Great Expectations vs LlamaIndex
Great Expectations leads in package downloads at 3x; Great Expectations has raised more funding at $61M; Great Expectations leads in active contributors with 1 (30d); LlamaIndex leads in code adoption with 1.5K repos importing; Great Expectations leads in job demand with 1 mentions. Updated daily with live metrics.
Great Expectations: 28.4M downloads/mo (+12%), 11.3K GitHub stars, 1 active contributors, 284 repos importing, $61M 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: LlamaIndex is depended on by 757 packages versus 104 for Great Expectations. Great Expectations leads in package downloads with 28.4M per month compared to 10.6M for LlamaIndex (Great Expectations +12% MoM, LlamaIndex +26% MoM). LlamaIndex appears in 1.5K GitHub repositories compared to 284 for Great Expectations.
For growth trajectory: LlamaIndex has 47.8K GitHub stars versus 11.3K for Great Expectations.
For longevity/risk: Great Expectations has raised $61M in total disclosed funding, while LlamaIndex has raised $85K. Great Expectations's most recent round was Series A, while LlamaIndex's most recent round was Seed. Great Expectations attracted 1 active contributors in the last 30 days compared to 1 for LlamaIndex. Great Expectations operates in AI Infrastructure while LlamaIndex focuses on Foundation Models.
Bottom Line
Great Expectations leads on developer adoption with 28.4M 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.
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| Metric | Updated Mar 18 | Updated Mar 18 |
|---|---|---|
| Website | greatexpectations.io → | llamaindex.ai → |
| Description | Data quality framework for validating and profiling data pipelines | Framework for building LLM applications with RAG. Data framework for AI. |
| Total Disclosed Funding Source: Public records / manual researchUpdates: Weekly | $61M✓ | $85K |
| Last Funding | Series A Feb 2022 | Seed Jun 2023 |
| Developer Adoption | ||
| Momentum | 43Moderate | 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 | 28.4M✓ | 10.2M |
| PyPI Trend (30d) | ||
| Total Downloads (30d) Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managers | 28.4M+12%✓ | 10.6M+26% |
| Active Contributors/Day Source: GitHub APIUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activity | 1✓ | 1 |
| Contributors Trend | 0% | -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 | 104 | 646✓ |
| Code Adoption (repos) Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forksExclusive | 284 | 1.5K✓ |
| HN Discussion Share Source: Hacker News (Algolia API)Updates: DailyNote: Share of HN mentions within the company's primary category | 0.1% of HN mentions | 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 | N/A | 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 | 11.3K | 47.8K✓ |
| Founded | 2018 | 2022 |
| Primary Category | ||
| Data Last Updated | ||
Frequently Asked Questions
- Which has more developer adoption, Great Expectations or LlamaIndex?
- Great Expectations has 28.4M package downloads per month, making it the more widely adopted tool among developers.Great Expectations profile →
- Which has more real-world code adoption, Great Expectations or LlamaIndex?
- LlamaIndex appears in 1.5K GitHub repositories that import its packages, compared to 284 for Great Expectations. This metric is exclusive to AI-Buzz.How we measure code adoption →
- Which is mentioned more in job listings, Great Expectations or LlamaIndex?
- Great Expectations 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, Great Expectations 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, Great Expectations or LlamaIndex?
- Great Expectations has raised $61M in total disclosed funding.AI funding data →
Download comparison data
Source: AI-Buzz Developer Adoption Index. Free to use with attribution.
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