits/week (steady).

Source: https://www.ai-buzz.com/companies/anyscale?utm_source=citation&utm_medium=referral&utm_campaign=cite_this_data

Metrics derived from public APIs (HN Algolia, GitHub, npm/PyPI). Sentiment classified by AI. See methodology for details →

About

About

Description

Ray framework company. Distributed computing for ML workloads.

Estimated Company Size

101 - 250 employees

Details

Founded

2019

Description

Anyscale builds Ray, the distributed computing framework for ML. Powers large-scale training and serving. Raised $100M Series C.

Data Confidence

Excellent
93/ 100

Reflects profile completeness, metric freshness, and signal coverage.

How we calculate this

Open Source

41.6K
Stars
7.3K
Forks
ActivePython
Last commit: 1 day ago
View on GitHub →

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