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Hottest open-source projects in the last 24 hours

public-apis/public-apis · ⭐ 486,892 freeCodeCamp/freeCodeCamp · ⭐ 456,935 EbookFoundation/free-programming-books · ⭐ 398,694 openclaw/openclaw · ⭐ 391,636 nilbuild/developer-roadmap · ⭐ 369,149 vinta/awesome-python · ⭐ 326,013 awesome-selfhosted/awesome-selfhosted · ⭐ 324,801 obra/superpowers · ⭐ 296,596 public-apis/public-apis · ⭐ 486,892 freeCodeCamp/freeCodeCamp · ⭐ 456,935 EbookFoundation/free-programming-books · ⭐ 398,694 openclaw/openclaw · ⭐ 391,636 nilbuild/developer-roadmap · ⭐ 369,149 vinta/awesome-python · ⭐ 326,013 awesome-selfhosted/awesome-selfhosted · ⭐ 324,801 obra/superpowers · ⭐ 296,596

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 88.5 391,636 82,292 16,091 3,513 9,531 0
2 NousResearch/hermes-agent 67.6 252,120 54,328 17,583 4,371 47,648 0
3 affaan-m/ECC 29.3 275,231 41,058 345 398 364 0
4 deepseek-ai/deepseek-harness 28.9 245,676 29,443 4,245 55 0 0
5 langchain-ai/langchain 22 147,579 24,734 221 3,743 630 0
6 Significant-Gravitas/AutoGPT 21.6 187,699 45,937 525 863 648 0
7 firecrawl/firecrawl 11.7 189,682 10,049 252 175 531 0
8 langflow-ai/langflow 8.2 155,587 10,190 171 389 1,144 0
9 DietrichGebert/ponytail 7.2 158,133 8,491 91 111 20 0
10 farion1231/cc-switch 6.1 141,413 9,462 359 263 2,957 0

Multi-agent

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 lobehub/lobehub 68.8 83,058 15,957 868 359 1,047 0
2 TauricResearch/TradingAgents 55.4 110,228 21,197 192 24 94 0
3 zhayujie/CowAgent 53.2 47,274 10,375 1,017 183 55 0
4 danny-avila/LibreChat 45.4 45,403 9,323 637 419 853 0
5 FoundationAgents/MetaGPT 29.1 70,777 8,998 0 148 142 0
6 openai/openai-agents-python 27.7 29,908 4,853 240 407 8 0
7 Yeachan-Heo/oh-my-claudecode 23.9 39,679 3,551 328 167 8 0
8 agentscope-ai/agentscope 13.8 32,898 3,614 170 159 561 0
9 wshobson/agents 13.1 40,296 4,289 35 88 6 0
10 OpenBMB/ChatDev 7 34,463 4,320 0 19 82 0

Inference

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 ggml-org/llama.cpp 66 130,674 24,186 646 2,096 2,482 0
2 BerriAI/litellm 62.5 60,357 12,137 5,914 1,782 5,340 0
3 earendil-works/pi 43.7 113,430 14,415 514 300 308 0
4 sgl-project/sglang 34.8 36,869 9,377 1,661 2,020 5,546 0
5 microsoft/onnxruntime 17.4 22,037 4,285 372 1,013 1,755 0
6 k2-fsa/sherpa-onnx 7.7 15,165 1,753 28 247 658 0
7 GeeeekExplorer/nano-vllm 7.2 15,741 2,666 0 15 99 0
8 abetlen/llama-cpp-python 5.9 10,637 1,464 4 196 687 0
9 h2oai/h2ogpt 5.6 11,949 1,296 0 78 328 0
10 CVHub520/X-AnyLabeling 5.4 10,619 1,175 20 58 6 0

LLM library

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 huggingface/transformers 64.8 167,053 34,768 334 4,157 2,358 0
2 unslothai/unsloth 45.7 77,463 7,144 2,100 400 839 0
3 fighting41love/funNLP 21.4 83,755 15,288 0 13 54 0
4 router-for-me/CLIProxyAPI 18.2 54,476 8,291 507 269 657 0
5 asgeirtj/system_prompts_leaks 17.3 69,122 11,234 82 26 58 0
6 sickn33/antigravity-awesome-skills 15.9 47,355 6,894 380 395 4 0
7 langfuse/langfuse 14.7 35,518 3,951 776 219 1,025 0
8 labmlai/annotated_deep_learning_paper_implementations 13.7 67,535 6,755 0 42 44 0
9 ComposioHQ/awesome-claude-skills 13.4 76,698 8,986 0 29 1,659 0
10 huggingface/pytorch-image-models 8 37,202 5,214 96 214 42 0

Training framework

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 pytorch/pytorch 67.2 103,889 31,612 2,104 7,139 17,704 0
2 vllm-project/vllm 50.1 93,387 23,126 1,687 3,685 8,597 0
3 AUTOMATIC1111/stable-diffusion-webui 45.4 165,216 32,601 0 638 2,510 0
4 Comfy-Org/ComfyUI 32.1 136,601 16,212 205 355 5,091 0
5 tensorflow/models 27.2 77,655 44,788 8 963 1,272 0
6 rasbt/LLMs-from-scratch 21.7 106,214 16,339 12 73 3 0
7 keras-team/keras 16.5 64,354 19,802 150 1,577 244 0
8 ultralytics/ultralytics 13 62,302 11,835 339 469 78 0
9 ultralytics/yolov5 9.2 58,115 17,459 4 350 24 0
10 CorentinJ/Real-Time-Voice-Cloning 5.5 60,173 9,379 0 20 177 0

Serving

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 open-webui/open-webui 73.4 154,212 22,540 225 881 288 0
2 PDFMathTranslate/PDFMathTranslate 40 37,390 3,341 688 59 168 0
3 janhq/jan 33.3 44,852 3,074 490 184 542 0
4 Mintplex-Labs/anything-llm 28.7 66,820 7,456 145 263 330 0
5 chatchat-space/Langchain-Chatchat 15.1 38,675 6,256 0 173 32 0
6 AlexsJones/llmfit 14.4 37,708 2,420 66 154 80 0
7 1Panel-dev/1Panel 13.8 37,126 3,372 80 133 367 0
8 lm-sys/FastChat 10.6 39,549 4,775 0 246 1,044 0
9 Zackriya-Solutions/meetily 7.9 31,532 3,442 17 20 364 0
10 lss233/kirara-ai 5.5 19,068 1,832 0 49 3 0

Evaluation

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 confident-ai/deepeval 64.4 18,702 2,032 124 337 708 0
2 bitnami/charts 50.5 10,417 10,307 8 2,780 12 0
3 prometheus-community/helm-charts 48.2 6,214 5,394 89 1,815 153 0
4 helmfile/helmfile 20.2 5,215 369 40 405 24 0
5 open-compass/opencompass 13.5 7,496 879 7 186 412 0
6 komodorio/helm-dashboard 11.2 5,779 364 6 58 18 0
7 stackrox/kube-linter 8.8 3,523 278 16 99 90 0
8 omerbsezer/Fast-Kubernetes 7.4 3,855 1,433 0 5 4 0
9 helm/chartmuseum 5.5 3,846 411 0 88 120 0
10 roboll/helmfile 3.9 4,033 551 0 224 525 0

RAG / vector search

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 milvus-io/milvus 76.5 46,341 4,282 178 385 1,430 0
2 qdrant/qdrant 65.9 34,976 2,733 218 209 752 0
3 langchain4j/langchain4j 46.1 13,216 2,595 142 509 943 0
4 chroma-core/chroma 35.3 29,465 2,552 38 196 916 0
5 simdjson/simdjson 33 24,381 1,307 52 203 76 0
6 Tencent/APIJSON 25.4 18,398 2,274 39 98 235 0
7 datawhalechina/all-in-rag 23.3 11,813 5,844 3 12 28 0
8 gka/chroma.js 9 10,598 551 6 45 66 0
9 svcvit/Awesome-Dify-Workflow 8.7 10,782 1,089 0 2 26 0
10 std-microblock/chromatic 5 8,478 400 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 October 8, 2026, this Hugging Face hot list tracks 50 entries. By 24-hour growth, standouts include "GEV-26B-Decide", "Swift-1.5-Qwen3.8-27B-GSQ-RCO-GGUF", "Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF", "Qwen3.8-Flash-Next-GSQ-RCO-Coder-GGUF", "Qwen3.8-Flash-Next-Uncensored-GGUF". Organizations appearing most often near the top include autotrust, Qwen, Cloudflare, google—a sign that releases, forks, and task pipelines remain fast-moving.

About 50 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 “Show HN: LLM Fuzz CI”; Hacker News highlights “AHM Statement on OpenAI's October 6 Release of Mathematical Documents”; Hacker News highlights “Dear LLM, or how I stopped getting generic advice”. 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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