Visibility winner
deepseek-ai/DeepSeek-V3
103.3K stars
Use this as the long-horizon mindshare read, not as the final answer.
Freshness winner
deepseek-ai/DeepSeek-V3
+100 in the weekly window
Last commit Aug 28, 2025
Adoption winner
deepseek-ai/DeepSeek-V2
Package mapping still partial
GitStar keeps the comparison directional when linked package telemetry is missing.
Data completeness
Comparison confidence
0/3 package links
1/3 repos have weekly momentum in the current snapshot.
Compare up to four repositories with comma-separated owner/repo names. GitStar keeps missing package or momentum data explicit instead of flattening it into a false zero.
deepseek-ai/DeepSeek-V3 currently leads on long-horizon mindshare with the strongest star base in this comparison. Package mapping is still partial, so this comparison cannot declare a clean adoption winner yet.
GitStar keeps cross-repository gaps visible. Missing package mappings or partial momentum data lower confidence, but they do not stop the page from showing a directional read.
deepseek-ai/DeepSeek-V3 currently leads on long-horizon mindshare with the strongest star base in this comparison.
Stars are strongest at showing durable visibility, not direct production fit.
deepseek-ai/DeepSeek-V3 has the strongest current movement signal in this set.
Weekly movement is +100 in the weekly window.
Package mapping is still partial, so this comparison cannot declare a clean adoption winner yet.
Treat this as a directional evaluation and verify ecosystem usage directly from package registries.
This is a cross-lane comparison, so use it to inspect trade-offs rather than to force a single numeric winner.
When the compared repos do not clearly share category or package neighborhoods, methodology and direct docs review matter more.
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
No repository description is available in the current snapshot.
A powerful meta-prompting, context engineering and spec-driven development system that enables agents to work for long periods of time autonomously without losing track of the big picture