LlamaIndex vs Pydantic (Samuel Colvin)
Pydantic (Samuel Colvin) leads in package downloads at 62x; Pydantic (Samuel Colvin) has raised more funding at $17M; Pydantic (Samuel Colvin) leads in active contributors with 3 (30d); Pydantic (Samuel Colvin) leads in code adoption with 49.4K repos importing; LlamaIndex leads in job demand with 1 mentions. Updated daily with live metrics.
LlamaIndex: 452.5K downloads/mo (+26%), 47.8K GitHub stars, 1 active contributors, 111 dependents, 1.5K repos importing, $85K funded vs
Pydantic (Samuel Colvin): 28.1M downloads/mo (+9%), 27.2K GitHub stars, 3 active contributors, 49.4K repos importing, $17M 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: Pydantic (Samuel Colvin) is depended on by 43.9K packages versus 757 for LlamaIndex. Pydantic (Samuel Colvin) leads in package downloads with 28.1M per month compared to 452.5K for LlamaIndex (Pydantic (Samuel Colvin) +9% MoM, LlamaIndex +26% MoM). Pydantic (Samuel Colvin) appears in 49.4K GitHub repositories compared to 1.5K for LlamaIndex.
For growth trajectory: LlamaIndex has 47.8K GitHub stars versus 27.2K for Pydantic (Samuel Colvin).
For longevity/risk: Pydantic (Samuel Colvin) has raised $17M in total disclosed funding, while LlamaIndex has raised $85K. LlamaIndex's most recent round was Seed, while Pydantic (Samuel Colvin)'s most recent round was Series A. Pydantic (Samuel Colvin) attracted 3 active contributors in the last 30 days compared to 1 for LlamaIndex. LlamaIndex operates in Foundation Models while Pydantic (Samuel Colvin) focuses on AI Infrastructure.
Bottom Line
Pydantic (Samuel Colvin) leads on developer adoption with 28.1M 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.
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| Metric | Updated Mar 18 | Updated Mar 18 |
|---|---|---|
| Website | llamaindex.ai → | pydantic.dev → |
| Description | Framework for building LLM applications with RAG. Data framework for AI. | Data validation library and AI agent framework |
| Total Disclosed Funding Source: Public records / manual researchUpdates: Weekly | $85K | $17M✓ |
| Last Funding | Seed Jun 2023 | Series A Feb 2024 |
| Developer Adoption | ||
| Momentum | 47Moderate✓ | 38Moderate |
| npm Registry Downloads (30d) Source: npm registryUpdates: DailyNote: Includes all package installations including CI/CD pipelines and mirrors | 0 | 0 |
| npm Trend (30d) | - | |
| PyPI Registry Downloads (30d) Source: PyPI (Google BigQuery)Updates: DailyNote: Includes all package installations including CI/CD pipelines and mirrors | 452.5K | 28.1M✓ |
| PyPI Trend (30d) | ||
| Total Downloads (30d) Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managers | 452.5K+26% | 28.1M+9%✓ |
| Active Contributors/Day Source: GitHub APIUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activity | 1 | 3✓ |
| Contributors Trend | -50% | +50% |
| npm Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct and dev dependents | 111✓ | N/A |
| PyPI Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct reverse dependencies from PyPI | 646 | 43.9K✓ |
| Code Adoption (repos) Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forksExclusive | 1.5K | 49.4K✓ |
| 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 | 0.7% of HN mentions |
| Status | Private | Unknown |
| 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 | 2✓ | 0 |
| 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 | 47.8K✓ | 27.2K |
| Founded | 2022 | 2023 |
| Primary Category | ||
| Data Last Updated | ||
Frequently Asked Questions
- Which has more developer adoption, LlamaIndex or Pydantic (Samuel Colvin)?
- Pydantic (Samuel Colvin) has 28.1M package downloads per month, making it the more widely adopted tool among developers.Pydantic (Samuel Colvin) profile →
- Which has more real-world code adoption, LlamaIndex or Pydantic (Samuel Colvin)?
- Pydantic (Samuel Colvin) appears in 49.4K 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, LlamaIndex or Pydantic (Samuel Colvin)?
- LlamaIndex appeared in 1 job listings in the last 30 days, compared to 1 for Pydantic (Samuel Colvin). Job mention data is tracked exclusively by AI-Buzz.How we track job mentions →
- Which is growing faster, LlamaIndex or Pydantic (Samuel Colvin)?
- 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, LlamaIndex or Pydantic (Samuel Colvin)?
- Pydantic (Samuel Colvin) has raised $17M 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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