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Hottest open-source projects in the last 24 hours

sindresorhus/awesome · ⭐ 472,777 freeCodeCamp/freeCodeCamp · ⭐ 446,028 public-apis/public-apis · ⭐ 439,248 EbookFoundation/free-programming-books · ⭐ 389,646 openclaw/openclaw · ⭐ 376,725 nilbuild/developer-roadmap · ⭐ 356,220 vinta/awesome-python · ⭐ 301,173 awesome-selfhosted/awesome-selfhosted · ⭐ 297,112 sindresorhus/awesome · ⭐ 472,777 freeCodeCamp/freeCodeCamp · ⭐ 446,028 public-apis/public-apis · ⭐ 439,248 EbookFoundation/free-programming-books · ⭐ 389,646 openclaw/openclaw · ⭐ 376,725 nilbuild/developer-roadmap · ⭐ 356,220 vinta/awesome-python · ⭐ 301,173 awesome-selfhosted/awesome-selfhosted · ⭐ 297,112

Open source · Live · GitHub + HF

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
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:

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 89.5 376,725 78,720 15,463 2,478 7,544 4,045
2 langchain-ai/langchain 32.6 138,479 22,942 236 3,686 597 435
3 Significant-Gravitas/AutoGPT 30.5 184,746 46,185 132 821 447 266
4 affaan-m/ECC 28.1 206,428 31,691 447 203 73 28
5 NousResearch/hermes-agent 25.8 179,985 30,846 3,304 1,427 17,488 6,030
6 langflow-ai/langflow 16.7 149,215 9,187 88 343 925 241
7 firecrawl/firecrawl 13.9 128,434 7,649 205 154 361 62
8 google-gemini/gemini-cli 13.7 104,919 13,985 190 681 1,329 1,097
9 Shubhamsaboo/awesome-llm-apps 13.6 112,968 16,749 20 84 3 1
10 browser-use/browser-use 11.7 97,119 10,864 98 334 256 63

Multi-agent

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 lobehub/lobehub 90 78,173 15,369 754 328 361 86
2 TauricResearch/TradingAgents 51 82,826 16,058 48 20 301 156
3 FoundationAgents/MetaGPT 43.2 68,508 8,740 0 148 122 17
4 zhayujie/CowAgent 39 45,054 10,168 161 121 9 7
5 danny-avila/LibreChat 37.1 38,090 7,830 254 360 478 278
6 openai/openai-agents-python 27.8 26,904 4,154 167 278 126 45
7 Yeachan-Heo/oh-my-claudecode 26.8 35,745 3,260 174 118 0 0
8 wshobson/agents 21.5 36,333 3,943 74 64 5 2
9 OpenBMB/ChatDev 14.4 33,311 4,147 11 18 56 39
10 agentscope-ai/agentscope 6.6 26,107 2,899 45 55 286 213

Inference

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 ggml-org/llama.cpp 76.3 114,558 19,149 472 1,724 1,729 683
2 sgl-project/sglang 55.4 28,936 6,324 1,288 1,480 3,721 675
3 BerriAI/litellm 44.6 49,250 8,588 577 1,526 3,494 1,402
4 earendil-works/pi 41.2 59,599 7,147 436 218 51 40
5 microsoft/onnxruntime 24.1 20,721 3,958 225 925 1,372 822
6 GeeeekExplorer/nano-vllm 12.1 13,849 2,172 0 15 71 26
7 k2-fsa/sherpa-onnx 11 12,705 1,450 32 207 586 536
8 abetlen/llama-cpp-python 10.3 10,364 1,413 48 193 669 596
9 niedev/RTranslator 10.1 10,070 928 4 12 32 31
10 h2oai/h2ogpt 10.1 11,987 1,309 0 78 329 292

LLM library

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 huggingface/transformers 64.6 161,267 33,407 239 3,967 2,411 1,039
2 nexu-io/open-design 45.5 58,465 6,595 1,710 305 325 208
3 fighting41love/funNLP 25.7 81,057 15,220 0 13 47 38
4 safishamsi/graphify 20.4 59,090 6,160 307 65 286 112
5 labmlai/annotated_deep_learning_paper_implementations 18 66,896 6,712 0 42 33 29
6 unslothai/unsloth 16.8 65,710 5,875 375 196 1,360 1,120
7 sickn33/antigravity-awesome-skills 15.9 39,676 6,433 209 233 3 0
8 ComposioHQ/awesome-claude-skills 15.4 63,183 6,948 5 29 752 114
9 asgeirtj/system_prompts_leaks 14 41,230 6,836 119 21 26 0
10 huggingface/pytorch-image-models 10.5 36,855 5,163 10 193 63 44

Training framework

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 pytorch/pytorch 64.9 100,374 27,931 1,858 6,603 18,291 15,447
2 AUTOMATIC1111/stable-diffusion-webui 48.8 163,428 30,374 0 639 2,490 2,419
3 vllm-project/vllm 39.9 81,911 17,638 950 2,753 5,189 1,984
4 tensorflow/models 32.3 77,665 45,046 7 957 1,289 1,083
5 Comfy-Org/ComfyUI 30.2 115,655 13,525 223 320 4,070 3,731
6 rasbt/LLMs-from-scratch 23.6 96,616 14,780 9 66 2 2
7 keras-team/keras 21.2 64,087 19,749 101 1,524 175 144
8 ultralytics/yolov5 14.1 57,489 17,474 2 347 44 36
9 ultralytics/ultralytics 13.5 57,981 11,137 120 361 312 82
10 CorentinJ/Real-Time-Voice-Cloning 10.6 59,883 9,408 0 20 170 161

Serving

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 open-webui/open-webui 97.7 139,959 20,098 389 842 286 157
2 Mintplex-Labs/anything-llm 29.1 61,031 6,627 57 202 318 297
3 janhq/jan 26.4 42,851 2,908 138 172 429 377
4 1Panel-dev/1Panel 25.4 35,750 3,192 158 119 414 401
5 chatchat-space/Langchain-Chatchat 21.4 38,136 6,213 0 173 22 8
6 AlexsJones/llmfit 16.3 27,371 1,671 48 67 72 46
7 PDFMathTranslate/PDFMathTranslate 14.7 34,470 3,078 1 57 128 112
8 langbot-app/LangBot 13.5 16,206 1,431 53 84 125 117
9 lm-sys/FastChat 12.1 39,478 4,786 0 246 1,015 880
10 lss233/kirara-ai 11 18,787 1,836 0 49 2 2

Evaluation

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 confident-ai/deepeval 68.8 15,912 1,490 226 297 275 206
2 bitnami/charts 58.1 10,362 10,358 12 2,760 9 4
3 prometheus-community/helm-charts 38 6,124 5,374 57 1,775 222 122
4 helmfile/helmfile 19.9 5,125 345 33 385 42 32
5 komodorio/helm-dashboard 16.6 5,702 356 8 55 20 18
6 open-compass/opencompass 14.3 7,059 784 15 165 460 377
7 omerbsezer/Fast-Kubernetes 11.4 3,455 1,197 0 5 3 1
8 stackrox/kube-linter 10.6 3,459 264 12 91 82 75
9 helm/chartmuseum 9.8 3,832 405 1 88 115 91
10 roboll/helmfile 3 4,041 553 0 223 529 518

RAG / vector search

Rank Repository Score Stars Forks Commits (30d) Contributors Open issues Open PRs
1 milvus-io/milvus 69.2 44,625 4,040 197 356 915 700
2 qdrant/qdrant 67.5 31,788 2,318 517 173 562 416
3 chroma-core/chroma 41.3 28,202 2,285 103 186 631 296
4 langchain4j/langchain4j 36.4 12,206 2,282 152 414 761 594
5 simdjson/simdjson 33.1 23,813 1,257 29 184 133 124
6 Tencent/APIJSON 27.1 18,399 2,270 14 92 240 237
7 datawhalechina/all-in-rag 25.8 8,243 4,078 10 11 16 12
8 svcvit/Awesome-Dify-Workflow 14.4 10,550 1,061 0 2 22 18
9 gka/chroma.js 13.3 10,565 547 0 43 66 61
10 std-microblock/chromatic 10 8,295 391 0 1 0 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 (auto-generated)

For the week ending June 4, 2026, this Hugging Face hot list tracks 8 entries. By 24-hour growth, standouts include "LocateAnything-3B", "MiniCPM5-1B", "LFM2.5-8B-A1B", "Step-3.7-Flash", "gemma-4-12B-it". Organizations appearing most often near the top include google, nvidia, LiquidAI, HauhauCS—a sign that releases, forks, and task pipelines remain fast-moving.

This snapshot skews toward established high-traffic cards; pair it with the “fastest growing today” rail to separate spikes from sustained interest.

For cloud-side movement, use the Token section on this page together with the methodology notes on how we ingest news.

The grouped GitHub comparison below spans 8 ecosystem segments so you can contrast model buzz with engineering activity (stars, commits, issues/PRs). This text is auto-generated from the same snapshot as the tables and is for research context only—not financial or legal advice.

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