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Abacus AI vs Meta Llama

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

Quick Comparison

Abacus AI: 13.3K downloads/mo (-50%), $90M funded vs

Meta Llama

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

Key Differences

For production adoption: Abacus AI has 13.3K package downloads per month (-50% MoM). Abacus AI appears in 1 GitHub repositories.

For longevity/risk: Abacus AI has raised $90M in total disclosed funding. Abacus AI's most recent round was Series B. both companies operate in the Foundation Models category.

Bottom Line

Abacus AI leads on developer adoption with 13.3K 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.

Abacus AIMeta Llama
13.3K
0

Downloads (30d)

$90M
-

Disclosed Funding

1
0

Repos Importing (code adoption)

19
0

Momentum (0-100)

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

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MetricAbacus AI logoAbacus AI
Updated Mar 17
Meta Llama
Websiteabacus.ai llama.meta.com
DescriptionEnterprise AI platform with custom LLM agents and ML automationMeta's open-weight large language model family
Total Disclosed Funding
$90M
N/A
Last Funding
Series B
Feb 2021
Not available
Developer Adoption
Momentum
19
N/A
npm Registry Downloads (30d)
0
N/A
PyPI Registry Downloads (30d)
13.3K
N/A
PyPI Trend (30d)
-50%
-
Total Downloads (30d)
13.3K-50%
Not tracked
PyPI Dependents
0
N/A
Code Adoption (repos)
1
N/A
StatusPrivateUnknown
HN Mentions (30d)
0
N/A
GitHub Stars
N/A
N/A
Founded2019Unknown
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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