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Compare GitHub repos side by side

Pick up to 3 tracked repos to see how they stack up on popularity (stars), momentum (stars gained recently), and maintenance (releases and code pushes).

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This week's head-to-heads

The two fastest-rising repos in each category over the last 7 days, compared on stars gained, total stars, forks, language, age and releases.

AI agents

rea vs dsh-our-free-model

rea gained 37,652 stars in the last 7 days against 13,222 for dsh-our-free-model, about 2.8 times as many.

In total, rea has 411k stars and 103k forks; dsh-our-free-model has 52.3k stars and 1,429 forks.

rea is written mainly in TypeScript and was created 7 months ago; dsh-our-free-model is mainly JavaScript, created 35 days ago.

rea's latest release is rea-agents-6.8.0 (5 days ago); dsh-our-free-model's latest release is v2.7.2 (4 days ago).

See the full comparison table

LLM tooling

ponytail vs graphify

ponytail gained 5,929 stars in the last 7 days against 5,300 for graphify, a close race.

In total, ponytail has 181k stars and 9,925 forks; graphify has 139k stars and 13.3k forks.

ponytail is written mainly in JavaScript and was created 5 months ago; graphify is mainly Python, created 7 months ago.

ponytail's latest release is v5.3.3 (yesterday); graphify's latest release is v0.9.97 (2 days ago).

See the full comparison table

MCP

hyperframes vs xerj

hyperframes gained 5,042 stars in the last 7 days against 3,450 for xerj, a close race.

In total, hyperframes has 75.8k stars and 6,912 forks; xerj has 17.6k stars and 1,360 forks.

hyperframes is written mainly in TypeScript and was created 8 months ago; xerj is mainly Rust, created 4 months ago.

hyperframes's latest release is v0.8.220 (today); xerj's latest release is v1.0.0-rc.100 (2 days ago).

See the full comparison table

Coding agents

orca vs magpie

orca gained 6,933 stars in the last 7 days against 5,861 for magpie, a close race.

In total, orca has 111k stars and 6,999 forks; magpie has 26.1k stars and 2,159 forks.

orca is written mainly in TypeScript and was created 8 months ago; magpie is mainly Go, created 36 days ago.

orca's latest release is v1.4.244 (yesterday); magpie's latest release is v0.1.2144 (today).

See the full comparison table

RAG / vector

DeepTutor vs WeKnora

DeepTutor gained 9,117 stars in the last 7 days against 803 for WeKnora, about 11.4 times as many.

In total, DeepTutor has 51.4k stars and 6,296 forks; WeKnora has 36k stars and 4,897 forks.

DeepTutor is written mainly in Python and was created 10 months ago; WeKnora is mainly Go, created 16 months ago.

DeepTutor's latest release is v1.7.0 (2 days ago); WeKnora's latest release is v0.9.0 (yesterday).

See the full comparison table

Local LLMs

ollama vs DigUp

ollama gained 853 stars in the last 7 days against 372 for DigUp, about 2.3 times as many.

In total, ollama has 185k stars and 18.8k forks; DigUp has 6,029 stars and 466 forks.

ollama is written mainly in Go and was created 3 years ago; DigUp is mainly Swift, created 21 days ago.

ollama's latest release is v0.40.13 (yesterday); DigUp's latest release is v0.6.2 (8 days ago).

See the full comparison table

How to compare open-source repos

Stars: GitHub's bookmark button. A high total means many developers noticed the project at some point; it says little about whether it is still maintained.
Stars gained (24 hours, 7 days): Momentum. OSS Radar ranks repos by these gains, so a young project gaining fast can outrank an older one with far more total stars.
Forks: Copies people made to change the code. Many forks relative to stars usually means people are building on it, not just bookmarking it.
Last code push and latest release: Maintenance signals. A recent push shows someone is still working on it; tagged releases show versions you can pin to.
Hacker News: How many HN stories linked the repo and how many points they drew: a rough measure of discussion outside GitHub.

Stars, forks, pushes and releases come from the public GitHub API and are refreshed hourly; Hacker News figures come from HN's public search API. Sponsors never affect rankings or comparisons.