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Hottest open-source projects in the last 24 hours

public-apis/public-apis · ⭐ 484,522 freeCodeCamp/freeCodeCamp · ⭐ 456,550 EbookFoundation/free-programming-books · ⭐ 398,181 openclaw/openclaw · ⭐ 390,815 donnemartin/system-design-primer · ⭐ 372,604 nilbuild/developer-roadmap · ⭐ 368,552 vinta/awesome-python · ⭐ 324,205 awesome-selfhosted/awesome-selfhosted · ⭐ 322,841 public-apis/public-apis · ⭐ 484,522 freeCodeCamp/freeCodeCamp · ⭐ 456,550 EbookFoundation/free-programming-books · ⭐ 398,181 openclaw/openclaw · ⭐ 390,815 donnemartin/system-design-primer · ⭐ 372,604 nilbuild/developer-roadmap · ⭐ 368,552 vinta/awesome-python · ⭐ 324,205 awesome-selfhosted/awesome-selfhosted · ⭐ 322,841

GitHub open-source trends

Repositories are grouped by type (Agent, multi-agent, inference, LLM libraries, etc.) with in-group comparison of stars, forks, commits, contributors, and open issues/PRs. Data comes from scheduled ingestion snapshots with explicit snapshot dates.

Snapshot

Open source · Live · GitHub + HF

Live source: HF Trending Snapshot source: GitHub grouped snapshot Estimated: Heat / VRAM

Hot models

24h Δ

Default order follows the Hugging Face trending list (7-day likes).

Grouped repository comparison

Each section lists repositories of the same class (e.g., Agent: OpenClaw, NanoBot, PicoClaw). Column meanings are consistent across groups. “Commits (30d)” follows the scraper’s rolling window.

Snapshot:

Data sources & methodology

Public formula (within each group): Score = 100 × [0.30·Stars + 0.15·Forks + 0.30·Commits30d + 0.15·Contributors + 0.05·(1-Issues) + 0.05·(1-PRs)], after per-group min-max normalization.

Agent

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 openclaw/openclaw 92.7 390,815 82,207 17,247 3,443 9,072 3
2 NousResearch/hermes-agent 72.3 250,217 53,429 19,742 4,118 47,284 5
3 deepseek-ai/deepseek-harness 34.5 240,754 28,917 5,452 55 0 0
4 affaan-m/ECC 33.2 269,899 40,336 409 399 210 130
5 langchain-ai/langchain 27.5 147,309 24,665 186 3,741 591 102
6 Significant-Gravitas/AutoGPT 25.8 187,619 45,979 517 862 547 235
7 firecrawl/firecrawl 13.3 186,876 9,991 197 175 701 612
8 Shubhamsaboo/awesome-llm-apps 12.8 140,325 20,613 75 118 16 8
9 DietrichGebert/ponytail 9.9 148,581 7,990 14 66 317 206
10 langflow-ai/langflow 8.6 155,389 10,149 182 387 1,177 921

Multi-agent

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 lobehub/lobehub 73.5 82,919 15,950 930 358 977 600
2 TauricResearch/TradingAgents 60.2 109,318 20,993 186 24 96 56
3 zhayujie/CowAgent 50.2 47,181 10,376 707 179 100 73
4 danny-avila/LibreChat 46.1 45,147 9,249 564 418 821 436
5 FoundationAgents/MetaGPT 33.2 70,701 8,987 0 148 144 130
6 openai/openai-agents-python 32.6 29,783 4,837 224 402 16 14
7 Yeachan-Heo/oh-my-claudecode 29 39,456 3,527 312 160 5 3
8 wshobson/agents 18.2 40,105 4,279 34 88 2 1
9 agentscope-ai/agentscope 16.7 32,614 3,592 158 150 527 216
10 OpenBMB/ChatDev 11.8 34,425 4,313 0 19 81 27

Inference

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 ggml-org/llama.cpp 70 129,951 23,926 573 2,061 2,551 1
2 BerriAI/litellm 67.2 59,917 11,912 7,256 1,758 5,473 3
3 earendil-works/pi 46.8 110,617 14,063 425 296 250 74
4 sgl-project/sglang 38 36,654 9,232 1,630 1,977 5,431 4
5 microsoft/onnxruntime 16.6 21,961 4,267 277 998 1,829 937
6 k2-fsa/sherpa-onnx 12.4 15,055 1,734 43 246 642 70
7 GeeeekExplorer/nano-vllm 11.8 15,670 2,653 0 15 98 65
8 abetlen/llama-cpp-python 10.5 10,637 1,461 2 196 684 87
9 h2oai/h2ogpt 10.4 11,957 1,297 0 78 328 36
10 CVHub520/X-AnyLabeling 10.4 10,577 1,169 16 58 8 3

LLM library

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 huggingface/transformers 70.9 166,848 34,732 331 4,147 2,389 1
2 unslothai/unsloth 46.8 77,072 7,092 1,679 349 1,175 402
3 fighting41love/funNLP 26.4 83,583 15,289 0 13 54 7
4 sickn33/antigravity-awesome-skills 22.4 47,101 6,863 387 377 5 5
5 asgeirtj/system_prompts_leaks 22.1 68,644 11,154 74 25 55 35
6 router-for-me/CLIProxyAPI 20.4 53,621 8,082 515 264 673 583
7 labmlai/annotated_deep_learning_paper_implementations 18.8 67,506 6,756 0 42 34 5
8 ComposioHQ/awesome-claude-skills 18.5 75,939 8,865 0 29 1,580 1
9 langfuse/langfuse 17.1 35,230 3,884 751 215 964 647
10 huggingface/pytorch-image-models 12.9 37,182 5,213 77 212 47 27

Training framework

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 pytorch/pytorch 71.9 103,543 31,021 1,893 7,090 17,595 3
2 vllm-project/vllm 56.3 92,983 22,843 1,621 3,593 8,385 5
3 AUTOMATIC1111/stable-diffusion-webui 49.7 165,156 32,140 0 638 2,512 84
4 Comfy-Org/ComfyUI 32.2 135,582 16,076 210 354 5,005 730
5 tensorflow/models 30.9 77,652 44,809 12 962 1,272 205
6 rasbt/LLMs-from-scratch 26.5 105,789 16,236 6 72 3 0
7 keras-team/keras 20.8 64,343 19,805 128 1,570 252 87
8 ultralytics/ultralytics 17.6 62,126 11,806 305 464 74 38
9 ultralytics/yolov5 14.1 58,100 17,458 2 350 32 1
10 CorentinJ/Real-Time-Voice-Cloning 10.5 60,156 9,383 0 20 177 8

Serving

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 open-webui/open-webui 76.7 153,613 22,461 336 881 372 112
2 PDFMathTranslate/PDFMathTranslate 43.8 37,270 3,342 832 59 168 38
3 Mintplex-Labs/anything-llm 31.6 66,618 7,430 137 257 319 21
4 janhq/jan 29.4 44,717 3,063 469 185 544 133
5 chatchat-space/Langchain-Chatchat 19.5 38,664 6,260 0 173 32 20
6 1Panel-dev/1Panel 19.2 37,074 3,362 115 131 349 11
7 AlexsJones/llmfit 18 37,371 2,395 74 149 72 32
8 lm-sys/FastChat 10.9 39,556 4,777 0 246 1,043 144
9 lss233/kirara-ai 10.5 19,056 1,835 0 49 3 1
10 Zackriya-Solutions/meetily 9.1 31,274 3,413 54 20 353 152

Evaluation

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 confident-ai/deepeval 64.4 18,520 2,002 132 337 691 374
2 bitnami/charts 57.6 10,414 10,313 17 2,779 9 4
3 prometheus-community/helm-charts 54.5 6,203 5,389 104 1,813 152 64
4 helmfile/helmfile 26.2 5,213 370 47 405 22 7
5 open-compass/opencompass 17.8 7,486 872 11 186 411 118
6 komodorio/helm-dashboard 16.9 5,759 360 9 58 17 0
7 stackrox/kube-linter 13.6 3,514 275 17 99 88 12
8 omerbsezer/Fast-Kubernetes 12.4 3,854 1,436 0 5 4 3
9 helm/chartmuseum 10.8 3,845 409 3 88 120 29
10 roboll/helmfile 8.7 4,033 551 0 224 525 11

RAG / vector search

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 milvus-io/milvus 84.1 46,284 4,278 220 384 1,428 379
2 qdrant/qdrant 68.7 34,885 2,713 220 202 734 251
3 langchain4j/langchain4j 47.1 13,180 2,576 136 499 954 330
4 simdjson/simdjson 35.5 24,317 1,292 35 200 74 18
5 chroma-core/chroma 35.4 29,411 2,540 37 196 908 555
6 Tencent/APIJSON 29.1 18,400 2,275 28 97 237 1
7 datawhalechina/all-in-rag 27.9 11,585 5,723 2 12 26 8
8 gka/chroma.js 14 10,591 550 6 45 65 10
9 svcvit/Awesome-Dify-Workflow 13.7 10,776 1,088 0 2 26 8
10 std-microblock/chromatic 10 8,458 398 0 1 4 0

Snapshot data, not live GitHub streaming. Updates run through scheduled REST/GraphQL ingestion, JSON write, and rebuild.

GitHub-centric signals

Repositories, stars, forks, issues/PRs, release cadence, and topic tags are primary inputs; aggregate by organization, language, or topics for comparison.

Browse projects on GitHub Explore

Metrics

Grouped tables above list stars, forks, commits (30d), contributors, and open issues/PRs. Additional metrics may include star velocity, discussion volume, release cadence, or security signals—by day, week, or month.

Ingestion and refresh

GitHub REST/GraphQL, public datasets, or aggregators such as RSSHub; scheduled Actions to fetch, normalize, and write JSON or read-only stores, then ship static pages or read-only edge APIs.

Types and domains

  • LLM / inference stacks (serving, kernels, quantization-related repositories)
  • Agents, multi-agent frameworks, tool use, orchestration
  • Evaluations, benchmarks, datasets, reproducible leaderboards
  • Training, fine-tuning, alignment, engineering toolchains
  • Local deployment, inference services, edge stacks
  • Data, RAG, retrieval, vector-store ecosystems

Common misreadings

  • Equating stars with model quality—hype may diverge from benchmark strength.
  • Relying on short windows only—spikes may reflect campaigns; longer commit curves carry more signal.
  • Ignoring issues/PRs—healthy projects often show dense maintenance beyond stars.
  • Mixing personal and organization repositories—governance and release cadence may differ materially.
  • Treating GitHub as the entire ecosystem—important work may be closed-source or hosted elsewhere.

Further reading

Weekly AI industry brief

For the week ending September 30, 2026, this Hugging Face hot list tracks 50 entries. By 24-hour growth, standouts include "Qwen3.8-Flash-Next-GSQ-RCO-GGUF", "DeepSeek-V4.1-Flash", "Qwen-Image-2.1-GGUF", "Qwen-Image-2.1-viggle-turbo", "Qwen-Image-2.1-Text-Encoder-Heretic-GGUF". Organizations appearing most often near the top include XingChen-AGI, Qwen, convaiinnovations, Edge0—a sign that releases, forks, and task pipelines remain fast-moving.

About 49 row(s) are flagged as newly listed in this snapshot, which usually means fresh weights, quant formats, or pipeline tags entering the cohort.

On tokens / hosting: Hacker News highlights “What Is OpenAI's Decisions API?”; Hacker News highlights “Religious Scholars Met with Anthropic. What They Heard Stunned Them”; Hacker News highlights “OpenAI Dev Day, Dot and OpenAI's Product Transition, Sign in with ChatGP…”. These cues tie to pricing, regions, and rollout cadence for hosted inference.

The grouped GitHub comparison below spans 8 ecosystem segments so you can contrast model buzz with engineering activity (stars, commits, issues/PRs).

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