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DeepSeek vs Meta Llama

both compete in Foundation Models. Updated daily with live metrics.

Quick Comparison

DeepSeek: 105.8K downloads/mo, 102.2K GitHub stars, 146 dependents vs

Meta Llama

Source: AI-Buzz. Updated daily from npm, PyPI, GitHub, and Hacker News.

Key Differences

For production adoption: DeepSeek is depended on by 146 packages. DeepSeek has 105.8K package downloads per month.

For growth trajectory: DeepSeek has 102.2K GitHub stars. DeepSeek received 323 Hacker News mentions in the last 30 days.

For longevity/risk: both companies operate in the Foundation Models category.

Bottom Line

DeepSeek leads on developer adoption with 105.8K monthly package downloads. Both compete in the Foundation Models space. For a deeper look, visit each company's full profile for trend charts, funding rounds, and community sentiment data.

DeepSeekMeta Llama
105.8K
0

Downloads (30d)

102.2K
0

GitHub Stars

146
0

Package Dependents

323
0

HN Mentions (30d)

36
0

Momentum (0-100)

Data freshness notice: Meta Llama: no data freshness timestamp available.

Scroll to compare

MetricDeepSeek logoDeepSeek
Updated Mar 17
Meta Llama
Websitedeepseek.com llama.meta.com
DescriptionAI research lab building open-source reasoning and code modelsMeta's open-weight large language model family
Total Disclosed Funding
N/A
N/A
Last FundingNot availableNot available
Developer Adoption
Momentum
36Moderate
N/A
npm Registry Downloads (30d)
105.8K
N/A
PyPI Registry Downloads (30d)
N/A
N/A
Total Downloads (30d)
105.8K
Not tracked
Active Contributors/Day
0
N/A
npm Dependents
146
N/A
Code Adoption (repos)
0
N/A
HN Discussion Share 3.8% of HN mentions-
StatusPrivateUnknown
HN Mentions (30d)
323
N/A
HN Mentions Trend (30d)
+62%
-
Reddit Mentions (30d)
13
N/A
Job Mentions (30d)
1
N/A
GitHub Stars
102.2K
N/A
Founded2023Unknown
Primary Category
Data Last UpdatedUnknown

* Meta Llama has no npm/PyPI packages tracked - download metrics unavailable. Signal score based on GitHub and community data only.

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