Compare is the decision workspace
Visibility winner
Shubhamsaboo/awesome-llm-apps
103.8K stars
Use this as the long-horizon mindshare read, not as the final answer.
Freshness winner
Shubhamsaboo/awesome-llm-apps
+100 in the weekly window
Last commit Mar 28, 2026
Adoption winner
jax-ml/scaling-book
Package mapping still partial
GitStar keeps the comparison directional when linked package telemetry is missing.
Data completeness
Comparison confidence
0/2 package links
1/2 repos have weekly momentum in the current snapshot.
Set the comparison frame before you read the verdict.
Compare up to three repositories with comma-separated owner/repo names. GitStar keeps missing package or momentum data explicit instead of flattening it into a false zero.
Visibility and freshness are readable here, but adoption proof is still uneven.
Shubhamsaboo/awesome-llm-apps 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.
Shubhamsaboo/awesome-llm-apps 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.
Shubhamsaboo/awesome-llm-apps 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.
Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
- 937 stars
- 135 forks
- Last commit Mar 15, 2026
- No linked package mapping yet
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
- 103.8K stars
- 15.2K forks
- Last commit Mar 28, 2026
- No linked package mapping yet