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Hugging Face vs Make

Compare Hugging Face and Make across developer adoption, funding, and community signals.

Key Differences

Hugging Face has 113.9M package downloads per month. Hugging Face has 157.5K GitHub stars.

Hugging Face has raised $629M in total funding. Hugging Face's most recent round was Series D. Hugging Face operates in Foundation Models while Make focuses on AI Agents.

Make received 1.0K Hacker News mentions in the last 30 days compared to 322 for Hugging Face. Make accounts for 65.9% of Hacker News discussion in its category.

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Quick Comparison

Hugging Face: 113.9M downloads/mo, 157.5K GitHub stars, 101 active contributors, $629M funded vs

Make

Source: AI-Buzz AI company database.

Scroll to compare

MetricHugging FaceMake
Websitehuggingface.co make.com
DescriptionThe GitHub of machine learning. Hosts models, datasets, and Spaces.Workflow automation platform. Formerly Integromat, now with AI features.
Total Funding
$629M
-
Last Funding
Series D
Aug 2023
Not available
Developer Adoption
npm Downloads (30d)
1.3M
-
PyPI Downloads (30d)
112.6M
-
Total Downloads (30d)
113.9M-1%
-
Active Contributors (30d)
101
-
HN Discussion Share4.9% of HN mentions65.9% of HN mentions
StatusPrivatePrivate
HN Mentions (30d)
322
1.0K
HN Mentions Trend (30d)--
GitHub Stars
157.5K
-
Founded20162012
Primary Category
Data Last Updated

Key Differences: Hugging Face vs Make

Hugging Face sees 113.9M package downloads per month, while Make does not have tracked package downloads.

Hugging Face has raised $629M in funding, while Make does not have disclosed funding data. Hugging Face's latest round was a Series D in 2023.

On GitHub, Hugging Face has 157.5K GitHub stars.

In community signals, Make leads in Hacker News mindshare with 1.0K mentions in the past 30 days compared to 322 for Hugging Face.

Hugging Face focuses on Foundation Models, while Make focuses on AI Agents, giving each company a distinct niche.

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