Anyscale vs LlamaIndex
Anyscale leads in package downloads at 5x; Anyscale has raised more funding at $260M; Anyscale leads in active contributors with 12 (30d); Anyscale leads in code adoption with 3.6K repos importing; Anyscale leads in job demand with 1 mentions. Updated daily with live metrics.
Anyscale: 58.1M downloads/mo (+38%), 41.8K GitHub stars, 12 active contributors, 3.6K repos importing, $260M funded vs
LlamaIndex: 10.6M downloads/mo (+26%), 47.8K GitHub stars, 1 active contributors, 111 dependents, 1.5K repos importing, $85K funded
Source: AI-Buzz Developer Adoption Index (DAI). Updated daily from 12 data sources.
Downloads (30d)
Disclosed Funding
GitHub Stars
Package Dependents
Repos Importing (code adoption)
Momentum (0-100)
Key Differences
For production adoption: Anyscale is depended on by 759 packages versus 757 for LlamaIndex. Anyscale leads in package downloads with 58.1M per month compared to 10.6M for LlamaIndex (Anyscale +38% MoM, LlamaIndex +26% MoM). Anyscale appears in 3.6K GitHub repositories compared to 1.5K for LlamaIndex.
For growth trajectory: LlamaIndex has 47.8K GitHub stars versus 41.8K for Anyscale.
For longevity/risk: Anyscale has raised $260M in total disclosed funding, while LlamaIndex has raised $85K. Anyscale's most recent round was Strategic Investment, while LlamaIndex's most recent round was Seed. Anyscale attracted 12 active contributors in the last 30 days compared to 1 for LlamaIndex. Anyscale operates in AI Infrastructure while LlamaIndex focuses on Foundation Models.
Bottom Line
Anyscale leads on developer adoption with 58.1M monthly package downloads. LlamaIndex counters with 47.8K GitHub stars, reflecting strong developer awareness. For a deeper look, visit each company's full profile for trend charts, funding rounds, and community sentiment data.
← Scroll to compare →
| Metric | Updated Mar 18 | Updated Mar 18 |
|---|---|---|
| Website | anyscale.com → | llamaindex.ai → |
| Description | Ray framework company. Distributed computing for ML workloads. | Framework for building LLM applications with RAG. Data framework for AI. |
| Total Disclosed Funding Source: Public records / manual researchUpdates: Weekly | $260M✓ | $85K |
| Last Funding | Strategic Investment Aug 2022 | Seed Jun 2023 |
| Developer Adoption | ||
| Momentum | 34Moderate | 47Moderate✓ |
| npm Registry Downloads (30d) Source: npm registryUpdates: DailyNote: Includes all package installations including CI/CD pipelines and mirrors | 0 | 442.3K✓ |
| npm Trend (30d) | - | |
| PyPI Registry Downloads (30d) Source: PyPI (Google BigQuery)Updates: DailyNote: Includes all package installations including CI/CD pipelines and mirrors | 58.1M✓ | 10.2M |
| PyPI Trend (30d) | ||
| Total Downloads (30d) Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managers | 58.1M+38%✓ | 10.6M+26% |
| Active Contributors/Day Source: GitHub APIUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activity | 12✓ | 1 |
| Contributors Trend | +200% | -50% |
| npm Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct and dev dependents | N/A | 111✓ |
| PyPI Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct reverse dependencies from PyPI | 759✓ | 646 |
| Code Adoption (repos) Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forksExclusive | 3.6K✓ | 1.5K |
| HN Discussion Share Source: Hacker News (Algolia API)Updates: DailyNote: Share of HN mentions within the company's primary category | - | 0.2% of HN mentions |
| Status | Private | Private |
| HN Mentions (30d) Source: Hacker News (Algolia API)Updates: Daily | 0 | 0 |
| Reddit Mentions (30d) Source: Reddit (search API)Updates: DailyNote: Counts posts/comments mentioning the company by nameExclusive | 1 | 2✓ |
| Job Mentions (30d) Source: Job board aggregationUpdates: DailyNote: Counts job listings mentioning the company's technologyExclusive | 1✓ | 1 |
| GitHub Stars Source: GitHub APIUpdates: DailyNote: Stars are bookmarks — a popularity signal, not a usage indicator | 41.8K | 47.8K✓ |
| Founded | 2019 | 2022 |
| Primary Category | ||
| Data Last Updated | ||
Frequently Asked Questions
- Which has more developer adoption, Anyscale or LlamaIndex?
- Anyscale has 58.1M package downloads per month, making it the more widely adopted tool among developers.Anyscale profile →
- Which has more real-world code adoption, Anyscale or LlamaIndex?
- Anyscale appears in 3.6K GitHub repositories that import its packages, compared to 1.5K for LlamaIndex. This metric is exclusive to AI-Buzz.How we measure code adoption →
- Which is mentioned more in job listings, Anyscale or LlamaIndex?
- Anyscale appeared in 1 job listings in the last 30 days, compared to 1 for LlamaIndex. Job mention data is tracked exclusively by AI-Buzz.How we track job mentions →
- Which is growing faster, Anyscale or LlamaIndex?
- LlamaIndex has a momentum score of 47/100, indicating moderate growth trajectory. Momentum is calculated from download trends, GitHub activity, and community signals.Developer Adoption Index →
- Which company has more funding, Anyscale or LlamaIndex?
- Anyscale has raised $260M in total disclosed funding.AI funding data →
Download comparison data
Source: AI-Buzz Developer Adoption Index. Free to use with attribution.
Select Companies to Compare
Related Comparisons
Related Articles
Weekly AI Intelligence
Which AI companies are developers actually adopting? We track npm and PyPI downloads for hundreds of companies. Get the biggest shifts delivered weekly.